Acquisition method, calculation method, evaluation device, calculation device, evaluation program, calculation program, recording medium, and evaluation system

Abstract

To provide a method for evaluation which can provide reliable information which can be referred to for knowing the state of mild cognitive impairment.SOLUTION: The state of a mild cognitive impairment is evaluated for an evaluation target by using at least one of the concentration value of α-ABA, Ala, Arg, Asn, Cit, Glu, Gln, Gly, His, Ile, Leu, Lys, Met, Orn, Phe, Pro, Ser, Thr, Trp, Tyr, Val, Taurine, 1-MeHis, 3-MeHis, aAAA, aAiBA, ADMA, Allyl Cys, bABA, bAiBA, Cystathionine, Cysteic acid, EtGly, GABA, hArg, Hypotaurine, Hypro, Kyn, Pyrazole-1-Ala, MCSO, or Thioproline in blood as an evaluation target and the test value of Alb, Folate, WBC, RBC, Hb, Ht, and PLT.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an assessment method, a calculation method, an assessment device, an assessment program, a recording medium, an assessment system, and a terminal device for Mild Cognitive Impairment (hereinafter, referred to as "MCI"). [Background technology]

[0002] MCI refers to a state that is considered to be a pre-stage or borderline case of various dementias, in which cognitive function is impaired compared to normal aging according to age, but there is no interference with daily life and it is not diagnosed as dementia. Currently, two main diagnostic criteria for MCI have been proposed and widely accepted (Non-Patent Documents 1, 2). In addition to AD (Alzheimer's Disease), there are various background diseases of MCI, such as dementia with Lewy bodies (DLB), frontotemporal lobar degeneration (FTLD), vascular dementia (VaD), and senile depression, and depending on the causative disease, it may be possible to reduce the risk of developing dementia by appropriate intervention. Therefore, by providing a simple screening method that can distinguish MCI, it is expected that the possibility of providing more people with opportunities for consultation and prevention and treatment at an earlier stage and contributing to preventing an increase in the number of people developing dementia will be increased.

[0003] However, when neuropsychological tests currently in widespread use as screening methods for dementia, such as the Mini Mental State Examination (hereinafter referred to as "MMSE"), the Hasegawa Dementia Scale-Revised (hereinafter referred to as "HDS-R"), and the Alzheimer's Disease Assessment Scale-Cognitive (hereinafter referred to as "ADAS-cog"), are applied to screening for MCI, there are issues such as a lower detection accuracy compared to judging dementia, low throughput due to the long test time, and the need for skilled personnel to administer the test. A new simple testing technology that can supplement conventional neuropsychological tests as a screening method for MCI is required.

[0004] Regarding the technology for identifying MCI by blood tests, a technology is known that measures the concentration of peptide fragments in blood and uses the concentration as an index to identify MCI (Non-Patent Document 3). In addition, a technology for identifying AD and MCI by quantitative analysis of amino acids and amino acid-related metabolites in blood is known (Patent Document 1). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] International Publication No. 2018 / 008764 [Non-patent literature]

[0006] [Non-Patent Document 1] Petersen et al., Arch Neurol (1999) 56(6):760.; Mild cognitive impairment: clinical characterization and outcome. [Non-Patent Document 2] Winblad et al., J. Intern. Med. (2004)256(3):240-6.; Mild cognitive impairment--beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment. [Non-Patent Document 3] Nakamura et al., Nature. (2018) 554(7691):249-254.; High performance plasma amyloid-β biomarkers for Alzheimer's disease. Summary of the Invention [Problem to be solved by the invention]

[0007] However, with regard to highly accurate MCI assessment technology that uses blood concentrations of metabolites, including amino acids and amino acid-related metabolites, as an indicator, there was a problem in that, in order to put it into practical use, further improvement in accuracy was required to meet the required standards in actual clinical practice.

[0008] The present invention has been made in consideration of the above, and aims to provide an evaluation method, a calculation method, an evaluation device, a calculation device, an evaluation program, a recording medium, an evaluation system, and a terminal device that can provide highly reliable information that can be useful in knowing the state of MCI. [Means for solving the problem]

[0009] In order to solve the above-mentioned problems and achieve the object, the evaluation method of the present invention is directed to evaluating 22 types of amino acids (α-ABA, Ala, Arg, Asn, Cit, Glu, Gln, Gly, His, Ile, Leu, Lys, Met, Orn, Phe, Pro, Ser, Thr, Trp, Tyr, Val, and Taurine) and 30 types of amino acid-related metabolites (1-MeHis, 3-MeHis, aAAA, aAiBA, ADMA, Allyl Cys, bABA, bAiBA, Cystathionine, Cysteic acid, EtGly, GABA, hArg, Hypotaurine, Hypro, Kyn, Pyrazole-1-Ala, MCSO, MeCys, N6-AcLys, N8-AcSpd, Opthalmic acid, PEA, Pipecolic and an evaluation step of evaluating the MCI state of the subject using at least one value selected from the concentration values ​​of blood biochemistry test items (Alb, Folate, WBC, RBC, Hb, Ht, and PLT) and test values ​​of seven types of blood biochemistry test items (Alb, Folate, WBC, RBC, Hb, Ht, and PLT), or a formula including a variable into which the at least one value is substituted and a value of the formula calculated using the at least one value.

[0010] In this specification, various amino acids, various amino acid-related metabolites, and various blood biochemical test items are mainly represented by abbreviations, but their official names are as follows. (Abbreviation) (Formal name) α-ABA α-Aminobutyric acid Ala Alanine Arg Arginine Asparagine Cit Citrulline Gln Glutamine Glutamic acid Gly Glycine His Histidine Isoleucine Leu Leucine Lysine Methionine Orn Ornithine Phe Phenylalanine Proline Ser Serine Taurine Taurine Thr Threonine Trp Tryptophan Tyr Tyrosine Val Valine Total Value of BCAA Valine, Leucine and Isoleucine Sum of EAA His, Ile, Leu, Lys, Met, Phe, Thr, Tyr and Val

[0011] (Abbreviation) (Formal name) 1-MeHis N(pi)-Methyl-L-histidine 3-MeHis N(tau)-Methyl-L-histidine aAAA aminoadipic acid aAiBA 2-Aminoisobutyric acid ADMA Asymmetric dimethylarginine Allyl Cys Allyl cysteine bABA 3-Aminobutanoic acid bAiBA L-3-Aminoisobutyric acid Cystathionine L-Cystathionine Cysteic acid Cysteic acid EtGly Ethylglycine GABA 4-Aminobutyric Acid hArg L-Homoarginine Hypotaurine Hypotaurine Hypro 4-Hydroxy-L-proline Kyn L-Kynurenine Kyn / Trp L-Kynurenine / Tryptophan Kyn / BCAA L-Kynurenine / BCAA Pyrazole-1-Ala 2-amino-3-(1H-pyrazol-1-yl)propanoic acid MCSO S-Methyl-L-cysteine sulfoxide MCSO1 S-Methyl-L-cysteine sulfoxide 1st peak MCSO2 S-Methyl-L-cysteine sulfoxide 2nd peak MeCys Methyl cysteine MCSO2 / MeCys S-Methyl-L-cysteine sulfoxide 2nd peak / Methyl cysteine N6-AcLys Ne-Acetyl-L-lysine N8-AcSpd N8-Acetylspermidine Opthalmic acid Opthalmic acid PEA Phosphoethanolamine Pipecolic acid Pipecolic acid Put Putrescine Sar Sarcosine SDMA Symmetric dimethylarginine Spermidine Spermine Thioproline Thioproline

[0012] (Abbreviation) (Formal name) Albumin Folate Folate WBC White blood cell counts RBC Red blood cell counts Hb Hemoglobin Ht Hematocrit PLT Platelet counts

[0013] In the evaluation method according to the present invention, the evaluation step is executed in a control unit of an information processing device including a control unit.

[0014] Furthermore, the calculation method of the present invention is characterized by including a calculation step of calculating the value of a formula for evaluating the state of MCI using a formula including at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of the subject to be evaluated and the test values ​​of the seven types of blood biochemistry test items, and a variable into which the at least one value is substituted.

[0015] In the calculation method according to the present invention, the calculation step is executed in a control unit of an information processing device including a control unit.

[0016] Furthermore, the evaluation device of the present invention is characterized in that it is an evaluation device equipped with a control unit, and the control unit is equipped with evaluation means for evaluating the MCI state of the evaluation subject using at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of the evaluation subject and the test values ​​of the seven types of blood biochemistry test items, or an equation including a variable into which the at least one value is substituted and the value of the equation calculated using the at least one value.

[0017] Furthermore, the evaluation device of the present invention is communicatively connected via a network to a terminal device that provides blood data relating to the at least one value or the value of the formula, and the control unit further comprises a data receiving means for receiving the blood data of the evaluation subject or the value of the formula transmitted from the terminal device, and a result transmitting means for transmitting the evaluation result obtained by the evaluation means to the terminal device, and is characterized in that the evaluation means uses the at least one value or the value of the formula contained in the blood data received by the data receiving means.

[0018] Furthermore, the calculation device according to the present invention is characterized in that it is a calculation device including a control unit, and the control unit includes a calculation means for calculating a value of a formula for evaluating the state of MCI using the formula, the formula including at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of a subject to be evaluated and the test values ​​of the seven types of blood biochemistry test items, and a variable into which the at least one value is substituted.

[0019] Furthermore, the evaluation program of the present invention is an evaluation program to be executed in an information processing device having a control unit, and is characterized in that it includes an evaluation step of evaluating the MCI state of the evaluation subject using at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of the evaluation subject and the test values ​​of the seven types of blood biochemistry test items, or an equation including a variable into which the at least one value is substituted and the value of the equation calculated using the at least one value, to be executed in the control unit.

[0020] Furthermore, the calculation program of the present invention is a calculation program to be executed in an information processing device having a control unit, and is characterized in that it includes a calculation step of calculating a value of a formula for evaluating the state of MCI using the formula, the formula including at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of a subject to be evaluated and the test values ​​of the seven types of blood biochemistry test items, and a variable into which the at least one value is substituted, to be executed in the control unit.

[0021] The recording medium according to the present invention is a computer-readable recording medium having the evaluation program or the calculation program recorded therein. Specifically, the recording medium according to the present invention is a non-transitory computer-readable recording medium, and is characterized in that it contains programmed instructions for causing an information processing device to execute the evaluation method or the calculation method.

[0022] Furthermore, an evaluation system according to the present invention is an evaluation system configured by communicatively connecting, via a network, an evaluation device including a control unit and a terminal device including a control unit and providing blood data relating to at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of a subject to be evaluated and the test values ​​of the seven types of blood biochemistry test items, or a formula including a variable into which the at least one value is substituted and a value of the formula calculated using the at least one value, wherein the control unit of the terminal device comprises: data transmitting means for transmitting the blood data of the subject to be evaluated or the value of the formula to the evaluation device; and result receiving means for receiving an evaluation result relating to the MCI state of the subject to be evaluated transmitted from the evaluation device, and the control unit of the evaluation device comprises: data receiving means for receiving the blood data of the subject to be evaluated or the value of the formula transmitted from the terminal device, evaluation means for evaluating the MCI state of the subject to be evaluated using the at least one value or the value of the formula contained in the blood data of the subject to be evaluated received by the data receiving means, and result transmitting means for transmitting the evaluation result obtained by the evaluation means to the terminal device.

[0023] Furthermore, a terminal device according to the present invention is a terminal device equipped with a control unit, the control unit comprising a result acquisition means for acquiring an evaluation result regarding the MCI state of the evaluation subject, and the evaluation result is a result of evaluating the MCI state of the evaluation subject using at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of the evaluation subject and the test values ​​of the 7 types of blood biochemistry test items, or an equation including a variable into which the at least one value is substituted and the value of the equation calculated using the at least one value.

[0024] Furthermore, the terminal device according to the present invention is communicatively connected via a network to an evaluation device that evaluates the MCI state of the evaluation subject, and the control unit comprises a data transmission means that transmits blood data or the value of the formula related to at least one of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in the blood of the evaluation subject and the test values ​​of the 7 types of blood biochemistry test items to the evaluation device, and the result acquisition means receives the evaluation result transmitted from the evaluation device. Effect of the Invention

[0025] According to the present invention, it is possible to provide highly reliable information that can serve as a reference for understanding the state of MCI. [Brief description of the drawings]

[0026] [Figure 1] FIG. 1 is a diagram showing the basic principle of the first embodiment. [Diagram 2] FIG. 2 is a diagram showing the basic principle of the second embodiment. [Diagram 3] FIG. 3 is a diagram showing an example of the overall configuration of the present system. [Figure 4] FIG. 4 is a diagram showing another example of the overall configuration of the present system. [Diagram 5] FIG. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of this system. [Figure 6] FIG. 6 is a diagram showing an example of information stored in blood data file 106a. [Figure 7] FIG. 7 is a diagram showing an example of information stored in the index state information file 106b. [Figure 8] FIG. 8 is a diagram showing an example of information stored in the designated index state information file 106c. [Figure 9] FIG. 9 is a diagram showing an example of information stored in the formula file 106d1. [Figure 10]FIG. 10 is a diagram showing an example of information stored in the evaluation result file 106e. [Figure 11] FIG. 11 is a block diagram showing the configuration of the evaluation unit 102d. [Figure 12] FIG. 12 is a block diagram showing an example of the configuration of a client device 200 of this system. [Figure 13] FIG. 13 is a block diagram showing an example of the configuration of the database device 400 of this system. [Figure 14] FIG. 14 is a diagram showing a chromatogram obtained by a liquid chromatograph mass spectrometer. [Figure 15] FIG. 15 is a diagram showing a chromatogram obtained by a liquid chromatograph mass spectrometer. [Figure 16] FIG. 16 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Figure 17] FIG. 17 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Figure 18] FIG. 18 is a diagram showing the occurrence frequency of variables in a logistic regression equation. [Figure 19] FIG. 19 is a diagram showing the frequency of occurrence of combinations of two types of variables in a logistic regression equation. [Figure 20] FIG. 20 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Figure 21] FIG. 21 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Figure 22] FIG. 22 is a diagram showing the occurrence frequency of variables in a logistic regression equation. [Figure 23] FIG. 23 is a diagram showing the frequency of occurrence of combinations of two types of variables in a logistic regression equation. [Figure 24] FIG. 24 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Diagram 25]FIG. 25 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Figure 26] FIG. 26 is a diagram showing the appearance frequency of variables in a logistic regression equation. [Figure 27] FIG. 27 is a diagram showing the frequency of occurrence of combinations of two types of variables in a logistic regression equation. [Figure 28] FIG. 28 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Figure 29] FIG. 29 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Diagram 30] FIG. 30 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Diagram 31] FIG. 31 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Diagram 32] FIG. 32 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Diagram 33] FIG. 33 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Diagram 34] FIG. 34 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. [Diagram 35] FIG. 35 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Diagram 36] FIG. 36 is a diagram showing variables included in the logistic regression equation and the ROC_AUC value. [Figure 37] FIG. 37 is a diagram showing variables included in the logistic regression equation and ROC_AUC values. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0027] Hereinafter, an embodiment (first embodiment) of the evaluation method and calculation method according to the present invention, and an embodiment (second embodiment) of the evaluation device, calculation device, evaluation method, calculation program, recording medium, evaluation system, and terminal device according to the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to these embodiments.

[0028] [First embodiment] [1-1. Overview of the first embodiment] Here, an overview of the first embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing the basic principle of the first embodiment.

[0029] First, blood data is obtained regarding the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in blood (including, for example, plasma, serum, whole blood, etc.) collected from a subject to be evaluated (for example, an individual such as an animal or human) and at least one of the test values ​​of the seven types of blood biochemistry test items (step S11).

[0030] In step S11, blood data measured by a company or the like that measures concentration values ​​or test values ​​may be obtained. Blood data may also be obtained by measuring concentration values ​​from blood collected from the subject to be evaluated, for example, by the following measurement method (A), (B), or (C). Here, the unit of concentration value may be, for example, molar concentration, weight concentration, or enzyme activity, or may be obtained by adding, subtracting, multiplying, or dividing any constant by these concentrations. Blood data may also be obtained by measuring test values ​​from blood collected from the subject to be evaluated, for example, by a measurement method such as the improved BCP (bromocresol purple) method, the CLEIA (chemiluminescent enzyme immunoassay) method, a flow cytometry method using a semiconductor laser, a sheath flow direct current detection method, an SLS (sodium lauryl sulfate)-hemoglobin method, or a red blood cell pulse peak value detection method. (A) The collected blood sample is centrifuged to separate plasma from the blood. All plasma samples are frozen and stored at -80°C until the concentration value is measured. When measuring the concentration value, acetonitrile is added to perform a deproteinization treatment, and then impurities such as phospholipids are removed by solid phase extraction or the like as necessary, pre-column derivatization is performed using a labeling reagent (3-aminopyridyl-N-hydroxysuccinimidyl carbamate), and the concentration value is analyzed by liquid chromatography mass spectrometry (including tandem mass spectrometry) (see International Publication Nos. WO 2003 / 069328 and WO 2005 / 116629). (B) The collected blood samples are centrifuged to separate plasma from the blood. All plasma samples are frozen and stored at -80°C until the concentration values ​​are measured. When measuring the concentration values, sulfosalicylic acid is added to remove proteins, and then the concentration values ​​are analyzed using an amino acid analyzer based on the post-column derivatization method using ninhydrin reagent. (C) The collected blood sample is subjected to blood cell separation using membranes, MEMS (Micro Electro Mechanical Systems) technology, or the principle of centrifugation to separate plasma or serum from the blood. Plasma or serum samples that are not subjected to concentration measurement immediately after plasma or serum collection are frozen and stored at -80°C until the concentration value is measured. When measuring the concentration value, molecules such as enzymes and aptamers that react with or bind to the target blood substance are used to analyze the concentration value by quantifying substances that increase or decrease due to substrate recognition or spectroscopic values.

[0031] Next, the MCI state of the evaluation subject is evaluated using at least one of the values ​​included in the blood data acquired in step S11 (step S12). Note that before executing step S12, data such as missing values ​​and outliers may be removed from the blood data acquired in step S11. Here, evaluating the MCI state means, for example, examining the current state of MCI.

[0032] As described above, according to the first embodiment, in step S11, blood data of the subject is acquired, and in step S12, the at least one value contained in the blood data of the subject acquired in step S11 is used to evaluate the MCI state of the subject (in other words, information for evaluating the MCI state of the subject or highly reliable information that can be useful in knowing the MCI state of the subject is acquired). This makes it possible to provide information for evaluating the MCI state of the subject or highly reliable information that can be useful in knowing the MCI state of the subject.

[0033] In addition, at least one of the concentration values ​​of the 22 amino acids and the 30 amino acid-related metabolites and the test values ​​of the 7 blood biochemistry test items may be determined to reflect the MCI state of the subject, and the concentration values ​​or test values ​​may be converted, for example, by the methods listed below, and the converted values ​​may be determined to reflect the MCI state of the subject. In other words, the concentration values ​​or test values ​​or the converted values ​​themselves may be treated as the evaluation results regarding the MCI state of the subject. In order to ensure that the possible range of concentration values ​​falls within a predetermined range (e.g., a range of 0.0 to 1.0, a range of 0.0 to 10.0, a range of 0.0 to 100.0, a range of -10.0 to 10.0, etc.), the concentration values ​​may be transformed, for example, by adding, subtracting, multiplying, or dividing an arbitrary value to the concentration values, by converting the concentration values ​​using a predetermined transformation method (e.g., exponential transformation, logarithmic transformation, angular transformation, square root transformation, probit transformation, reciprocal transformation, Box-Cox transformation, or power transformation), or by performing a combination of these calculations on the concentration values ​​(the same applies to test values). For example, the value of an exponential function with the concentration value as the exponent and Napier's number as the base (specifically, the value of p / (1-p) when the natural logarithm ln(p / (1-p)) of the probability p that the MCI state is a predetermined state (e.g., a state that exceeds the reference value, a state with a high possibility of having MCI, etc.) is defined as being equal to the concentration value) may be further calculated, and the value calculated by dividing the value of the exponential function by the sum of 1 and the value in question (specifically, the value of the probability p) may be further calculated (the same applies to test values). The concentration values ​​may also be converted so that the converted values ​​under specific conditions are specific values. For example, the concentration values ​​may be converted so that the converted value is 5.0 when the specificity is 80% and the converted value is 8.0 when the specificity is 95% (the same applies to the test values). In addition, for each amino acid and each amino acid-related metabolite, the concentration distribution may be normalized and then converted to a deviation value with an average of 50 and a standard deviation of 10 (the same applies to test values). These conversions may also be performed by gender or age (the same applies to test values). In addition, the density value in this specification may be the density value itself, or may be a value after converting the density value (the same applies to the test value).

[0034] In addition, position information regarding the position of a predetermined mark on a predetermined ruler that is visibly displayed on a display device such as a monitor or a physical medium such as paper may be generated using at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the seven types of blood biochemistry test items, or the converted value if the at least one value is converted, and the generated position information may be determined to reflect the MCI state of the evaluation subject. Note that the predetermined ruler is for evaluating the MCI state, and is, for example, a ruler with a scale, and at least a scale corresponding to the upper and lower limits of the "range in which the concentration value or test value or the converted value can be taken, or a part of the range". In addition, the predetermined mark is a mark corresponding to the concentration value or test value or the converted value, and is, for example, a circle or a star.

[0035] In addition, when at least one of the concentration values ​​of the 22 kinds of amino acids and the 30 kinds of amino acid-related metabolites and the test values ​​of the 7 kinds of blood biochemistry test items is lower than a predetermined value (such as the mean ± 1SD, 2SD, 3SD, N quantile, N percentile, or a cutoff value recognized for clinical significance), or is equal to or higher than a predetermined value, the MCI state of the evaluation subject may be evaluated. In this case, instead of the concentration value itself, the concentration deviation value (a value obtained by normalizing the concentration distribution for each amino acid and each amino acid-related metabolite by sex and then deviating the distribution to an average of 50 and a standard deviation of 10) may be used (similar to the test value). For example, when the concentration deviation value is less than the mean value -2SD (when the concentration deviation value is <30) or when the concentration deviation value is higher than the mean value +2SD (when the concentration deviation value is >70), the MCI state of the evaluation subject may be evaluated (similar to the test value).

[0036] In addition, the MCI state of the subject may be evaluated by calculating the value of an equation using an equation including at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the seven types of blood biochemistry test items, and a variable into which the at least one value is substituted.

[0037] Also, the calculated value of the formula may be determined to reflect the MCI state of the evaluation subject, and further, the value of the formula may be converted, for example, by the method listed below, and the converted value may be determined to reflect the MCI state of the evaluation subject. In other words, the value of the formula or the converted value itself may be treated as the evaluation result regarding the MCI state of the evaluation subject. In order to ensure that the possible range of the value of the formula falls within a predetermined range (e.g., a range of 0.0 to 1.0, a range of 0.0 to 10.0, a range of 0.0 to 100.0, or a range of -10.0 to 10.0, etc.), the value of the formula may be transformed, for example, by adding, subtracting, multiplying, or dividing an arbitrary value to the value of the formula, by transforming the value of the formula using a predetermined transformation method (e.g., exponential transformation, logarithmic transformation, angular transformation, square root transformation, probit transformation, reciprocal transformation, Box-Cox transformation, or power transformation, etc.), or by performing a combination of these calculations on the value of the formula. For example, the value of an exponential function with the value of the formula as the exponent and Napier's number as the base (specifically, the value of p / (1-p) when the natural logarithm ln(p / (1-p)) when the probability p of the MCI state being a predetermined state (e.g., exceeding a reference value, a state with a high possibility of having MCI, etc.) is defined is equal to the value of the formula) may be further calculated, and a value obtained by dividing the calculated exponential function value by the sum of 1 and the value itself (specifically, the value of the probability p) may be further calculated. The value of the formula may also be converted so that the converted value under a particular condition is a particular value, for example, the converted value may be 5.0 when the specificity is 80% and 8.0 when the specificity is 95%. The deviation values ​​may also be converted to mean 50 and standard deviation 10. These conversions may be performed according to gender or age. In this specification, the value of an expression may be the value of the expression itself, or may be a value obtained after the value of the expression is converted.

[0038] In addition, position information regarding the position of a predetermined mark on a predetermined ruler that is visibly displayed on a display device such as a monitor or a physical medium such as paper may be generated using the value of the formula or the converted value if the value of the formula is converted, and it may be determined that the generated position information reflects the MCI state of the evaluation subject. The predetermined ruler is for evaluating the MCI state, and is, for example, a ruler with a scale that shows at least scales corresponding to the upper and lower limits of "the range in which the value of the formula or the converted value can be taken, or a part of the range." The predetermined mark is, for example, a circle or a star that corresponds to the value of the formula or the converted value.

[0039] The degree of possibility that the subject is suffering from MCI may be qualitatively evaluated. Specifically, the subject may be classified into one of a plurality of categories defined by at least considering the degree of possibility that the subject is suffering from MCI using "at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the seven types of blood biochemistry test items, and one or more preset thresholds" or "at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the seven types of blood biochemistry test items, an equation including a variable into which the at least one value is substituted, and one or more preset thresholds." The plurality of categories may include a category for subjects who are highly likely to suffer from MCI (e.g., subjects who are considered to have MCI), a category for subjects who are low likely to suffer from MCI (e.g., subjects who are considered not to have MCI), and a category for subjects who are moderately likely to suffer from MCI. The multiple categories may include a category for subjects who are highly likely to have MCI, and a category for subjects who are low likely to have MCI (e.g., a category for subjects who are highly likely to be healthy (e.g., subjects considered to be healthy)). The concentration value, test value, or formula value may be converted by a predetermined method, and the converted value may be used to classify the evaluation subject into one of the multiple categories.

[0040] The formula used for the evaluation can be in any format, but may be, for example, in the format shown below. Linear models such as multiple regression equations based on the least squares method, linear discriminants, principal component analysis, and canonical discriminant analysis Generalized linear models such as maximum likelihood logistic regression and Cox regression -Generalized linear mixed model that considers random effects such as individual differences and facility differences in addition to generalized linear models · Equations created by cluster analysis such as K-means and hierarchical cluster analysis Formulas based on Bayesian statistics such as MCMC (Markov Chain Monte Carlo), Bayesian Networks, and Hierarchical Bayesian methods - Formulas created by class classification such as support vector machines and decision trees Formulas created using methods that do not fall into the above categories, such as fractional formulas An equation that can be expressed as a sum of different forms of equations

[0041] Furthermore, the formula used in the evaluation may be prepared, for example, by the method described in International Publication No. WO 2004 / 052191, an international application filed by the present applicant, or the method described in International Publication No. WO 2006 / 098192, an international application filed by the present applicant. Note that, if the formula is obtained by these methods, it can be suitably used to evaluate the state of MCI, regardless of the units of amino acid concentration values, amino acid-related metabolite concentration values, or test values ​​of blood biochemistry test items in blood data as input data.

[0042] Here, in the multiple regression equation, multiple logistic regression equation, canonical discriminant function, etc., a coefficient and a constant term are added to each variable, and these coefficients and constant terms may be real numbers, more preferably, values ​​within the range of the 99% confidence interval of the coefficients and constant terms obtained for performing the various classifications from the data, and even more preferably, values ​​within the range of the 95% confidence interval of the coefficients and constant terms obtained for performing the various classifications from the data. In addition, the value of each coefficient and its confidence interval may be multiplied by a real number, and the value of the constant term and its confidence interval may be added, subtracted, multiplied, or divided by any real constant. When a logistic regression equation, a linear discriminant, a multiple regression equation, etc. are used for evaluation, linear transformation (addition of a constant, constant multiplication) and monotonically increasing (decreasing) transformation (for example, logit transformation, etc.) do not change the evaluation performance and are equivalent to the one before the transformation, so the one after these transformations may be used.

[0043] A fractional expression is one in which the numerator is expressed as the sum of the variables A, B, C, ... and / or the denominator is expressed as the sum of the variables a, b, c, .... Fractional expressions also include sums of fractional expressions of this type, α, β, γ, ... (such as α + β). Fractional expressions also include divided fractional expressions. The variables used in the numerator and denominator may each have an appropriate coefficient. The variables used in the numerator and denominator may also be duplicated. Each fractional expression may have an appropriate coefficient. The values ​​of the coefficients of each variable and the values ​​of the constant terms may be real numbers. Although the positive / negative sign of the correlation between a given fractional formula and one in which the numerator variable and denominator variable have been swapped will generally be reversed, the correlation between them is maintained and the evaluation performance can be considered to be equivalent, so fractional formulas also include those in which the numerator variable and denominator variable have been swapped.

[0044] When evaluating the state of MCI, values ​​related to other biological information (e.g., values ​​listed below) may be used in addition to at least one of the concentration values ​​of the 22 amino acids and the 30 amino acid-related metabolites and the test values ​​of the seven blood biochemistry test items. Furthermore, the formula used in the evaluation may further include one or more variables into which values ​​related to other biological information (e.g., values ​​listed below) are substituted, in addition to variables into which at least one of the concentration values ​​of the 22 amino acids and the 30 amino acid-related metabolites and the test values ​​of the seven blood biochemistry test items are substituted. 1. Concentrations of blood metabolites (sugars, lipids, etc.) other than amino acids and amino acid-related metabolites, proteins, peptides, minerals, hormones, etc. 2. Blood test values ​​such as total protein, triglycerides (neutral fats), HbA1c, glycated albumin, insulin resistance index, total cholesterol, LDL cholesterol, HDL cholesterol, amylase, total bilirubin, creatinine, estimated glomerular filtration rate (eGFR), uric acid, GOT (AST), GPT (ALT), GGTP (γ-GTP), glucose (blood glucose level), CRP (C-reactive protein), MCV, MCH, MCHC, etc. 3. Values ​​obtained from image information such as ultrasound echo, X-ray, CT, MRI, and endoscopic images 4. Values ​​related to biomarkers such as age, height, weight, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, gender, smoking information, dietary information, drinking information, exercise information, stress information, sleep information, family medical history information, disease history information (diabetes, etc.) 5. Values ​​obtained from genetic information such as the number of risk genes for Alzheimer's disease (APOE ε4 allele, etc.)

[0045] [Second embodiment] [2-1. Overview of the second embodiment] Here, an overview of the second embodiment will be described with reference to FIG. 2. FIG. 2 is a principle configuration diagram showing the basic principle of the second embodiment. In the description of the second embodiment, the description overlapping with the first embodiment may be omitted. In particular, a case in which the value of the formula or the converted value thereof is used when evaluating the state of MCI is described here as an example, but for example, at least one value or the converted value thereof (e.g., concentration deviation value) of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items may be used.

[0046] The control unit uses at least one value included in the blood data of the evaluation subject (e.g., an individual such as an animal or human) previously acquired regarding the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in blood and at least one test value of the 7 types of blood biochemistry test items, and a formula previously stored in the storage unit including a variable into which the at least one value is substituted, to calculate the value of the formula, thereby evaluating the MCI state of the evaluation subject (step S21). This makes it possible to provide highly reliable information that can be used as a reference for knowing the MCI state.

[0047] The formula used in step S21 may be one created based on the formula creation process (steps 1 to 4) described below. Here, an overview of the formula creation process will be described. Note that the process described here is merely an example, and the formula creation method is not limited to this.

[0048] First, the control unit creates a candidate equation (e.g., y=a1x1+a2x2+···+anxn, y: index data, xi: blood data, ai: constant, i=1,2,···,n) based on a predetermined equation creation method from index state information (which may be data from which missing values ​​or outliers have been removed in advance) that includes blood data and index data related to indices that represent the MCI state and that is previously stored in the storage unit (step 1).

[0049] In step 1, multiple candidate formulas may be created from the index state information by using multiple different formula creation methods (including those related to multivariate analysis such as principal component analysis, discriminant analysis, support vector machine, multiple regression analysis, Cox regression analysis, logistic regression analysis, k-means method, cluster analysis, and decision tree). Specifically, multiple groups of candidate formulas may be created simultaneously in parallel using multiple different algorithms for index state information, which is multivariate data composed of blood data and index data obtained by analyzing blood obtained from a large number of healthy groups and MCI groups. For example, discriminant analysis and logistic regression analysis may be performed simultaneously using different algorithms to create two different candidate formulas. In addition, the index state information may be converted using a candidate formula created by performing principal component analysis, and a discriminant analysis may be performed on the converted index state information to create a candidate formula. This allows the creation of a formula optimal for evaluation.

[0050] Here, the candidate formula created using principal component analysis is a linear formula including each variable that maximizes the variance of all blood data. The candidate formula created using discriminant analysis is a high-order formula (including exponential and logarithmic) including each variable that minimizes the ratio of the sum of variances in each group to the variance of all blood data. The candidate formula created using support vector machine is a high-order formula (including kernel function) including each variable that maximizes the boundary between groups. The candidate formula created using multiple regression analysis is a high-order formula including each variable that minimizes the sum of distances from all blood data. The candidate formula created using Cox regression analysis is a linear model including a log hazard ratio, and is a linear formula including each variable and its coefficient that maximizes the likelihood of the model. The candidate formula created using logistic regression analysis is a linear model that represents the log odds of probability, and is a linear formula including each variable that maximizes the likelihood of the probability. The k-means method is a method of searching k neighbors of each blood data, defining the most common group among the neighboring points as the group to which the data belongs, and selecting the variable that best matches the defined group to which the input blood data belongs. Cluster analysis is a method of clustering (grouping) points that are closest to each other among all blood data. A decision tree is a method of ranking variables and predicting blood data groups from the possible patterns of variables with higher rankings.

[0051] Returning to the explanation of the formula creation process, the control unit verifies (cross-validates) the candidate formulas created in step 1 based on a predetermined verification method (step 2). The candidate formulas are verified for each candidate formula created in step 1. In step 2, at least one of the discrimination rate, sensitivity, specificity, information criterion, ROC_AUC (area under the receiver characteristic curve), etc. of the candidate formula may be verified based on at least one of the bootstrap method, hold-out method, N-fold method, leave-one-out method, etc. This makes it possible to create a candidate formula with high predictability or robustness that takes into account index state information and evaluation conditions.

[0052] Here, the discrimination rate is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation subjects whose true state is negative (e.g., evaluation subjects not suffering from MCI) as negative and correctly evaluates evaluation subjects whose true state is positive (e.g., evaluation subjects suffering from MCI) as positive. The sensitivity is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation subjects whose true state is positive as positive. The specificity is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation subjects whose true state is negative as negative. The Akaike information criterion is a standard that indicates the degree to which observed data matches a statistical model in the case of regression analysis, etc., and the model with the smallest value defined as "-2 x (maximum logarithmic likelihood of statistical model) + 2 x (number of free parameters of statistical model)" is judged to be the best. ROC_AUC is defined as the area under the receiver characteristic curve (ROC), which is a curve created by plotting (x, y) = (1 - specificity, sensitivity) on a two-dimensional coordinate system, and the ROC_AUC value is 1 for perfect discrimination, with the closer this value is to 1 the higher the discrimination ability. Predictability is the average of the discrimination rate, sensitivity, and specificity obtained by repeatedly verifying the candidate formula. Robustness is the variance of the discrimination rate, sensitivity, and specificity obtained by repeatedly verifying the candidate formula.

[0053] Returning to the explanation of the formula creation process, the control unit selects a combination of blood data included in the index status information used when creating the candidate formula by selecting variables of the candidate formula based on a predetermined variable selection method (step 3). In step 3, variable selection may be performed for each candidate formula created in step 1. This allows the variables of the candidate formula to be appropriately selected. Then, step 1 is executed again using the index status information including the blood data selected in step 3. In step 3, variables of the candidate formula may be selected based on at least one of the stepwise method, the best path method, the local search method, and the genetic algorithm from the verification result in step 2. In addition, the best path method is a method of selecting variables by sequentially reducing the variables included in the candidate formula one by one and optimizing the evaluation index given by the candidate formula.

[0054] Returning to the explanation of the formula creation process, the control unit repeatedly executes the above-mentioned steps 1, 2, and 3, and creates a formula to be used in evaluation by selecting a candidate formula to be used in evaluation from among multiple candidate formulas based on the verification results accumulated thereby (step 4). Note that the selection of the candidate formula may involve, for example, selecting the optimal one from among candidate formulas created using the same formula creation method, or selecting the optimal one from among all candidate formulas.

[0055] As described above, in the formula creation process, the processes related to the creation of candidate formulas, the verification of the candidate formulas, and the selection of variables for the candidate formulas are systematized (systemized) in a series of flows and executed based on the index state information, thereby making it possible to create a formula optimal for the evaluation of MCI. In other words, in the formula creation process, at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items is used in multivariate statistical analysis, and a formula with high evaluation performance is extracted by combining a variable selection method and cross-validation to select an optimal and robust set of variables.

[0056] [2-2. Configuration of the second embodiment] Here, the configuration of the evaluation system according to the second embodiment (hereinafter, sometimes referred to as the present system) will be described with reference to Figs. 3 to 14. Note that the present system is merely an example, and the present invention is not limited thereto. In particular, a case in which the value of the formula or its converted value is used when evaluating the state of MCI is described here as an example, but for example, at least one value or its converted value (e.g., concentration deviation value) of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items may be used.

[0057] First, the overall configuration of the present system will be described with reference to Fig. 3 and Fig. 4. Fig. 3 is a diagram showing an example of the overall configuration of the present system. Fig. 4 is a diagram showing another example of the overall configuration of the present system. As shown in Fig. 3, the present system is configured by connecting, communicatively via a network 300, an evaluation device 100 that evaluates the MCI state of an individual to be evaluated, and a client device 200 (corresponding to the terminal device of the present invention) that provides blood data of the individual regarding at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in blood and the test values ​​of the 7 types of blood biochemistry test items.

[0058] In this system, the client device 200 that provides the data used in the evaluation and the client device 200 that provides the evaluation result may be separate. As shown in FIG. 4, the system may be configured by connecting, in addition to the evaluation device 100 and the client device 200, a database device 400 that stores index state information used when creating a formula in the evaluation device 100 and a formula used in the evaluation, etc., communicably via a network 300. As a result, information that is useful for knowing the state of MCI is provided from the evaluation device 100 to the client device 200 and the database device 400, or from the client device 200 and the database device 400 to the evaluation device 100, via the network 300. Here, the information that is useful for knowing the state of MCI is, for example, information on values ​​measured for specific items related to the state of MCI in living organisms including humans. Furthermore, the information that is useful for knowing the state of MCI is generated by the evaluation device 100, the client device 200, or other devices (for example, various measuring devices, etc.), and is mainly stored in the database device 400.

[0059] Next, the configuration of the evaluation device 100 of this system will be described with reference to Fig. 5 to Fig. 11. Fig. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.

[0060] The evaluation device 100 is composed of a control unit 102 such as a CPU (Central Processing Unit) that controls the evaluation device in an integrated manner, a communication interface unit 104 that communicatively connects the evaluation device to a network 300 via a communication device such as a router and a wired or wireless communication line such as a dedicated line, a storage unit 106 that stores various databases, tables, files, etc., and an input / output interface unit 108 that connects to an input device 112 and an output device 114, and these units are communicatively connected via any communication path. Here, the evaluation device 100 may be composed in the same housing as various analyzers (e.g., amino acid analyzers, etc.). For example, a small analyzer having a configuration (hardware and software) that calculates (measures) at least one value among the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites in blood and the test values ​​of the 7 types of blood biochemistry test items, and outputs (prints, displays on a monitor, etc.) the calculated value may further include an evaluation unit 102d described later, and the results obtained by the evaluation unit 102d are output using the configuration.

[0061] The communication interface unit 104 mediates communication between the evaluation device 100 and the network 300 (or a communication device such as a router). That is, the communication interface unit 104 has a function of communicating data with other terminals via a communication line.

[0062] The input / output interface unit 108 is connected to an input device 112 and an output device 114. Here, the output device 114 may be a monitor (including a home television), a speaker, or a printer (hereinafter, the output device 114 may be referred to as a monitor 114). The input device 112 may be a keyboard, a mouse, a microphone, or a monitor that cooperates with a mouse to realize a pointing device function.

[0063] The memory unit 106 is a storage means, and may be, for example, a memory device such as a RAM (Random Access Memory) or a ROM (Read Only Memory), a fixed disk device such as a hard disk, a flexible disk, an optical disk, etc. The memory unit 106 records computer programs for cooperating with an OS (Operating System) to give instructions to a CPU to perform various processes. As shown in the figure, the memory unit 106 stores a blood data file 106a, an index status information file 106b, a specified index status information file 106c, a formula related information database 106d, and an evaluation result file 106e.

[0064] The blood data file 106a stores blood data related to at least one of the concentration values ​​of the 22 kinds of amino acids and the 30 kinds of amino acid-related metabolites in blood and the test values ​​of the 7 kinds of blood biochemical test items. FIG. 6 is a diagram showing an example of information stored in the blood data file 106a. As shown in FIG. 6, the information stored in the blood data file 106a is configured by associating an individual number for uniquely identifying an individual (sample) to be evaluated with blood data. Here, in FIG. 6, the blood data is treated as a numerical value, i.e., a continuous scale, but the blood data may be a nominal scale or an ordinal scale. In the case of a nominal scale or an ordinal scale, an arbitrary numerical value may be assigned to each state for analysis. In addition, the blood data may be combined with values ​​related to other biological information (see above).

[0065] Returning to FIG. 5, the index state information file 106b stores index state information used when creating a formula. FIG. 7 is a diagram showing an example of information stored in the index state information file 106b. As shown in FIG. 7, the information stored in the index state information file 106b is configured by mutually associating an individual number, index data (T) related to indexes (index T1, index T2, index T3, etc.) that represent the MCI state, and blood data. Here, in FIG. 7, the index data and blood data are treated as numerical values ​​(i.e., continuous scale), but the index data and blood data may be nominal scale or ordinal scale. In the case of a nominal scale or ordinal scale, an arbitrary numerical value may be assigned to each state for analysis. In addition, the index data is a known index that serves as a marker for the MCI state, and numerical data may be used.

[0066] Returning to Fig. 5, the designated index status information file 106c stores index status information designated by the designation unit 102b described below. Fig. 8 is a diagram showing an example of information stored in the designated index status information file 106c. As shown in Fig. 8, the information stored in the designated index status information file 106c is configured by associating an individual number, designated index data, and designated blood data with each other.

[0067] Returning to Fig. 5, the formula-related information database 106d is composed of a formula file 106d1 that stores formulas created by the formula creation unit 102c described later. The formula file 106d1 stores formulas used in evaluation. Fig. 9 is a diagram showing an example of information stored in the formula file 106d1. As shown in Fig. 9, the information stored in the formula file 106d1 is composed of ranks, formulas (Fp(His,···), Fp(His, ADMA, GABA), Fk(His, ADMA, GABA,···), etc. in Fig. 9), thresholds corresponding to each formula creation method, and verification results of each formula (for example, the value of each formula) that are mutually associated with each other.

[0068] Returning to Fig. 5, the evaluation result file 106e stores the evaluation results obtained by the evaluation unit 102d described later. Fig. 10 is a diagram showing an example of information stored in the evaluation result file 106e. The information stored in the evaluation result file 106e is configured by associating an individual number for uniquely identifying an individual (sample) to be evaluated, blood data of the individual previously acquired, and an evaluation result regarding the MCI state (for example, a value of a formula calculated by a calculation unit 102d1 described later, a value obtained by converting the value of the formula by a conversion unit 102d2 described later, position information generated by a generation unit 102d3 described later, or a classification result obtained by a classification unit 102d4 described later, etc.).

[0069] Returning to Fig. 5, the control unit 102 has an internal memory for storing control programs such as an OS, programs that define various processing procedures, required data, etc., and executes various information processing based on these programs. As shown in the figure, the control unit 102 is roughly divided into an acquisition unit 102a, a designation unit 102b, a formula creation unit 102c, an evaluation unit 102d, a result output unit 102e, and a transmission unit 102f. The control unit 102 also performs data processing such as removal of data with missing values, removal of data with many outliers, and removal of variables with many missing values ​​for the index state information transmitted from the database device 400 and the blood data transmitted from the client device 200.

[0070] The acquiring unit 102a acquires information (specifically, blood data, index state information, formula, etc.). For example, the acquiring unit 102a may acquire information by receiving information (specifically, blood data, index state information, formula, etc.) transmitted from the client device 200 or the database device 400 via the network 300. The acquiring unit 102a may receive data used for evaluation transmitted from a client device 200 different from the client device 200 to which the evaluation result is transmitted. For example, when the evaluation device 100 includes a mechanism (including hardware and software) for reading information recorded on a recording medium, the acquiring unit 102a may acquire information by reading information (specifically, blood data, index state information, formula, etc.) recorded on the recording medium via the mechanism. The designating unit 102b designates the index data and blood data to be used for creating the formula.

[0071] The equation creation unit 102c creates an equation based on the index state information acquired by the acquisition unit 102a and the index state information designated by the designation unit 102b. When the equation is stored in advance in a predetermined storage area of ​​the storage unit 106, the equation creation unit 102c may create an equation by selecting a desired equation from the storage unit 106. The equation creation unit 102c may also create an equation by selecting a desired equation from another computer device (e.g., database device 400) that has equations stored in advance and downloading the equation.

[0072] The evaluation unit 102d evaluates the MCI state of the individual by calculating the value of the formula using a formula obtained in advance (for example, a formula created by the formula creation unit 102c or a formula acquired by the acquisition unit 102a) and the at least one value included in the blood data of the individual acquired by the acquisition unit 102a. The evaluation unit 102d may evaluate the MCI state of the individual by using at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items or a value after conversion of the at least one value (for example, a concentration deviation value) of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items.

[0073] Here, the configuration of the evaluation unit 102d will be described with reference to Fig. 11. Fig. 11 is a block diagram showing the configuration of the evaluation unit 102d, and conceptually shows only the parts of the configuration related to the present invention. The evaluation unit 102d further includes a calculation unit 102d1, a conversion unit 102d2, a generation unit 102d3, and a classification unit 102d4.

[0074] The calculation unit 102d1 calculates the value of the formula using a formula including at least one value of the concentration values ​​of the 22 types of amino acids and the 30 types of amino acid-related metabolites and the test values ​​of the 7 types of blood biochemistry test items, and a variable into which the at least one value is substituted. The evaluation unit 102d may store the value of the formula calculated by the calculation unit 102d1 in a predetermined storage area of ​​the evaluation result file 106e as the evaluation result.

[0075] The conversion unit 102d2 converts the value of the formula calculated by the calculation unit 102d1, for example, using the conversion method described above. The evaluation unit 102d may store the value converted by the conversion unit 102d2 as the evaluation result in a predetermined storage area of ​​the evaluation result file 106e. The conversion unit 102d2 may convert the at least one value included in the blood data, for example, using the conversion method described above.

[0076] The generating unit 102d3 generates position information on the position of a predetermined mark on a predetermined ruler that is visibly shown on a display device such as a monitor or a physical medium such as paper, using the value of the formula calculated by the calculating unit 102d1 or the value converted by the converting unit 102d2 (which may be a concentration value or an inspection value, or a value after conversion of the concentration value or the inspection value). Note that the evaluating unit 102d may store the position information generated by the generating unit 102d3 in a predetermined storage area of ​​the evaluation result file 106e as an evaluation result.

[0077] The classification unit 102d4 uses the value of the formula calculated by the calculation unit 102d1 or the value after conversion by the conversion unit 102d2 (which may be a concentration value or a test value, or the value after conversion of the concentration value or the test value), to classify the individual into one of a plurality of categories defined taking into consideration at least the degree of possibility of the individual suffering from MCI.

[0078] The result output unit 102e outputs to the output device 114 the processing results of each processing unit in the control unit 102 (including the evaluation result obtained by the evaluation unit 102d) and the like.

[0079] The transmitting unit 102f transmits the evaluation result to the client device 200 that transmitted the blood data of the individual, and transmits the formula created by the evaluation device 100 and the evaluation result to the database device 400. The transmitting unit 102f may transmit the evaluation result to a client device 200 different from the client device 200 that transmitted the data used for the evaluation.

[0080] Next, the configuration of client device 200 of this system will be described with reference to Fig. 12. Fig. 12 is a block diagram showing an example of the configuration of client device 200 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.

[0081] The client device 200 is composed of a control unit 210, a ROM 220, a HD (Hard Disk) 230, a RAM 240, an input device 250, an output device 260, an input / output IF 270, and a communication IF 280, and these units are communicably connected via any communication path. The client device 200 may be based on an information processing device (for example, a known information processing terminal such as a personal computer, a workstation, a home game device, an Internet TV, a PHS (Personal Handyphone System) terminal, a mobile terminal, a mobile communication terminal, a PDA (Personal Digital Assistant), etc.) to which peripheral devices such as a printer, a monitor, an image scanner, etc. are connected as necessary.

[0082] The input device 250 is a keyboard, a mouse, a microphone, etc. A monitor 261, which will be described later, also realizes a pointing device function in cooperation with a mouse. The output device 260 is an output means for outputting information received via the communication IF 280, and includes a monitor (including a home television) 261 and a printer 262. In addition, the output device 260 may be provided with a speaker, etc. The input / output IF 270 is connected to the input device 250 and the output device 260.

[0083] The communication IF 280 communicatively connects the client device 200 and the network 300 (or a communication device such as a router). In other words, the client device 200 is connected to the network 300 via a communication device such as a modem, a TA (Terminal Adapter), or a router and a telephone line, or via a dedicated line. This allows the client device 200 to access the evaluation device 100 in accordance with a predetermined communication protocol.

[0084] The control unit 210 includes a receiving unit 211 and a transmitting unit 212. The receiving unit 211 receives various information such as the evaluation result transmitted from the evaluation device 100 via the communication IF 280. The transmitting unit 212 transmits various information such as the blood data of an individual to the evaluation device 100 via the communication IF 280.

[0085] The control unit 210 may realize all or any part of the processing performed by the control unit with a CPU and a program that is interpreted and executed by the CPU. A computer program for giving instructions to the CPU in cooperation with the OS and performing various processing is recorded in the ROM 220 or the HD 230. The computer program is executed by being loaded into the RAM 240, and constitutes the control unit 210 in cooperation with the CPU. The computer program may also be recorded in an application program server connected to the client device 200 via any network, and the client device 200 may download all or any part of the computer program as necessary. Also, all or any part of the processing performed by the control unit 210 may be realized by hardware such as wired logic.

[0086] Here, the control unit 210 may include an evaluation unit 210a (including a calculation unit 210a1, a conversion unit 210a2, a generation unit 210a3, and a classification unit 210a4) having the same functions as those of the evaluation unit 102d included in the evaluation device 100. When the control unit 210 includes the evaluation unit 210a, the evaluation unit 210a may convert the value of the formula (which may be a concentration value or a test value) in the conversion unit 210a2, generate position information corresponding to the value of the formula or the converted value (which may be a concentration value or a test value, or a value after conversion of the concentration value or the test value) in the generation unit 210a3, or classify the individual into one of a plurality of categories using the value of the formula or the converted value (which may be a concentration value or a test value, or a value after conversion of the concentration value or the test value) in the classification unit 210a4, depending on information included in the evaluation result transmitted from the evaluation device 100.

[0087] Next, the network 300 of this system will be described with reference to Figures 3 and 4. The network 300 has a function of connecting the evaluation device 100, the client device 200, and the database device 400 so that they can communicate with each other, and is, for example, the Internet, an intranet, or a LAN (Local Area Network) (including both wired and wireless networks). In addition, network 300 may be a VAN (Value-Added Network), a personal computer communication network, a public telephone network (including both analog and digital), a leased line network (including both analog and digital), a CATV (Community Antenna TeleVision) network, a mobile circuit-switched network or a mobile packet-switched network (including the IMT (International Mobile Telecommunication) 2000 system, the GSM (registered trademark) (Global System for Mobile Communications) system, or the PDC (Personal Digital Cellular) / PDC-P system, etc.), a radio paging network, a local wireless network such as Bluetooth (registered trademark), a PHS network, or a satellite communication network (including CS (Communication Satellite), BS (Broadcasting Satellite), or ISDB (Integrated Services Digital Broadcasting), etc.).

[0088] Next, the configuration of the database device 400 of this system will be described with reference to Fig. 13. Fig. 13 is a block diagram showing an example of the configuration of the database device 400 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.

[0089] The database device 400 has a function of storing index state information used when creating an equation in the evaluation device 100 or the database device itself, an equation created in the evaluation device 100, an evaluation result in the evaluation device 100, etc. As shown in Fig. 13, the database device 400 is composed of a control unit 402 such as a CPU that controls the database device in an overall manner, a communication interface unit 404 that communicatively connects the database device to the network 300 via a communication device such as a router and a wired or wireless communication circuit such as a dedicated line, a storage unit 406 that stores various databases, tables, files (e.g., files for Web pages), etc., and an input / output interface unit 408 that connects to an input device 412 and an output device 414, and these units are communicatively connected via any communication path.

[0090] The memory unit 406 is a storage means, and may be, for example, a memory device such as a RAM or ROM, a fixed disk device such as a hard disk, a flexible disk, an optical disk, or the like. The memory unit 406 stores various programs and the like used for various processes. The communication interface unit 404 mediates communication between the database device 400 and the network 300 (or a communication device such as a router). That is, the communication interface unit 404 has a function of communicating data with other terminals via a communication line. The input / output interface unit 408 is connected to an input device 412 and an output device 414. Here, the output device 414 may be a monitor (including a home television), a speaker, or a printer. The input device 412 may be a keyboard, a mouse, a microphone, or a monitor that cooperates with a mouse to realize a pointing device function.

[0091] The control unit 402 has an internal memory for storing control programs such as an OS, programs defining various processing procedures, required data, etc., and executes various information processing based on these programs. As shown in the figure, the control unit 402 is roughly equipped with a transmission unit 402a and a reception unit 402b. The transmission unit 402a transmits various information such as index state information and equations to the evaluation device 100. The reception unit 402b receives various information such as equations and evaluation results transmitted from the evaluation device 100.

[0092] In this description, an example has been given in which the evaluation device 100 acquires blood data, calculates the value of a formula, classifies the individual into categories, and transmits the evaluation results, and the client device 200 receives the evaluation results. However, if the client device 200 is equipped with the evaluation unit 210a, it is sufficient for the evaluation device 100 to calculate the value of a formula. For example, the conversion of the value of a formula, the generation of position information, and the classification of the individual into categories may be appropriately shared between the evaluation device 100 and the client device 200. For example, when the client device 200 receives a value of an equation from the evaluation device 100, the evaluation unit 210a may convert the value of the equation in the conversion unit 210a2, generate position information corresponding to the value of the equation or the converted value in the generation unit 210a3, and classify the individual into one of a plurality of categories using the value of the equation or the converted value in the classification unit 210a4. Furthermore, when the client device 200 receives a converted value from the evaluation device 100, the evaluation unit 210a may generate position information corresponding to the converted value in the generation unit 210a3, or classify the individual into one of a plurality of categories using the converted value in the classification unit 210a4. In addition, when the client device 200 receives the value of the formula or the converted value and location information from the evaluation device 100, the evaluation unit 210a may classify the individual into one of a plurality of categories using the value of the formula or the converted value in the classification unit 210a4.

[0093] [2-3. Other embodiments] The evaluation device, calculation device, evaluation method, calculation program, recording medium, evaluation system, and terminal device according to the present invention may be embodied in various different embodiments within the scope of the technical idea described in the claims, in addition to the second embodiment described above.

[0094] Furthermore, among the processes described in the second embodiment, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods.

[0095] In addition, the processing procedures, control procedures, specific names, registered data for each process, information including parameters such as search conditions, screen examples, and database configurations shown in the above documents and drawings can be changed as desired unless otherwise specified.

[0096] Moreover, with regard to the evaluation device 100, the components shown in the figures are merely functional concepts, and the evaluation device 100 does not necessarily have to be physically configured as shown in the figures.

[0097] For example, the processing functions of the evaluation device 100, particularly the processing functions performed by the control unit 102, may be realized in whole or in part by a CPU and a program interpreted and executed by the CPU, or may be realized as hardware using wired logic. The program is recorded in a non-transient computer-readable recording medium including programmed instructions for causing an information processing device to execute the evaluation method or calculation method according to the present invention, and is mechanically read by the evaluation device 100 as necessary. That is, a computer program for giving instructions to the CPU in cooperation with the OS and performing various processes is recorded in the storage unit 106 such as a ROM or HDD (Hard Disk Drive). This computer program is executed by being loaded into a RAM, and constitutes a control unit in cooperation with the CPU.

[0098] In addition, this computer program may be stored in an application program server connected to the evaluation device 100 via any network, and it is also possible to download all or part of it as necessary.

[0099] The evaluation program or calculation program according to the present invention may be stored in a non-transitory computer-readable recording medium, or may be configured as a program product. Here, the term "recording medium" includes any "portable physical medium" such as a memory card, a Universal Serial Bus (USB) memory, a Secure Digital (SD) card, a flexible disk, a magneto-optical disk, a ROM, an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable and Programmable Read Only Memory (EEPROM) (registered trademark), a Compact Disc Read Only Memory (CD-ROM), a Magneto-Optical disk (MO), a Digital Versatile Disk (DVD), and a Blu-ray (registered trademark) Disc.

[0100] Moreover, a "program" is a data processing method written in any language or description method, and may be in any form, such as source code or binary code. Note that a "program" is not necessarily limited to a single configuration, but also includes a distributed configuration as multiple modules or libraries, and a program that works with a separate program, such as an OS, to achieve its function. Note that the specific configuration and reading procedure for reading a recording medium in each device shown in the embodiments, as well as the installation procedure after reading, may use well-known configurations and procedures.

[0101] The various databases etc. stored in the memory unit 106 are storage means such as memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and optical disks, and store various programs, tables, databases, and web page files etc. used for various processes and providing websites.

[0102] The evaluation device 100 may be configured as an information processing device such as a known personal computer or a workstation, or may be configured as the information processing device to which any peripheral device is connected. The evaluation device 100 may be realized by installing software (including a program or data) that realizes the evaluation method or calculation method of the present invention in the information processing device.

[0103] Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the drawings, and all or part of them can be functionally or physically distributed and integrated in any unit according to various additions or functional loads. In other words, the above-mentioned embodiments can be implemented in any combination, or the embodiments can be implemented selectively. EXAMPLES

[0104] Blood metabolite concentrations were measured using the amino acid analysis method (A) described above from plasma samples of MCI patients aged 65 years or older who had been definitively diagnosed with MCI (MCI group: 56 patients) and healthy elderly people aged 65 years or older who were considered to have normal cognitive function (healthy group: 73 patients).

[0105] The data listed below were used to evaluate the ability to distinguish between the MCI group and the healthy group. Plasma concentrations (nmol / ml) of 22 amino acids (aABA, Ala, Arg, Asn, Cit, Glu, Gln, Gly, His, Ile, Leu, Lys, Met, Orn, Phe, Pro, Ser, Thr, Trp, Tyr, Val, and Taurine) Plasma concentrations (nmol / ml) of 27 amino acid-related metabolites (1-MeHis, 3-MeHis, aAAA, aAiBA, ADMA, Allyl Cys, bABA, bAiBA, Cystathionine, Cysteic acid, EtGly, GABA, hArg, Hypotaurine, Hypro, Kyn, N6-AcLys, N8-AcSpd, Opthalmic acid, PEA, Pipecolic acid, Put, Sar, SDMA, Spd, Spm, and Thioproline) Peak area values ​​of four amino acid related metabolites (MeCys, Pyrazole-1-Ala, MCSO1 and MCSO2) 4 types of metabolite ratios (Kyn / Trp, Kyn / BCAA, MCSO2 / MeCys and MCSO1 / MCSO2) -BCAA plasma concentration (sum of plasma concentrations of Val, Leu and Ile) - Plasma concentration of EAA (the sum of the plasma concentrations of His, Ile, Leu, Lys, Met, Phe, Thr, Trp and Val)

[0106] MCSO1 and MCSO2 are defined as follows. Acetonitrile was added to pooled plasma collected from healthy subjects (32 individuals) to remove proteins, and then pre-column derivatization was performed using a labeling reagent (3-aminopyridyl-N-hydroxysuccinimidyl carbamate), followed by analysis using a liquid chromatography mass spectrometer (LC-MS / MS) under the following analytical conditions. Among the peaks detected in the obtained extracted ion chromatogram (Figure 14), the peaks at around 2.3 minutes and 2.5 minutes were designated MCSO1 and MCSO2, respectively. <Analysis conditions> (1) Liquid chromatograph mass spectrometer (LC-MS / MS): HPLC system "1290InfinityII" (Agilent), mass spectrometry system "6495B Triple Quad LC / MS" (Agilent) (2) Analytical column: "Inertcil ODS-3 (particle size: 2.0 μm, inner diameter: 2.1 mm, length: 150 mm)" (GL Sciences) (3) Column temperature: 50°C (4) Eluent A: APDS Amino Tag Wako Eluent (Wako Pure Chemical Industries, Ltd.) (5) Eluent B: acetonitrile / water (60:40, v / v) (6)Flow rate: 0.5mL / min (7) Mobile phase gradient conditions (time and ratio of eluent B): 0.00 min - 3.50 min: 6% 3.50 minutes - 5.00 minutes: 6% - 8% 5.00 minutes - 7.00 minutes: 8% - 20% 7.00 minutes - 8.50 minutes: 20% 8.50 minutes - 9.50 minutes: 20% - 25% 9.50 minutes to 12.00 minutes: 25% 12.00 min - 12.01 min: 25% - 35% 12.01 min - 14.00 min: 35% - 80% 14.00min~14.01min: 80%~95% 14.01 min - 16.00 min: 95% 16.00min~16.10min: 95%~6% 16.10 minutes to 19.00 minutes: 6% (8) Ionization method: Electrospray positive mode (9) Scan type: Selected reaction monitoring

[0107] A separate structural analysis was performed on MCSO1 and MCSO2. For structural determination, pooled plasma samples collected from healthy subjects (32 individuals) were deproteinized by adding acetonitrile, and the S-methylsysteine ​​sulfoxide standard substance (Santa Cruz Biotechnology, product number sc-204899) were pre-column derivatized using a labeling reagent (3-aminopyridyl-N-hydroxysuccinimidyl carbamate), and analyzed by liquid chromatography mass spectrometry (LC-MS / MS) under the following analytical conditions. The retention times of the peaks detected at around 1.7 and 1.8 minutes in the extracted ion chromatograms obtained were consistent between the plasma samples and the standard substance (Figure 15). Furthermore, the exact masses of the plasma and standard substance were consistent with the theoretical value (272.0700), and the structure of the peaks was determined to be S-methylsysteine ​​sulfoxide. Since S-methylcysteine ​​sulfoxide is a diastereomeric mixture (a mixture of (+)-S-Carboxymethyl-L-cysteine ​​(RS form) and (-)-S-Carboxymethyl-L-cysteine ​​(RR form)), two peaks are detected. The RS form is the one that exists most commonly in nature. <Analysis conditions> (1) Liquid chromatograph mass spectrometer (LC-MS / MS): HPLC system "UFLC System" (Shimadzu Corporation), mass spectrometry system "Q-ExactiveTMPlus" (Thermo Fisher Scientific) (2) Analytical column: Inertcil ODS-3 (particle size: 2.0 μm, inner diameter: 2.1 mm, length: 100 mm) (GL Sciences) (3) Column temperature: 50°C (4) Eluent A: APDS Amino Tag Wako Eluent (Wako Pure Chemical Industries, Ltd.) (5) Eluent B: acetonitrile / water (60:40, v / v) (6)Flow rate: 0.5mL / min (7) Mobile phase gradient conditions (time and ratio of eluent B): 0.00 minutes to 0.01 minutes: 5% to 6% 0.01 min - 3.50 min: 6% 3.50 minutes - 5.00 minutes: 6% - 8% 5.00 minutes to 6.00 minutes: 8% to 20% 6.00 minutes - 8.50 minutes: 20% 8.50 minutes - 9.50 minutes: 20% - 24% 9.50 minutes to 12.00 minutes: 24% 12.00 min - 12.01 min: 24% - 35% 12.01min~15.00min: 35%~80% 15.00min~15.10min: 80%~95% 15.10min~17.00min: 95% 17.01 min - 19.00 min: 5% (8) Ionization method: Electrospray positive mode (9) Scan type: Full scan mode

[0108] In a test (Mann-Whitney U test) for the blood concentrations of the healthy and MCI groups, where the null hypothesis was that the means of both groups were equal, the amino acids and amino acid-related metabolites that were significantly different (p<0.05) from the healthy group were taurine, Spd, PEA, MCSO2, Pyrazole-1-Ala, MeCys, MCSO2 / MeCys, Put, Lys, His, MCSO1 / MCSO2, hArg, Thr, Ala, EAA, Met, Hypotaurine, aABA, and Kyn / BCAA.

[0109] The results of logistic regression (ROC_AUC value) using each amino acid and each amino acid-related metabolite are shown in Figure 16. The amino acids and amino acid-related metabolites with ROC_AUC of 0.595 or more were Taurine, Spd, PEA, MCSO2, Pyrazole-1-Ala, MeCys, MCSO2 / MeCys, Put, Lys, His, MCSO1 / MCSO2, hArg, Thr, Ala, EAA, Met, Hypotaurine, aABA, Kyn / BCAA, Orn, and Kyn / Trp. Taurine, Spd, PEA, MCSO2, MeCys, MCSO2 / MeCys, Put, Lys, His, hArg, Thr, Ala, EAA, Met, Hypotaurine, aABA, and Orn decreased in the MCI group, while Pyrazole-1-Ala, MCSO1 / MCSO2, Kyn / BCAA, and Kyn / Trp increased in the MCI group. The concentrations of these metabolites are considered to be useful in evaluating the state of MCI, taking into account the healthy state. EXAMPLES

[0110] The sample data obtained in Example 1 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including variables into which metabolite concentrations in plasma are substituted, was determined.

[0111] A logistic regression equation was used as a multivariate discriminant. A combination of two variables to be included in the logistic regression equation was searched for from the plasma concentration values ​​of the 22 kinds of amino acids, the plasma concentration values ​​of the 27 kinds of amino acid-related metabolites, the peak area values ​​of the four kinds of amino acid-related metabolites, and the ratios of the four kinds of metabolites, as described in Example 1, to search for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0112] A list of logistic regression equations with two variables and ROC_AUC values ​​of 0.700 or more for the MCI group and healthy group is shown in [1.2 variable equations] below. These logistic regression equations are considered to be useful in the above evaluation because of their high ROC_AUC values. In addition, the following [1.2 variable equations] shows the variables and ROC_AUC values ​​included in each equation (same below). EXAMPLES

[0113] The sample data used was the same as that used in Example 1. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including variables into which the metabolite concentration values ​​in plasma were substituted, was determined.

[0114] A logistic regression equation was used as a multivariate discriminant. Similar to Example 2, a combination of three variables to be included in the logistic regression equation was searched from the plasma concentration values ​​of the 22 kinds of amino acids, the plasma concentration values ​​of the 27 kinds of amino acid related metabolites, the peak area values ​​of the four kinds of amino acid related metabolites, and the ratios of the four kinds of metabolites, and a search was performed for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0115] A list of logistic regression equations with three variables and ROC_AUC values ​​of 0.750 or more for the MCI group and healthy group is shown below in [2.3-variable equations]. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0116] The sample data used in Example 1 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including variables into which the plasma metabolite concentration values ​​and age were substituted, was determined.

[0117] A logistic regression equation was used as a multivariate discriminant. A combination of four variables to be included in the logistic regression equation was searched for based on the plasma concentration values ​​of the 22 amino acids, the plasma concentration values ​​of the 27 amino acid-related metabolites, the peak area values ​​of the four amino acid-related metabolites, the ratio of the four metabolites, and age, and a search was performed for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0118] Of the logistic regression equations obtained above, from among the equations in which the ROC_AUC values ​​for the MCI group and healthy group increased by incorporating age as a variable, the top 20 equations with an age variable are shown in Figure 17.

[0119] Of the 3485 logistic regression equations obtained above, the number of combinations in which the ROC_AUC value increased when the age variable was added to the 3485 equations shown in [2.3 variable equations] below was 3053. Since the ROC_AUC values ​​of the majority of logistic regression equations improved when the age variable was added, adding age as a variable is considered to be useful in the above evaluation. EXAMPLES

[0120] The sample data used was the same as that used in Example 1. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including variables into which the metabolite concentration values ​​in plasma were substituted, was determined.

[0121] A logistic regression equation was used as the multivariate discriminant. Combinations of six variables to be included in the logistic regression equation were searched for from the plasma concentration values ​​of the 22 amino acids, the plasma concentration values ​​of the 27 amino acid-related metabolites, the peak area values ​​of the four amino acid-related metabolites, and the metabolite ratios of the four types, and a search was performed for a logistic regression equation with good discrimination ability between the MCI group and the healthy group. In addition, in order to exclude combinations with many missing values, combinations of six variables in which the number of data that can be used for calculation was less than 70 in the MCI group and the healthy group combined were excluded from the search results.

[0122] Of the logistic regression equations obtained above, the occurrence frequencies of amino acid and amino acid-related metabolite variables included in 359,603 equations with ROC_AUC of 0.900 or more were calculated and are shown in Figure 18.

[0123] From this, it was shown that the occurrence frequencies of taurine, pyrazole-1-Ala, 1-MeHis, Spd, Kyn / BCAA, SDMA, Kyn, Kyn / Trp, 3-MeHis, and thioproline were high, at over 35,000 times. In particular, the occurrence frequencies of Spd and Kyn / BCAA were high, at over 40,000 times. Furthermore, it was shown that the occurrence frequencies of taurine, pyrazole-1-Ala, and 1-MeHis were high, at over 100,000 times.

[0124] Furthermore, the frequency of occurrence of combinations of two types of amino acids and amino acid-related metabolite variables was calculated and is shown in FIG.

[0125] This indicates that the frequency of occurrence of the combination of the following two amino acids and amino acid-related metabolite variables is high, at more than 10,000 times. Taurine,Pyrazole-1-Ala;Taurine,1-MeHis;Taurine,Spd;Taurine,Kyn / BCAA;Taurine,SDMA;Taurine,Kyn;Taurine,Kyn / Trp;Taurine,3-MeHis;Taurine,Cit;Taurine,Thioproline;Taurine,hArg;Taurine,GABA;Taurine,Put;Taurine,His;Taurine,Cystathionine;Taurine,Leu;Taurine,Ile;Taurine,MCSO1 / MCSO2;Taurine,Val;Asn,Taurine;Taurine,N8-AcSpd;Taurine,Tyr;Taurine,Lys;Taurine,aABA;Gln,Taurine;Ser,Taurine;Taurine,Trp;Taurine,Arg;Taurine,Hypro;Taurine,MCSO2;Taurine,ADMA;Taurine,Met;Taurine,bAiBA;Taurine,bABA;Taurine,Phe;Taurine,Ala;Gly,Taurine;Taurine,Orn;Taurine,Thr;Taurine,Pro;Taurine,MCSO1;Taurine,N6-AcLys;Taurine,MeCys;Glu,Taurine;1-MeHis,Pyrazole-1-Ala;Taurine,aAAA;1-MeHis,Spd;Pyrazole-1-Ala,Spd;Taurine,Hypotaurine;Taurine,MCSO2 / MeCys;Pyrazole-1-Ala,Thioproline;Lys,Pyrazole-1-Ala;1-MeHis,Kyn / BCAA;Pyrazole-1-Ala,hArg;Pyrazole-1-Ala,N8-AcSpd;Thr,Pyrazole-1-Ala;Pyrazole-1-Ala,GABA;His,Pyrazole-1-Ala;1-MeHis,SDMA;Pyrazole-1-Ala,Put;Ile,Pyrazole-1-Ala;Pyrazole-1-Ala,MCSO1 / MCSO2;1-MeHis,Kyn;1-MeHis,Kyn / Trp;Tyr,Pyrazole-1-Ala;Val,Pyrazole-1-Ala;Pyrazole-1-Ala,Cystathionine;Pyrazole-1-Ala,Kyn / Trp;aABA,Pyrazole-1-Ala;Pro,Pyrazole-1-Ala;Cit,Pyrazole-1-Ala;Pyrazole-1-Ala,MeCys;Pyrazole-1-Ala,Kyn;Gln,Pyrazole-1-Ala;Taurine,Opthalmic acid;Pyrazole-1-Ala,bAiBA;Pyrazole-1-Ala,MCSO2;Ser,Pyrazole-1-Ala;Pyrazole-1-Ala,Kyn / BCAA;Leu,Pyrazole-1-Ala;Pyrazole-1-Ala,SDMA;Taurine,Cysteic acid;Glu,Pyrazole-1-Ala;Pyrazole-1-Ala,bABA;Asn,Pyrazole-1-Ala;Arg,Pyrazole-1-Ala;Taurine,Pipecolic acid;Trp,Pyrazole-1-Ala;Phe,Pyrazole-1-Ala;Met,Pyrazole-1-Ala;Taurine,Sar;Pyrazole-1-Ala,Hypro;1-MeHis,3-MeHis;Gly,Pyrazole-1-Ala;Ala,Pyrazole-1-Ala;ADMA,Pyrazole-1-Ala;3-MeHis,Pyrazole-1-Ala;Orn,Pyrazole-1-Ala;Pyrazole-1-Ala,MCSO1;aAAA,Pyrazole-1-Ala;1-MeHis,Cit;1-MeHis,hArg;Pyrazole-1-Ala,Hypotaurine;Pyrazole-1-Ala,N6-AcLys;1-MeHis,His;Pyrazole-1-Ala,Cysteic acid;1-MeHis,MCSO2;1-MeHis,Put;1-MeHis,GABA;Pyrazole-1-Ala,Sar;Pyrazole-1-Ala,Pipecolic acid;1-MeHis,N8-AcSpd;1-MeHis,Cystathionine;Lys,1-MeHis;1-MeHis,N6-AcLys;1-MeHis,MCSO2 / MeCys;1-MeHis,Thioproline;Pyrazole-1-Ala,MCSO2 / MeCys;1-MeHis,MCSO1 / MCSO2;Leu,1-MeHis;Asn,1-MeHis;1-MeHis,ADMA;1-MeHis,Ile; Tyr,1-MeHis;1-MeHis,Hypro;1-MeHis,Val;Gln,1-MeHis;1-MeHis,Trp;Arg,1-MeHis;aABA,1-MeHis;Ser,1-MeHis;1-MeHis,Met;1-MeHis,bAiBA;Phe,1-MeHis;

[0126] In particular, the frequency of the combination of the following two amino acids and amino acid-related metabolite variables was shown to be high, occurring more than 20,000 times. Taurine,Kyn / BCAA;Taurine,SDMA;Taurine,Kyn;Taurine,Kyn / Trp;Taurine,3-MeHis;Taurine,Cit;Taurine,Thioproline;Taurine,hArg;Taurine,GABA;Taurine,Put;Taurine,His;Taurine,C ystathionine;Taurine,Leu;Taurine,Ile;Taurine,MCSO1 / MCSO2;Taurine,Val;Asn,Taurine;Taurine,N8-AcSpd;Taurine,Tyr;Taurine,Lys;Taurine,aABA;Gln,Taurine;Ser,Taurine;Taurine ,Trp;Taurine,Arg;Taurine,Hypro;Taurine,MCSO2;Taurine,ADMA;Taurine,Met;Taurine,bAiBA;Taurine,bABA;Taurine,Phe;Taurine,Ala;Gly,Taurine;Taurine,Orn;Taurine,Thr;Taurine,P ro;Taurine,MCSO1;Taurine,N6-AcLys;Taurine,MeCys;Glu,Taurine;1-MeHis,Pyrazole-1-Ala;Taurine,aAAA;1-MeHis,Spd;Pyrazole-1-Ala,Spd;Taurine,Hypotaurine;Taurine,MCSO2 / MeCys

[0127] Furthermore, it was shown that the frequency of occurrence of the combination of taurine and pyrazole-1-Ala, the frequency of occurrence of the combination of taurine and 1-MeHis, and the frequency of occurrence of the combination of taurine and Spd were high, at more than 60,000 times. EXAMPLES

[0128] Blood albumin concentrations were measured using the modified BCP method from serum samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 120 people).

[0129] When the serum albumin concentration (g / dL) data was used to evaluate the ability to distinguish between the MCI group and the healthy group using ROC_AUC, the ROC_AUC value was 0.615. Albumin concentration values ​​are considered to be useful in assessing the state of MCI while taking into account the state of the healthy individual. EXAMPLES

[0130] Plasma and serum samples were used from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and from healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 120 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, and blood albumin concentrations were measured from the serum samples using the improved BCP method.

[0131] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, including variables into which serum albumin concentration values ​​are substituted and variables into which plasma amino acid concentration values ​​are substituted.

[0132] A logistic regression equation was used as a multivariate discriminant. A combination of two variables to be included in the logistic regression equation (albumin variable (Alb) was essential) was searched for from the serum albumin concentration value (g / dL) and the plasma concentration values ​​(nmol / ml) of 19 amino acids (Ala, Arg, Asn, Cit, Gln, Gly, His, Ile, Leu, Lys, Met, Orn, Phe, Pro, Ser, Thr, Trp, Tyr, Val), and a search was conducted for a logistic regression equation with good discrimination ability between MCI and healthy groups.

[0133] A list of logistic regression equations with two variables and with ROC_AUC values ​​of 0.615 or more for the MCI group and the healthy group as described in Example 6 is shown in Figure 20. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0134] The sample data used in Example 7 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including a variable into which the albumin concentration value in serum is substituted and a variable into which the amino acid concentration value in plasma is substituted, was determined.

[0135] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (albumin variable is essential) to be included in the logistic regression equation was searched from the serum albumin concentration value and the plasma concentration values ​​of the above 19 kinds of amino acids in the same manner as in Example 7, and a search was carried out for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0136] A list of logistic regression equations with three variables and ROC_AUC values ​​for the MCI group and healthy group of 0.648 or more as shown in Figure 20 is shown in Figure 21. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0137] The sample data used in Example 7 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group, including a variable into which the albumin concentration value in serum is substituted and a variable into which the amino acid concentration value in plasma is substituted, was determined.

[0138] A logistic regression equation was used as a multivariate discriminant. A combination of six variables (albumin variable is essential) to be included in the logistic regression equation was searched from the serum albumin concentration value and the plasma concentration values ​​of the above 19 kinds of amino acids in the same manner as in Example 7, and a search was carried out for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0139] The logistic regression equation obtained above (11,628 combinations (= 19 Among these, the frequency of occurrence of amino acid variables included in 135 formulas with ROC_AUC of 0.70 or more was calculated and is shown in FIG. 22.

[0140] This shows that the frequency of occurrence of Trp, Pro, Lys, Met, Cit, Ser, and Gly is high, at more than 20 times. In particular, the frequency of occurrence of Met and Cit was high, at more than 30 times. Furthermore, the frequency of occurrence of Trp, Pro, and Lys was high, at more than 100 times.

[0141] Furthermore, the occurrence frequency of combinations of two amino acid variables contained in the above 135 formulas was calculated and is shown in FIG.

[0142] This shows that the frequency of occurrence of the combination of the following two amino acid variables is high, at more than 10 times. Pro,Trp;Lys,Trp;Pro,Lys;Met,Trp;Pro,Met;Cit,Trp;Cit,Pro;Ser,Trp;Ser,Lys;Gly,Trp;Gly,Lys;Met,Lys;H is,Trp;Arg,Trp;Ser,Pro;Asn,Trp;Gly,Pro;His,Pro;His,Lys;Thr,Trp;Cit,Met;Cit,Lys;Arg,Pro;Pro,Ile;Pro ,Leu;Pro,Phe;Tyr,Trp;Ile,Trp;Leu,Trp;Phe,Trp;Asn,Pro;Asn,Lys;Thr,Pro;Thr,Lys;Ala,Pro;Ala,Trp;Arg,L ys;Pro,Tyr;Pro,Val;Pro,Orn;Tyr,Lys;Val,Trp;Orn,Trp;Lys,Phe;Ala,Lys;Val,Lys;Orn,Lys;Lys,Ile;Lys,Leu

[0143] In particular, it was shown that the frequency of the combination of the following two amino acid variables was high, occurring more than 20 times. Met,Trp;Pro,Met;Cit,Trp;Cit,Pro;Ser,Trp;Ser,Lys;Gly,Trp;Gly,Lys

[0144] Furthermore, it was shown that the frequency of the combination of Pro and Trp, the frequency of the combination of Lys and Trp, and the frequency of the combination of Pro and Lys were high, at more than 100 times.

[0145] In addition, the variables and ROC_AUC values ​​of the top 100 equations in terms of ROC_AUC among the logistic regression equations obtained above (11,628 equations) are shown below. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. Alb, Ser, Cit, Pro, Met, Trp, 0.717; Alb, Cit, Pro, Met, Lys, Trp, 0.716; Alb, Arg, Pro, Met, Lys, Trp, 0.712; Alb, His, Cit, Pro, Met, Trp, 0.710; Alb, Cit, Pro, Met, Phe, Trp, 0.710; Alb, Cit, Pro, Met, Leu, Trp, 0.710; Alb, Ser, Gly, Pro, Lys, Trp, 0.709; Alb, Cit, Pro, Met, Orn, Trp, 0.709; Alb, Cit, Pro, Lys, Phe, Trp, 0.709; Alb, Cit, Pro, Val, Met, Trp, 0.709; Alb, Cit, Arg, Pro, Met, Trp, 0.708; Alb, Asn, Cit, Pro, Met, Trp, 0.708; Alb, Gly, Cit, Pro, Met, Trp, 0.708; Alb, Thr, Cit, Pro, Met, Trp, 0.708; Alb, Cit, Pro, Met, Ile, Trp, 0.708; Alb, Ser, Pro, Met, Lys, Trp, 0.708; Alb, Gln, Cit, Pro, Met, Trp, 0.708; Alb, Ala, Cit, Pro, Met, Trp, 0.708; Alb, Cit, Pro, Tyr, Met, Trp, 0.708; Alb, Pro, Met, Orn, Lys, Trp, 0.707; Alb, His, Cit, Pro, Lys, Trp, 0.707; Alb, Thr, Cit, Pro, Lys, Trp, 0.707; Alb, Gln, Pro, Met, Lys, Trp, 0.706; Alb, Gly, Pro, Lys, Phe, Trp, 0.705; Alb, Pro, Tyr, Met, Lys, Trp, 0.705; Alb, Pro, Met, Lys, Ile, Trp, 0.705; Alb, Ser, Asn, Gly, Lys, Trp, 0.705; Alb, Ser, Asn, Pro, Lys, Trp, 0.705; Alb, Pro, Met, Lys, Leu, Trp, 0.705; Alb, Gly, Arg, Pro, Lys, Trp, 0.705; Alb, Gly, Pro, Met, Lys, Trp, 0.705; Alb, Cit, Pro, Lys, Leu, Trp, 0.705; Alb, Gly, Cit, Pro, Lys, Trp, 0.705; Alb, Thr, Pro, Met, Lys, Trp, 0.705; Alb, Cit, Pro, Tyr, Lys, Trp, 0.705; Alb, Pro, Lys, Ile, Leu, Trp, 0.705; Alb, Pro, Val, Met, Lys, Trp, 0.705; Alb, Ser, Gly, Thr, Lys, Trp, 0.705; Alb, Pro, Lys, Ile, Phe, Trp, 0.705; Alb, Ala, Cit, Pro, Lys, Trp, 0.704; Alb, Ala, Pro, Met, Lys, Trp, 0.704; Alb, Ser, His, Pro, Lys, Trp, 0.704; Alb, Asn, Cit, Pro, Lys, Trp, 0.704; Alb, Gly, Pro, Orn, Lys, Trp, 0.704; Alb, Cit, Arg, Pro, Lys, Trp, 0.704; Alb, Ser, Cit, Met, Lys, Trp, 0.704; Alb, Thr, Arg, Pro, Lys, Trp, 0.704; Alb, Cit, Pro, Orn, Lys, Trp, 0.704; Alb, His, Pro, Val, Lys, Trp, 0.704; Alb, Ser, Arg, Pro, Lys, Trp, 0.704; Alb, His, Pro, Lys, Leu, Trp, 0.704; Alb, Ala, Pro, Orn, Lys, Trp, 0.704; Alb, Ser, Pro, Lys, Phe, Trp, 0.704; Alb, Cit, Pro, Lys, Ile, Trp, 0.704; Alb, His, Thr, Pro, Lys, Trp, 0.704; Alb, Thr, Pro, Lys, Ile, Trp, 0.704; Alb, Pro, Val, Orn, Lys, Trp, 0.704; Alb, Pro, Orn, Lys, Ile, Trp, 0.704; Alb, Pro, Orn, Lys, Phe, Trp, 0.704; Alb, Ser, Cit, Pro, Lys, Trp, 0.704; Alb, Cit, Pro, Val, Lys, Trp, 0.704; Alb, Pro, Orn, Lys, Leu, Trp, 0.704; Alb, His, Pro, Met, Lys, Trp, 0.704; Alb, His, Pro, Orn, Lys, Trp, 0.704; Alb, Thr, Pro, Tyr, Lys, Trp, 0.704; Alb, Pro, Met, Lys, Phe, Trp, 0.703; Alb, Gly, His, Pro, Lys, Trp, 0.703; Alb, Gln, Thr, Pro, Lys, Trp, 0.703; Alb, His, Pro, Lys, Ile, Trp, 0.703; Alb, Thr, Pro, Val, Lys, Trp, 0.703; Alb, Ala, Pro, Lys, Ile, Trp, 0.703; Alb, Gly, Pro, Lys, Ile, Trp, 0.703; Alb, Ser, Pro, Orn, Lys, Trp, 0.703; Alb, Asn, Pro, Orn, Lys, Trp, 0.703; Alb, His, Ala, Pro, Lys, Trp, 0.703; Alb, Arg, Pro, Lys, Phe, Trp, 0.703; Alb, Gly, Pro, Lys, Leu, Trp, 0.703; Alb, Asn, Arg, Pro, Lys, Trp, 0.703; Alb, Gly, Thr, Pro, Lys, Trp, 0.703; Alb, His, Pro, Tyr, Lys, Trp, 0.703; Alb, Thr, Pro, Orn, Lys, Trp, 0.703; Alb, Ser, Ala, Pro, Lys, Trp, 0.703; Alb, Ser, Pro, Lys, Ile, Trp, 0.703; Alb, Pro, Tyr, Lys, Phe, Trp, 0.703; Alb, Thr, Ala, Pro, Lys, Trp, 0.703; Alb, Thr, Pro, Lys, Phe, Trp, 0.703; Alb, Asn, Pro, Met, Lys, Trp, 0.702; Alb, Pro, Val, Lys, Phe, Trp, 0.702; Alb, His, Pro, Lys, Phe, Trp, 0.702; Alb, Ala, Pro, Tyr, Lys, Trp, 0.702; Alb, Pro, Lys, Leu, Phe, Trp, 0.702; Alb, Ser, Thr, Pro, Lys, Trp, 0.702; Alb, Arg, Pro, Orn, Lys, Trp, 0.702; Alb, Ser, Gly, Met, Lys, Trp, 0.702; Alb, Ser, Arg, Pro, Met, Trp, 0.702; Alb, Ser, Pro, Val, Lys, Trp, 0.702; Alb, Gln, Cit, Pro, Lys, Trp, 0.702; Alb, Ser, Gly, His, Lys, Trp, 0.702; Alb, Gly, Pro, Tyr, Lys, Trp, 0.702; Alb, Gly, Pro, Val, Lys, Trp, 0.702;. EXAMPLES

[0146] Serum folate concentrations were measured using the CLEIA method from serum samples of MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 147 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 38 people).

[0147] When the discrimination ability between the MCI group and the healthy group was evaluated using the serum folic acid concentration (ng / mL) data using the ROC_AUC, the ROC_AUC value was 0.679. The folic acid concentration value is considered to be useful in evaluating the MCI state while taking into account the healthy state. EXAMPLES

[0148] Plasma and serum samples were used from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 147 people) and from healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 38 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, blood folate concentrations were measured from the serum samples using the CLEIA method, and blood albumin concentrations were measured from the serum samples using the improved BCP method.

[0149] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, which included variables into which serum folate concentration values ​​were substituted and variables into which serum albumin concentration values ​​or plasma amino acid concentration values ​​were substituted.

[0150] A logistic regression equation was used as the multivariate discriminant. A combination of two variables to be included in the logistic regression equation (the folate variable (Folate) was essential) was searched for using the serum folate concentration value (ng / mL), serum albumin concentration value (g / dL), and plasma concentration values ​​(nmol / ml) of the above 19 amino acids, and a search was conducted for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0151] A list of logistic regression equations with two variables and with ROC_AUC values ​​of 0.679 or more for the MCI group and the healthy group as described in Example 10 is shown in Figure 24. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0152] The sample data used in Example 11 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the serum folic acid concentration value is substituted and a variable into which the serum albumin concentration value or the plasma amino acid concentration value is substituted.

[0153] A logistic regression equation was used as a multivariate discriminant. Similar to Example 11, a combination of three variables (including the folic acid variable) was searched for from the serum concentration values ​​of folic acid, the serum concentration values ​​of albumin, and the plasma concentration values ​​of the above 19 kinds of amino acids, and a search was performed for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0154] A list of logistic regression equations with three variables and ROC_AUC values ​​of the MCI group and healthy group of 0.712 or more as shown in Figure 24 is shown in Figure 25. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0155] The sample data used was the same as that used in Example 11. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the serum folic acid concentration value is substituted and a variable into which the serum albumin concentration value or the plasma amino acid concentration value is substituted.

[0156] A logistic regression equation was used as a multivariate discriminant. A combination of six variables (including the folic acid variable) to be included in the logistic regression equation was searched for from the serum concentration values ​​of folic acid, albumin, and the plasma concentration values ​​of the above 19 kinds of amino acids, in the same manner as in Example 11, and a search was carried out for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0157] The logistic regression equation obtained above (15,504 combinations (= 20 Among C5), the occurrence frequency of amino acid and albumin variables included in 588 formulas with ROC_AUC of 0.75 or more was calculated and shown in Figure 26.

[0158] This shows that the occurrence frequencies of Alb, Tyr, Thr, Orn, Phe, Met, Gly, Ala, and Asn are high, at over 100 times. In particular, the occurrence frequencies of Thr, Orn, and Phe are high, at over 200 times. Furthermore, the occurrence frequencies of Alb and Tyr are high, at over 100 times.

[0159] Furthermore, the occurrence frequency of combinations of two types of amino acid and albumin variables contained in the above 588 formulas was calculated and is shown in FIG.

[0160] This shows that the frequency of the combination of the following two amino acids and albumin variables is high, occurring more than 40 times. Alb,Tyr;Thr,Tyr;Alb,Orn;Tyr,Orn;Alb,Thr;Alb,Phe;Alb,Met;Tyr,Met;Thr,Phe;Alb,Gly;Orn,Phe;Tyr,Phe;Thr,O rn;Asn,Tyr;Alb,Ala;Alb,Ser;Alb,Val;Tyr,Ala;Alb,Trp;Gly,Phe;Cit,Tyr;Ser,Tyr;Tyr,Trp;Alb,Gln;Asn,Thr;Gly ,Tyr;Alb,Asn;Gln,Tyr;Alb,Leu;Tyr,Val;Arg,Tyr;Alb,His;Tyr,Leu;Alb,Ile;Thr,Ala;Alb,Lys;Ala,Phe;Met,Phe;A lb,Cit;Tyr,Ile;Alb,Arg;Thr,Cit;Alb,Pro;Asn,Orn;Gly,Orn;Tyr,Lys;Gly,Thr;Ser,Thr;His,Tyr;Tyr,Pro;Thr,Arg

[0161] In particular, the frequency of the combination of the following two amino acids and albumin variables was shown to be high, occurring more than 100 times. Tyr,Orn;Alb,Thr;Alb,Phe;Alb,Met;Tyr,Met;Thr,Phe;Alb,Gly

[0162] Furthermore, it was shown that the frequencies of the combinations of Alb and Tyr, Thr and Tyr, and Alb and Orn were high, occurring more than 200 times.

[0163] In addition, the variables and ROC_AUC values ​​of the top 100 equations in terms of ROC_AUC among the logistic regression equations obtained above (15,504 equations) are shown below. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. folate, Alb, Thr, Tyr, Orn, Phe, 0.779; folate, Alb, Asn, Thr, Tyr, Orn, 0.774; folate, Alb, Thr, Cit, Tyr, Orn, 0.774; folate, Alb, Gly, Thr, Tyr, Orn, 0.774; folate, Alb, Thr, Ala, Tyr, Orn, 0.772; folate, Alb, Asn, Tyr, Met, Orn, 0.772; folate, Alb, Ser, Thr, Tyr, Orn, 0.772; folate, Alb, Thr, Tyr, Orn, Lys, 0.771; folate, Alb, Thr, Pro, Tyr, Orn, 0.771; folate, Alb, Gln, Thr, Tyr, Orn, 0.771; folate, Alb, Ala, Tyr, Met, Orn, 0.771; folate, Alb, Cit, Tyr, Met, Orn, 0.771; folate, Alb, Thr, Tyr, Met, Orn, 0.771; folate, Alb, Ser, Ala, Tyr, Orn, 0.770; folate, Alb, Thr, Tyr, Orn, Ile, 0.770; folate, Alb, Thr, Arg, Tyr, Orn, 0.770; folate, Asn, Thr, Cit, Tyr, Orn, 0.770; folate, Alb, Thr, Tyr, Orn, Trp, 0.769; folate, Alb, Gly, Tyr, Met, Orn, 0.769; folate, Alb, Tyr, Met, Orn, Phe, 0.769; folate, Alb, Gly, Thr, Orn, Phe, 0.769; folate, Alb, Tyr, Met, Orn, Ile, 0.769; folate, Alb, Ser, Tyr, Met, Orn, 0.769; folate, Alb, Tyr, Val, Met, Orn, 0.768; folate, Alb, Thr, Tyr, Orn, Leu, 0.767; folate, Alb, Thr, Tyr, Val, Orn, 0.767; folate, Alb, Tyr, Met, Orn, Lys, 0.767; folate, Alb, Gly, Thr, Tyr, Phe, 0.767; folate, Alb, Thr, Tyr, Met, Phe, 0.766; folate, Thr, Cit, Tyr, Orn, Phe, 0.766; folate, Alb, Tyr, Met, Orn, Leu, 0.766; folate, Alb, His, Tyr, Met, Orn, 0.766; folate, Alb, Pro, Tyr, Met, Orn, 0.766; folate, Alb, Gln, Tyr, Met, Orn, 0.766; folate, Alb, His, Thr, Tyr, Orn, 0.766; folate, Alb, Gly, Tyr, Val, Orn, 0.765; folate, Alb, Gly, Val, Orn, Phe, 0.765; folate, Alb, Asn, Gly, Thr, Tyr, 0.765; folate, Alb, Arg, Tyr, Met, Orn, 0.765; folate, Alb, Gln, Thr, Tyr, Phe, 0.764; folate, Alb, Asn, Thr, Tyr, Met, 0.764; folate, Alb, Gly, Tyr, Orn, Leu, 0.764; folate, Alb, Gln, Ala, Tyr, Orn, 0.764; folate, Alb, Ala, Pro, Tyr, Orn, 0.764; folate, Alb, Asn, Gln, Thr, Tyr, 0.764; folate, Alb, Gly, Ala, Tyr, Orn, 0.764; folate, Alb, Gly, Orn, Leu, Phe, 0.764; folate, Alb, Ser, Thr, Orn, Phe, 0.764; folate, Thr, Arg, Tyr, Orn, Phe, 0.764; folate, Alb, Ser, Gln, Tyr, Orn, 0.764; folate, Alb, Thr, Ala, Tyr, Trp, 0.764; folate, Alb, Ser, Tyr, Val, Orn, 0.763; folate, Alb, Gly, Tyr, Orn, Lys, 0.763; folate, Alb, Gly, Cit, Tyr, Orn, 0.763; folate, Alb, Ala, Cit, Tyr, Orn, 0.763; folate, Alb, Asn, Thr, Tyr, Trp, 0.763; folate, Alb, Thr, Tyr, Leu, Phe, 0.763; folate, Alb, Ala, Tyr, Val, Orn, 0.763; folate, Alb, Ala, Tyr, Orn, Ile, 0.763; folate, Ser, Asn, Thr, Tyr, Orn, 0.763; folate, Asn, Thr, Tyr, Orn, Phe, 0.763; folate, Alb, Ala, Tyr, Orn, Lys, 0.762; folate, Alb, Ser, Gly, Tyr, Orn, 0.762; folate, Alb, Gly, Ala, Orn, Phe, 0.762; folate, Alb, Thr, Tyr, Met, Trp, 0.762; folate, Alb, Ala, Arg, Tyr, Orn, 0.762; folate, Alb, Ser, Asn, Tyr, Orn, 0.762; folate, Alb, Gly, Met, Orn, Phe, 0.762; folate, Alb, Ala, Tyr, Orn, Leu, 0.762; folate, Alb, Asn, Thr, Tyr, Phe, 0.762; folate, Alb, Gly, Tyr, Orn, Phe, 0.762; folate, Alb, Ser, Thr, Tyr, Phe, 0.762; folate, Alb, Ser, Tyr, Orn, Leu, 0.762; folate, Alb, Gly, His, Orn, Phe, 0.762; folate, Alb, Gly, Thr, Arg, Tyr, 0.762; folate, Alb, Gln, Pro, Tyr, Orn, 0.762; folate, Alb, Thr, Cit, Tyr, Phe, 0.762; folate, Alb, Thr, Tyr, Val, Trp, 0.762; folate, Alb, Ser, Tyr, Orn, Lys, 0.761; folate, Alb, Ser, Tyr, Orn, Phe, 0.761; folate, Alb, Asn, Tyr, Met, Phe, 0.761; folate, Alb, Gly, Thr, Leu, Phe, 0.761; folate, Alb, Thr, Ala, Tyr, Phe, 0.761; folate, Alb, Thr, Tyr, Leu, Trp, 0.761; folate, Alb, Ala, Tyr, Orn, Phe, 0.761; folate, Alb, Gly, Thr, Val, Phe, 0.761; folate, Alb, His, Ala, Tyr, Orn, 0.761; folate, Alb, Thr, Tyr, Ile, Trp, 0.761; folate, Alb, Ser, Cit, Tyr, Orn, 0.761; folate, Alb, Asn, Thr, Orn, Phe, 0.761; folate, Alb, His, Tyr, Orn, Phe, 0.761; folate, Alb, Gly, Tyr, Orn, Ile, 0.761; folate, Alb, Thr, Ala, Orn, Phe, 0.761; folate, Alb, Thr, Cit, Orn, Phe, 0.761; folate, Alb, Asn, Gly, Orn, Phe, 0.761; folate, Alb, Gln, Tyr, Val, Orn, 0.761; folate, Alb, Thr, Tyr, Lys, Phe, 0.761; folate, Alb, Gly, Gln, Thr, Tyr, 0.761; folate, Alb, Gly, Gln, Tyr, Orn, 0.761; folate, Alb, Gln, Thr, Cit, Tyr, 0.761. EXAMPLES

[0164] The number of white blood cells in the blood was measured using flow cytometry with a semiconductor laser from whole blood samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 87 people).

[0165] When the discriminatory ability between the MCI group and the healthy group was evaluated using the data on the white blood cell count ( / μL) in whole blood by ROC_AUC, the ROC_AUC value was 0.580. The white blood cell count is considered to be useful in evaluating the state of MCI while taking into account the state of the healthy. EXAMPLES

[0166] Plasma samples, whole blood samples, and serum samples were used from MCI patients aged 60 years or older who were definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 87 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, blood white blood cell counts from the whole blood samples using flow cytometry using a semiconductor laser, and blood albumin concentrations from the serum samples using the improved BCP method.

[0167] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, including variables into which the white blood cell count in whole blood is substituted and variables into which the albumin concentration value in serum or the amino acid concentration value in plasma is substituted.

[0168] A logistic regression equation was used as the multivariate discriminant. A combination of two variables to be included in the logistic regression equation (blood white blood cell count variable (WBC) was required) was searched for from blood white blood cell count ( / μL), serum albumin concentration (g / dL), and plasma concentration values ​​(nmol / ml) of the above 19 amino acids, and a search was conducted for a logistic regression equation with good discrimination ability between MCI and healthy groups.

[0169] A list of logistic regression equations with two variables and ROC_AUC values ​​of the MCI group and the healthy group of 0.580 or more as described in Example 14 is shown in Figure 28. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0170] The sample data used was the same as that used in Example 15. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the white blood cell count in the whole blood is substituted and a variable into which the albumin concentration value in the serum or the amino acid concentration value in the plasma is substituted.

[0171] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (blood white blood cell count variable is essential) to be included in the logistic regression equation was searched from the white blood cell count in whole blood, the serum concentration value of albumin, and the plasma concentration values ​​of the above 19 kinds of amino acids, in the same manner as in Example 15, to search for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0172] A list of logistic regression equations with three variables and ROC_AUC values ​​of the MCI group and healthy group of 0.635 or more as shown in Figure 28 is shown in Figure 29. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0173] The number of red blood cells in blood was measured using a sheath flow direct current detection method from whole blood samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 87 people).

[0174] Red blood cell count in whole blood (×10 4When the discriminatory ability between the MCI group and the healthy group was evaluated using the data of red blood cell count (μL), the ROC_AUC value was 0.562. It is believed that the blood red blood cell count is useful for evaluating the state of MCI while taking into account the state of health. EXAMPLES

[0175] Plasma samples, whole blood samples, and serum samples were used from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 87 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, blood red blood cell counts from whole blood samples using a sheath flow direct current detection method, and blood albumin concentrations from serum samples using the improved BCP method.

[0176] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, which included variables into which the number of red blood cells in whole blood was substituted and variables into which the albumin concentration value in serum or the amino acid concentration value in plasma was substituted.

[0177] A logistic regression equation was used as a multivariate discriminant. The combination of two variables to be included in the logistic regression equation (the variable of blood red blood cell count (RBC) is essential) was determined by dividing the combination by the blood red blood cell count (×10 4 We searched for a logistic regression equation that would have good discriminatory ability between the MCI group and the healthy group, using the serum concentration of albumin (g / dL) and the plasma concentration of the above 19 amino acids (nmol / ml).

[0178] A list of logistic regression equations with two variables and ROC_AUC values ​​of the MCI group and the healthy group of 0.562 or more as described in Example 17 is shown in Figure 30. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0179] The sample data used in Example 18 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the number of red blood cells in whole blood is substituted and a variable into which the albumin concentration value in serum or the amino acid concentration value in plasma is substituted.

[0180] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (blood red blood cell count variable is essential) to be included in the logistic regression equation was searched from the whole blood red blood cell count, serum albumin concentration value, and plasma concentration value of the above 19 kinds of amino acids, in the same manner as in Example 18, to search for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0181] A list of logistic regression equations with three variables and ROC_AUC values ​​of the MCI group and healthy group of 0.639 or more as shown in Figure 30 is shown in Figure 31. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0182] The hemoglobin content was measured using the SLS-hemoglobin method from whole blood samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 87 people).

[0183] When the discriminatory ability between the MCI group and the healthy group was evaluated using the data on hemoglobin levels (g / dL) in whole blood, the ROC_AUC value was 0.513. Hemoglobin levels are considered to be useful in assessing the state of MCI while taking into account the state of health. EXAMPLES

[0184] Plasma samples, whole blood samples, and serum samples were used from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 87 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, hemoglobin levels from the whole blood samples using the SLS-hemoglobin method, and blood albumin concentrations from the serum samples using the improved BCP method.

[0185] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, including a variable into which the amount of hemoglobin in whole blood is substituted and a variable into which the albumin concentration in serum or the amino acid concentration in plasma is substituted.

[0186] A logistic regression equation was used as the multivariate discriminant. A combination of two variables to be included in the logistic regression equation (hemoglobin variable (Hb) was essential) was explored from hemoglobin (g / dL), serum albumin concentration (g / dL), and plasma concentration values ​​(nmol / ml) of the above 19 amino acids, and a search was conducted for a logistic regression equation with good discrimination ability between MCI and healthy groups.

[0187] A list of logistic regression equations with two variables and with ROC_AUC values ​​of 0.513 or more for the MCI group and the healthy group as described in Example 20 is shown in Figure 32. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0188] The sample data used was the same as that used in Example 21. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the amount of hemoglobin in whole blood is substituted and a variable into which the albumin concentration value in serum or the amino acid concentration value in plasma is substituted.

[0189] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (hemoglobin amount variable is essential) to be included in the logistic regression equation was searched from the hemoglobin amount in whole blood, the serum concentration value of albumin, and the plasma concentration values ​​of the above 19 kinds of amino acids, in the same manner as in Example 21, and a search was performed for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0190] A list of logistic regression equations with three variables and with ROC_AUC values ​​of 0.635 or more for the MCI group and healthy group shown in Figure 32 is shown in Figure 33. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0191] Hematocrit values ​​were measured using red blood cell pulse height detection methods from whole blood samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 87 people).

[0192] When the discriminatory ability between the MCI group and the healthy group was evaluated using the hematocrit value (%) data in whole blood by ROC_AUC, the ROC_AUC value was 0.555. The hematocrit value is considered to be useful in evaluating the state of MCI while taking into account the state of the healthy. EXAMPLES

[0193] Plasma samples, whole blood samples, and serum samples were used from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 87 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, hematocrit values ​​from the whole blood samples using the red blood cell pulse height detection method, and blood albumin concentrations from the serum samples using the improved BCP method.

[0194] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, including variables substituted with hematocrit values ​​in whole blood and variables substituted with albumin concentration values ​​in serum or amino acid concentration values ​​in plasma.

[0195] A logistic regression equation was used as a multivariate discriminant. A combination of two variables to be included in the logistic regression equation (hematocrit variable (Ht) was essential) was searched for from hematocrit value (%), serum albumin concentration value (g / dL), and plasma concentration value (nmol / ml) of the above 19 amino acids, and a search was conducted for a logistic regression equation with good discrimination ability between MCI group and healthy group.

[0196] A list of logistic regression equations with two variables and ROC_AUC values ​​of the MCI group and the healthy group of 0.555 or more as described in Example 23 is shown in Figure 34. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0197] The sample data used in Example 24 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the hematocrit value in whole blood is substituted and a variable into which the albumin concentration value in serum or the amino acid concentration value in plasma is substituted.

[0198] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (hematocrit variable is essential) to be included in the logistic regression equation was searched from the hematocrit value in whole blood, the serum concentration value of albumin, and the plasma concentration values ​​of the above 19 kinds of amino acids, in the same manner as in Example 24, to search for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0199] A list of logistic regression equations with three variables and ROC_AUC values ​​of the MCI group and healthy group of 0.633 or more as shown in Figure 34 is shown in Figure 35. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0200] Platelet counts were measured using a sheath flow direct current detection method from whole blood samples from MCI patients aged 60 years or older who had been definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have normal cognitive function (healthy group: 87 people).

[0201] Platelet count in whole blood (×10 4 When the discriminatory ability between the MCI group and the healthy group was evaluated using the platelet count data (p < 0.01 / μL) using the ROC_AUC, the ROC_AUC value was 0.541. It is believed that the platelet count is useful for evaluating the state of MCI while taking into account the state of health. EXAMPLES

[0202] Plasma samples, whole blood samples, and serum samples were used from MCI patients aged 60 years or older who were definitively diagnosed with MCI (MCI group: 120 people) and healthy elderly people aged 60 years or older who were considered to have healthy cognitive function (healthy group: 87 people). Blood amino acid concentrations were measured from the plasma samples using the amino acid analysis method (A) described above, blood platelet counts from whole blood samples using a sheath flow direct current detection method, and blood albumin concentrations from serum samples using the improved BCP method.

[0203] A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was obtained, which included a variable into which the platelet count in whole blood was substituted and a variable into which the albumin concentration value in serum or the amino acid concentration value in plasma was substituted.

[0204] A logistic regression equation was used as a multivariate discriminant. The combination of two variables to be included in the logistic regression equation (the variable of blood platelet count (PLT) is essential) was determined by the number of platelets in whole blood (× 104 We searched for a logistic regression equation that would have good discriminatory ability between the MCI group and the healthy group, using the serum concentration of albumin (g / dL) and the plasma concentration of the above 19 amino acids (nmol / ml).

[0205] A list of logistic regression equations with two variables and ROC_AUC values ​​of the MCI group and the healthy group of 0.541 or more as described in Example 26 is shown in Figure 36. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES

[0206] The sample data used in Example 27 was used. A multivariate discriminant (multivariate function) for discriminating between the MCI group and the healthy group was determined, the multivariate discriminant including a variable into which the platelet count in whole blood is substituted and a variable into which the albumin concentration value in serum or the amino acid concentration value in plasma is substituted.

[0207] A logistic regression equation was used as a multivariate discriminant. A combination of three variables (blood platelet count variable is essential) to be included in the logistic regression equation was searched from the whole blood platelet count, serum albumin concentration value, and plasma concentration value of the above 19 kinds of amino acids, in the same manner as in Example 27, to search for a logistic regression equation with good discrimination ability between the MCI group and the healthy group.

[0208] A list of logistic regression equations with three variables and ROC_AUC values ​​of the MCI group and healthy group of 0.630 or more as shown in Figure 36 is shown in Figure 37. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. [Industrial Applicability]

[0209] As described above, the present invention can be widely implemented in many industrial fields, particularly in the fields of pharmaceuticals, food, and medicine, and is particularly useful in the field of bioinformatics, where prediction of the progression of MCI conditions, prediction of disease risk, and proteome and metabolome analysis are performed. [Explanation of symbols]

[0210] 100 Evaluation device (including calculation device) 102 Control section 102a Acquisition Department 102b Specified part 102c Expression Creation Section 102d Evaluation Section 102d1 Calculation part 102d2 Converter 102d3 Generation part 102d4 Classification section 102e Result output section 102f Transmitter 104 Communication interface section 106 Storage section 106a Concentration data file 106b Index status information file 106c Specified index status information file 106d type related information database 106d1 Formula File 106e Evaluation result file 108 Input / Output Interface Section 112 Input Devices 114 Output Device 200 Client device (terminal device (information communication terminal device)) 300 Network 400 Database device

[0211] [1.2 variable formula] Taurine, aAiBA, 0.933; Taurine, EtGly, 0.919; Taurine, Pyrazole-1-Ala, 0.912; Taurine, Spd, 0.896; Taurine, 1-MeHis, 0.893; Taurine, SDMA, 0.881; Taurine, 3-MeHis, 0.879; Taurine, Kyn / BCAA, 0.879; Taurine, Kyn / Trp, 0.878; Taurine, Kyn, 0.876; Taurine, Put, 0.871; Taurine, Cit, 0.871; Taurine, ADMA, 0.87; Taurine, MCSO2, 0.87; Taurine, GABA, 0.869; Taurine, N8-AcSpd, 0.869; Taurine, Phe, 0.869; Taurine, Cystathionine, 0.869; Pyrazole-1-Ala, Spd, 0.869; Gln, Taurine, 0.868; Taurine, bAiBA, 0.868; Taurine, Ile, 0.868; Taurine, Opthalmic acid, 0.868; Gly, Taurine, 0.867; Taurine, Tyr, 0.867; Taurine, Hypotaurine, 0.867; Taurine, Hypro, 0.867; Asn, Taurine, 0.867; Taurine, Val, 0.867; Taurine, N6-AcLys, 0.867; Taurine, Arg, 0.867; Taurine, Trp, 0.867; Taurine, His, 0.866; Taurine, bABA, 0.866; Ser, Taurine, 0.866; Taurine, hArg, 0.866; Taurine, MeCys, 0.866; Taurine, MCSO1 / MCSO2, 0.865; Taurine, Thioproline, 0.865; Taurine, Met, 0.864; Taurine, Orn, 0.864; Taurine, MCSO2 / MeCys, 0.864; Taurine, Pro, 0.864; Taurine, Ala, 0.863; Taurine, Leu, 0.863; Taurine, aABA, 0.863; Taurine, MCSO1, 0.861; Taurine, Lys, 0.861; Taurine, Sar, 0.86; Taurine, aAAA, 0.86; Taurine, Thr, 0.86; EtGly, PEA, 0.859; Glu, Taurine, 0.858; Taurine, Pipecolic acid, 0.851; Taurine, PEA, 0.849; Taurine, Cysteic acid, 0.847; 1-MeHis, Spd, 0.834; EtGly, Spd, 0.83; aAiBA, MCSO2, 0.829; MCSO1 / MCSO2, Spd, 0.824; N8-AcSpd, Spd, 0.822; MCSO2, Spd, 0.822; aAiBA, PEA, 0.82; Cit, Spd, 0.819; Pyrazole-1-Ala, MCSO2, 0.818; aAAA, Spd, 0.818; aABA, Spd, 0.816; Spd, Thioproline, 0.815; Kyn / BCAA, Spd, 0.815; Pro, Spd, 0.815; EtGly, Pyrazole-1-Ala, 0.815; Pipecolic acid, Spd, 0.814; Kyn, Spd, 0.814; Ile, Spd, 0.814; Hypro, Spd, 0.814; Gln, Spd, 0.813; GABA, Spd, 0.813; Cystathionine, Spd, 0.812; Tyr, Spd, 0.811; N6-AcLys, Spd, 0.811; Trp, Spd, 0.811; Val, Spd, 0.811; MCSO2, Put, 0.811; Ser, Spd, 0.81; Leu, Spd, 0.81; Pyrazole-1-Ala, Put, 0.81; SDMA, Spd, 0.81; bAiBA, Spd, 0.81; Phe, Spd, 0.809; 3-MeHis, Spd, 0.809; Kyn / Trp, Spd, 0.809; ADMA, Spd, 0.808; Asn, Spd, 0.808; MeCys, Spd, 0.807; MCSO2 / MeCys, Spd, 0.807; His, Spd, 0.806; Ala, Spd, 0.806; EtGly, Put, 0.806; Met, Spd, 0.806; Hypotaurine, Spd, 0.805; hArg, Spd, 0.805; Gly, Spd, 0.805; Orn, Spd, 0.804; Arg, Spd, 0.804; Pyrazole-1-Ala, MeCys, 0.804; EtGly, Opthalmic acid, 0.802; bABA, Spd, 0.802; Thr, Spd, 0.8; Lys, Spd, 0.799; Pyrazole-1-Ala, PEA, 0.799; aAiBA, MCSO2 / MeCys, 0.798; MCSO1, Spd, 0.797; hArg, MCSO2, 0.794; MCSO2, Spm, 0.792; Lys, Pyrazole-1-Ala, 0.792; Put, Spd, 0.792; Sar, Spd, 0.791; Opthalmic acid, Spd, 0.791; His, Pyrazole-1-Ala, 0.79; Glu, Spd, 0.79; aAiBA, MeCys, 0.788; Lys, MCSO2, 0.788; 3-MeHis, PEA, 0.786; bAiBA, PEA, 0.785; Gln, PEA, 0.785; EtGly, MeCys, 0.785; bABA, PEA, 0.785; MCSO2 / MeCys, Put, 0.784; 1-MeHis, PEA, 0.784; MeCys, Put, 0.782; Hypro, PEA, 0.781; Met, MCSO2, 0.78; Thr, Pyrazole-1-Ala, 0.78; Taurine, Allyl Cys, 0.778; aAAA, PEA, 0.778; Pyrazole-1-Ala, MCSO2 / MeCys, 0.778; MCSO2, PEA, 0.777; 1-MeHis, MCSO2, 0.777; hArg, MeCys, 0.777; Allyl Cys, Pyrazole-1-Ala, 0.777; Cit, MCSO2, 0.776; Ser, PEA, 0.775; Phe, PEA, 0.775; MCSO2, MCSO1, 0.774; aAiBA, Spd, 0.774; N8-AcSpd, Put, 0.773; MCSO2, N6-AcLys, 0.773; Orn, MCSO2, 0.772; Pro, MCSO2, 0.772; Met, Pyrazole-1-Ala, 0.772; PEA, Thioproline, 0.772; Allyl Cys, MCSO2, 0.772; Gly, MCSO2, 0.771; Ala, MCSO2, 0.771; aAAA, MCSO2, 0.771; Pyrazole-1-Ala, N6-AcLys, 0.77; bABA, MCSO2, 0.77; Thr, MCSO2, 0.77; Arg, MCSO2, 0.77; Lys, MCSO2 / MeCys, 0.77; MCSO2 / MeCys, Spm, 0.77; MCSO2, Sar, 0.77; MCSO2, N8-AcSpd, 0.769; MCSO2, MCSO1 / MCSO2, 0.769; His, MCSO2, 0.769; Tyr, MCSO2, 0.769; bAiBA, MCSO2, 0.767; Trp, MCSO2, 0.767; Cysteic acid, MCSO2, 0.767; MCSO2, Pipecolic acid, 0.767; aABA, MCSO2, 0.767; MCSO2, SDMA, 0.767; Hypotaurine, PEA, 0.767; hArg, Pyrazole-1-Ala, 0.766; Kyn / Trp, MCSO2, 0.766; PEA, Spd, 0.766; hArg, MCSO2 / MeCys, 0.766; Hypro, MCSO2, 0.766; Kyn / BCAA, MCSO2, 0.766; Asn, Pyrazole-1-Ala, 0.765; Leu, MCSO2, 0.765; ADMA, MCSO2, 0.765; Ser, MCSO2, 0.764; GABA, MCSO2, 0.764; Phe, MCSO2, 0.764; 3-MeHis, MCSO2, 0.764; Hypotaurine, MCSO2, 0.762; MCSO2, MCSO2 / MeCys, 0.762; Asn, MCSO2, 0.762; Kyn, MCSO2, 0.761; Ile, PEA, 0.761; MCSO2, MeCys, 0.761; Glu, MCSO2, 0.761; Ile, MCSO2, 0.76; Cystathionine, MCSO2, 0.76; Cysteic acid, Spd, 0.76; Lys, MeCys, 0.76; Pyrazole-1-Ala, MCSO1 / MCSO2, 0.76; Gln, MCSO2, 0.76; Pyrazole-1-Ala, Spm, 0.759; Val, MCSO2, 0.759; MCSO2 / MeCys, MeCys, 0.759; aAiBA, Pyrazole-1-Ala, 0.759; MCSO2, Thioproline, 0.758; His, Opthalmic acid, 0.758; MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; Leu, PEA, 0.757; Ala, Pyrazole-1-Ala, 0.756; MCSO1 / MCSO2, MeCys, 0.756; Trp, PEA, 0.756; aABA, Pyrazole-1-Ala, 0.756; MCSO2 / MeCys, PEA, 0.755; Thr, MCSO2 / MeCys, 0.755; Arg, Pyrazole-1-Ala, 0.755; Taurine, Spm, 0.754; ADMA, PEA, 0.754; Hypotaurine, Pyrazole-1-Ala, 0.753; Kyn / BCAA, PEA, 0.753; Pro, Pyrazole-1-Ala, 0.753; Kyn / Trp, Pyrazole-1-Ala, 0.753; Opthalmic acid, Put, 0.753; PEA, Pipecolic acid, 0.752; Cystathionine, PEA, 0.752; Pyrazole-1-Ala, Sar, 0.752; Tyr, PEA, 0.752; MeCys, PEA, 0.751; aAAA, Pyrazole-1-Ala, 0.751; MeCys, Sar, 0.75; Val, PEA, 0.75; hArg, Put, 0.749; MeCys, N6-AcLys, 0.749; Allyl Cys, MCSO2 / MeCys, 0.749; Pro, MCSO2 / MeCys, 0.749; MCSO2, Opthalmic acid, 0.748; EtGly, Spm, 0.748; Gly, Pyrazole-1-Ala, 0.746; Met, MeCys, 0.746; Lys, Allyl Cys, 0.746; 1-MeHis, MCSO2 / MeCys, 0.746; Met, MCSO2 / MeCys, 0.746; Cystathionine, Pyrazole-1-Ala, 0.745; MCSO1, MCSO1 / MCSO2, 0.745; MeCys, SDMA, 0.745; His, MeCys, 0.745; Orn, Pyrazole-1-Ala, 0.744; Allyl Cys, MeCys, 0.744; ADMA, Pyrazole-1-Ala, 0.744; aAiBA, Put, 0.744; MCSO1, MeCys, 0.744; Met, PEA, 0.743; Put, SDMA, 0.743; His, PEA, 0.743; 3-MeHis, Pyrazole-1-Ala, 0.742; His, MCSO2 / MeCys, 0.742; Kyn / Trp, MCSO2 / MeCys, 0.742; Arg, MeCys, 0.742; Pyrazole-1-Ala, SDMA, 0.742; EtGly, MCSO1 / MCSO2, 0.741; Tyr, MeCys, 0.741; Cysteic acid, Pyrazole-1-Ala, 0.74; Pyrazole-1-Ala, Pipecolic acid, 0.74; GABA, Pyrazole-1-Ala, 0.74; PEA, Put, 0.74; Orn, MCSO2 / MeCys, 0.739; GABA, PEA, 0.739; Kyn / BCAA, MCSO2 / MeCys, 0.739; MCSO1 / MCSO2, Put, 0.739; Thr, MeCys, 0.739; 1-MeHis, Pyrazole-1-Ala, 0.738; Ala, MCSO2 / MeCys, 0.738; MeCys, N8-AcSpd, 0.737; aABA, EtGly, 0.737; Trp, Pyrazole-1-Ala, 0.737; bAiBA, Pyrazole-1-Ala, 0.737; Glu, Pyrazole-1-Ala, 0.737; Arg, MCSO2 / MeCys, 0.737; Leu, MeCys, 0.737; Ser, Pyrazole-1-Ala, 0.736; Ala, MeCys, 0.736; Leu, MCSO2 / MeCys, 0.736; Hypro, Pyrazole-1-Ala, 0.736; Pro, MeCys, 0.736; Pyrazole-1-Ala, Thioproline, 0.736; Cit, MeCys, 0.736; Orn, MeCys, 0.736; Trp, MeCys, 0.736; Kyn / BCAA, Pyrazole-1-Ala, 0.736; Kyn, Pyrazole-1-Ala, 0.735; Cit, Pyrazole-1-Ala, 0.735; bABA, MeCys, 0.735; 1-MeHis, Put, 0.735; Gly, MeCys, 0.735; bABA, Pyrazole-1-Ala, 0.735; aAAA, MeCys, 0.735; Allyl Cys, Put, 0.735; Ile, Pyrazole-1-Ala, 0.734; ADMA, MeCys, 0.734; MCSO2 / MeCys, N6-AcLys, 0.734; MCSO2 / MeCys, Pipecolic acid, 0.734; MCSO1, MCSO2 / MeCys, 0.734; Asn, PEA, 0.734; Kyn / BCAA, MeCys, 0.733; EtGly, MCSO2, 0.733; Asn, MCSO2 / MeCys, 0.733; Cit, MCSO2 / MeCys, 0.733; Trp, MCSO2 / MeCys, 0.733; Kyn / Trp, Put, 0.733; aAAA, MCSO2 / MeCys, 0.732; bAiBA, MeCys, 0.732; Pyrazole-1-Ala, MCSO1, 0.732; His, Put, 0.732; aABA, MeCys, 0.732; bABA, MCSO2 / MeCys, 0.732; Gln, Pyrazole-1-Ala, 0.732; Lys, Put, 0.732; Kyn / Trp, MeCys, 0.732; MCSO2 / MeCys, SDMA, 0.732; 3-MeHis, MeCys, 0.731; 1-MeHis, MeCys, 0.731; Lys, PEA, 0.731; Gly, MCSO2 / MeCys, 0.731; Cysteic acid, MeCys, 0.731; Allyl Cys, Spd, 0.73; Ser, MeCys, 0.73; Cystathionine, MeCys, 0.73; GABA, MCSO2 / MeCys, 0.73; MCSO2 / MeCys, N8-AcSpd, 0.73; Pyrazole-1-Ala, Opthalmic acid, 0.73; ADMA, MCSO2 / MeCys, 0.73; Ile, MeCys, 0.729; Pyrazole-1-Ala, N8-AcSpd, 0.729; Gln, MeCys, 0.729; Asn, MeCys, 0.728; Hypro, MeCys, 0.728; bAiBA, MCSO2 / MeCys, 0.728; hArg, Opthalmic acid, 0.728; Ala, Put, 0.728; Leu, Pyrazole-1-Ala, 0.728; Phe, MeCys, 0.728; MCSO1, PEA, 0.727; Kyn / BCAA, Put, 0.727; Val, Pyrazole-1-Ala, 0.727; Ile, MCSO2 / MeCys, 0.727; Tyr, Pyrazole-1-Ala, 0.727; Val, MeCys, 0.727; Glu, MeCys, 0.726; Thr, Put, 0.726; Kyn, MeCys, 0.726; PEA, SDMA, 0.726; MCSO2 / MeCys, Sar, 0.726; Kyn, Put, 0.726; MeCys, Pipecolic acid, 0.726; Tyr, MCSO2 / MeCys, 0.725; Hypro, MCSO2 / MeCys, 0.725; Phe, Pyrazole-1-Ala, 0.725; Hypotaurine, MeCys, 0.725; Gly, PEA, 0.725; aABA, Put, 0.725; MeCys, Thioproline, 0.724; Val, MCSO2 / MeCys, 0.724; Cystathionine, Put, 0.724; GABA, MeCys, 0.724; Orn, PEA, 0.724; Cystathionine, MCSO2 / MeCys, 0.723; Hypotaurine, MCSO2 / MeCys, 0.723; Put, Thioproline, 0.723; Kyn, MCSO2 / MeCys, 0.723; Glu, MCSO2 / MeCys, 0.723; Hypotaurine, Put, 0.722; MeCys, Spm, 0.722; Cit, EtGly, 0.722; Kyn / Trp, PEA, 0.722; Hypro, Put, 0.722; Gln, MCSO2 / MeCys, 0.721; aABA, MCSO2 / MeCys, 0.72; Cit, Put, 0.72; 3-MeHis, MCSO2 / MeCys, 0.72; Cysteic acid, MCSO2 / MeCys, 0.72; Phe, MCSO2 / MeCys, 0.719; aABA, PEA, 0.719; MCSO2 / MeCys, Thioproline, 0.719; Met, Put, 0.719; EtGly, Hypro, 0.719; EtGly, Kyn / BCAA, 0.719; Ser, MCSO2 / MeCys, 0.718; Gly, Put, 0.718; Cysteic acid, PEA, 0.718; Trp, Put, 0.717; Orn, Put, 0.717; 3-MeHis, Put, 0.717; N6-AcLys, PEA, 0.716; Pro, PEA, 0.716; Ala, PEA, 0. .715; Thr, PEA, 0.715; Pro, Put, 0.715; GABA, Put, 0.713; Asn, Put, 0.713; Tyr, Put, 0.713; Phe, Put, 0.713; MCSO1, Put, 0.713; Cysteic acid, Put, 0.713; Arg, Put, 0.712; Ser, Put, 0.712; N8-AcSpd, PEA, 0.712; N6-AcLys, Put, 0.712; Put, Sar, 0.711; Val, Put, 0.711; Leu, Put, 0.711; bAiBA, Put, 0.71; Ile, Put, 0.71; hArg, PEA, 0.709; ADMA, Put, 0.709; Arg, PEA, 0.709; Kyn, PEA, 0.709; His, Cit, 0.709; Cit, PEA, 0.709; Cysteic acid, MCSO1 / MCSO2, 0.708; Gln, Put, 0.707; MeCys, Opthalmic acid, 0.706; Thr, Opthalmic acid, 0.705; His, SDMA, 0.704; Glu, Put, 0.704; Cit, Lys, 0.703; MCSO2 / MeCys, Opthalmic acid, 0.703; N6-AcLys, SDMA, 0.703; His, Kyn, 0.702; Lys, MCSO1 / MCSO2, 0.702; bABA, Put, 0.702; Lys, N8-AcSpd, 0.702; Thr, Spm, 0.701; His, 1-MeHis, 0.701; aAAA, Put, 0.701; Lys, 1-MeHis, 0.7; His, hArg, 0.7; Lys, Hypotaurine, 0.7; Lys, SDMA, 0.7; hArg, Hypotaurine, 0.7

[0212] [2.3 variable formula] Taurine, 1-MeHis, Spd, 0.923; Taurine, 1-MeHis, Kyn / Trp, 0.914; Taurine, 1-MeHis, SDMA, 0.914; Taurine, 1-MeHis, Kyn / BCAA, 0.912; Taurine, 1-MeHis, Kyn, 0.91; Taurine, SDMA, Spd, 0.909; Taurine, 1-MeHis, 3-MeHis, 0.908; Taurine, Cit, 1-MeHis, 0.908; Taurine, Kyn, Spd, 0.905; Taurine, Kyn / BCAA, Spd, 0.905; Taurine, 3-MeHis, Spd, 0.905; Taurine, Kyn / Trp, Spd, 0.903; Taurine, Spd, Thioproline, 0.902; Taurine, Cit, Spd, 0.902; Taurine, 1-MeHis, MCSO2, 0.902; Taurine, 1-MeHis, GABA, 0.901; Taurine, 1-MeHis, hArg, 0.9; Taurine, 1-MeHis, N6-AcLys, 0.9; Taurine, 1-MeHis, N8-AcSpd, 0.9; Taurine, His, 1-MeHis, 0.9; Taurine, 1-MeHis, Put, 0.899; Taurine, 1-MeHis, MCSO2 / MeCys, 0.899; Taurine, GABA, Spd, 0.899; Taurine, Cystathionine, Spd, 0.898; Taurine, Hypro, Spd, 0.898; Asn, Taurine, Spd, 0.897; Taurine, ADMA, Spd, 0.897; Taurine, Phe, Spd, 0.897; Taurine, 1-MeHis, ADMA, 0.896; Taurine, 1-MeHis, Cystathionine, 0.896; Taurine, 1-MeHis, MCSO1 / MCSO2, 0.896; Taurine, 1-MeHis, bAiBA, 0.896; Taurine, Tyr, Spd, 0.896; Taurine, Val, Spd, 0.896; Taurine, Orn, Spd, 0.896; Taurine, Ile, Spd, 0.896; Taurine, Met, 1-MeHis, 0.896; Taurine, Trp, 1-MeHis, 0.896; Taurine, 1-MeHis, Hypro, 0.896; Gln, Taurine, Spd, 0.896; Taurine, Arg, 1-MeHis, 0.896; Taurine, 1-MeHis, Thioproline, 0.896; Ser, Taurine, Spd, 0.896; Taurine, Tyr, 1-MeHis, 0.895; Taurine, 1-MeHis, bABA, 0.895; Taurine, bAiBA, Spd, 0.895; Taurine, Arg, Spd, 0.895; Taurine, Val, 1-MeHis, 0.895; Taurine, Trp, Spd, 0.895; Taurine, N8-AcSpd, Spd, 0.895; Asn, Taurine, 1-MeHis, 0.895; Gly, Taurine, 1-MeHis, 0.895; Taurine, Orn, 1-MeHis, 0.895; Taurine, aABA, Spd, 0.895; Taurine, N6-AcLys, Spd, 0.895; Taurine, aABA, 1-MeHis, 0.894; Taurine, Leu, 1-MeHis, 0.894; Gly, Taurine, Spd, 0.894; Taurine, Ile, 1-MeHis, 0.894; Taurine, Phe, 1-MeHis, 0.894; Taurine, hArg, Spd, 0.894; Ser, Taurine, 1-MeHis, 0.893; Taurine, Ala, 1-MeHis, 0.893; Taurine, 1-MeHis, Hypotaurine, 0.893; Taurine, bABA, Spd, 0.893; Taurine, Met, Spd, 0.893; Gln, Taurine, 1-MeHis, 0.893; Taurine, Leu, Spd, 0.893; Taurine, aAAA, Spd, 0.893; Taurine, 1-MeHis, MeCys, 0.893; Taurine, Put, SDMA, 0.893; Taurine, Thr, 1-MeHis, 0.893; Taurine, Lys, 1-MeHis, 0.892; Taurine, 1-MeHis, MCSO1, 0.892; Taurine, Kyn / Trp, Put, 0.892; Taurine, Pro, Spd, 0.892; Taurine, MCSO1, Spd, 0.892; Taurine, Pro, 1-MeHis, 0.892; Taurine, Kyn / BCAA, Put, 0.891; Taurine, MCSO1 / MCSO2, Spd, 0.891; Taurine, Ala, Spd, 0.89; Taurine, 1-MeHis, aAAA, 0.889; Taurine, Put, Spd, 0.889; Glu, Taurine, 1-MeHis, Sar, 0.888; Taurine, His, Kyn, 0.887; Taurine, Hypotaurine, Spd, 0.887; Taurine, 1-MeHis, PEA, 0.887; Taurine, 3-MeHis, Put, 0.886; Taurine, 1-MeHis, Pipecolic acid, 0.886; Glu, Taurine, Spd, 0.886; Taurine, His, Spd, 0.886; Taurine, 1-MeHis, Cysteic acid, 0.886; Taurine, Lys, Spd, 0.886; Taurine, Cit, SDMA, 0.885; Taurine, Pipecolic acid, Spd, 0.884; Taurine, Leu, Kyn, 0.884; Taurine, Thr, Spd, 0.884; Taurine, Hypro, SDMA, 0.883; Taurine, MCSO2, Put, 0.883; Taurine, Kyn / BCAA, SDMA, 0.883; Gln, taurine, SDMA, 0.883; Taurine, God, SDMA, 0.883; Taurine, Cystathionine, Kyn / BCAA, 0.883; Taurine, GABA, SDMA, 0.883; Taurine, His, SDMA, 0.882; Taurine, Kyn, Put, 0.882; Gly, taurine, SDMA, 0.882; Taurine, Met, SDMA, 0.882; Taurine, Arg, SDMA, 0.882; taurine, MCSO2 / MeCys, Spd, 0.882; Taurine, aABA, SDMA, 0.882; Taurine, His, Kyn / Trp, 0.881; Taurine, Ile, SDMA, 0.881; taurine, hArg, SDMA, 0.881; Taurine, aAAA, SDMA, 0.881; Ser, Taurine, SDMA, 0.881; Taurine, Val, SDMA, 0.881; Taurine, aABA, Kyn / BCAA, 0.881; Taurine, Hypotaurine, SDMA, 0.881; Taurine, SDMA, Thioproline, 0.88; Taurine, Cit, Kyn / BCAA, 0.88; Taurine, Ile, Kyn, 0.88; Taurine, Phe, SDMA, 0.88; Taurine, Trp, SDMA, 0.88; Taurine, Kyn / Trp, MCSO1 / MCSO2, 0.88; Taurine, Met, 3-MeHis, 0.88; Taurine, 3-MeHis, Kyn / BCAA, 0.88; Taurine, hArg, Kyn, 0.88; Taurine, Kyn / BCAA, Thioproline, 0.88; Taurine, Val, Kyn / BCAA, 0.88; Taurine, ADMA, SDMA,88; Taurine, N8-AcSpd, Put, 0.88; Taurine, bABA, SDMA, 0.88; Taurine, Arg, Kyn / BCAA, 0.88; Taurine, 3-MeHis, Hypro, 0.88; Taurine, Cystathionine, SDMA, 0.88; Taurine, Hypotaurine, Kyn / BCAA, 0.88; Gln, Taurine, Kyn / BCAA, 0.879; Taurine, Val, Kyn, 0.879; Taurine, Phe, Kyn / BCAA, 0.879; Taurine, Kyn, SDMA, 0.879; Ser, Taurine, Kyn / BCAA, 0.879; Taurine, Ala, 3-MeHis, 0.879; Taurine, Tyr, 3-MeHis, 0.879; Taurine, Tyr, SDMA, 0.879; Taurine, Trp, Kyn / BCAA, 0.879; Taurine, GABA, Kyn / BCAA, 0.879; Taurine, hArg, Kyn / Trp, 0.879; Taurine, hArg, Kyn / BCAA, 0.879; Taurine, Kyn, Kyn / BCAA, 0.879; Taurine, Kyn / BCAA, MCSO1 / MCSO2, 0.879; Taurine, Arg, 3-MeHis, 0.879; Taurine, Tyre, Kyn / BCAA, 0.879; Taurine, Ile, Kyn / BCAA, 0.879; taurine, MCSO2, Spd, 0.879; Asn, Taurine, SDMA, 0.879; Taurine, Cit, Kyn, 0.879; Taurine, Trp, 3-MeHis, 0.879; Taurine, Kyn / Trp, SDMA, 0.879; Taurine, Sar, Spd, 0.878; Taurine, Cit, Put, 0.878; Taurine, aABA, 3-MeHis, 0.878; Taurine, Val, 3-MeHis, 0.878; Taurine, Leu, Kyn / BCAA,878; Taurine, hArg, Put, 0.878; Taurine, Met, Kyn / BCAA, 0.878; Taurine, Ile, 3-MeHis, 0.878; Taurine, 3-MeHis, ADMA, 0.878; Taurine, 3-MeHis, Hypotaurine, 0.878; Taurine, Kyn / BCAA, MCSO2, 0.878; Taurine, Kyn, Sar, 0.878; Taurine, 3-MeHis, aAAA, 0.878; Taurine, aAAA, Kyn / BCAA, 0.878; Taurine, bAiBA, SDMA, 0.878; Gln, Taurine, Kyn / Trp, 0.878; Taurine, Pro, Kyn / BCAA, 0.878; Taurine, aABA, Kyn, 0.878; Taurine, 3-MeHis, SDMA, 0.878; Taurine, Hypro, Kyn / BCAA, 0.878; Taurine, Kyn / Trp, Kyn / BCAA, 0.878; Taurine, MCSO2 / MeCys, Put, 0.878; Taurine, bABA, Kyn / BCAA, 0.878; Taurine, Pro, 3-MeHis, 0.878; Taurine, Orn, Kyn / BCAA, 0.878; Taurine, Orn, SDMA, 0.878; Taurine, Ile, Kyn / Trp, 0.878; Taurine, ADMA, Kyn / BCAA, 0.878; Taurine, Kyn, MCSO2, 0.878; Taurine, Kyn / BCAA, N8-AcSpd, 0.878; Taurine, MeCys, Spd, 0.878; Ser, Taurine, 3-MeHis, 0.877; Asn, Taurine, Kyn / BCAA, 0.877; Gln, Taurine, 3-MeHis, 0.877; Taurine, His, Kyn / BCAA, 0.877; Taurine, Lys, 3-MeHis, 0.877; Taurine, Leu, SDMA, 0.877; Taurine, Kyn / Trp, Thioproline, 0.877; Gly, Taurine, 3-MeHis, 0.877; Gly, Taurine, Kyn / BCAA, 0.877; Taurine, Cit, Kyn / Trp, 0.877; Taurine, Met, Kyn, 0.877; Taurine, Trp, Kyn / Trp, 0.877; Taurine, Cystathionine, Kyn / Trp, 0.877; Taurine, Hypotaurine, Kyn / Trp, 0.877; Taurine, Kyn / BCAA, MeCys, 0.877; Taurine, Kyn, Thioproline, 0.877; Taurine, 3-MeHis, bABA, 0.877; Ser, Taurine, MCSO2, 0.877; Taurine, Ala, Kyn / BCAA, 0.877; Taurine, Orn, 3-MeHis, 0.877; Taurine, Lys, SDMA, 0.877; Taurine, 3-MeHis, hArg, 0.877; Taurine, GABA, Kyn, 0.877; Taurine, MCSO1 / MCSO2, SDMA, 0.877; Taurine, MeCys, Put, 0.877; Taurine, bAiBA, Kyn / BCAA, 0.877; Taurine, Cit, 3-MeHis, 0.877; Taurine, Arg, Kyn / Trp, 0.877; Taurine, Tyr, Kyn / Trp, 0.877; Taurine, bABA, Kyn / Trp, 0.877; Taurine, Kyn, Kyn / Trp, 0.877; Taurine, Kyn / Trp, MCSO2, 0.877; Taurine, N8-AcSpd, SDMA, 0.877; Taurine, 3-MeHis, bAiBA, 0.876; Ser, Taurine, Kyn / Trp, 0.876; Taurine, Ala, Kyn / Trp, 0.876; Taurine, Val, Kyn / Trp, 0.876; Taurine, Lys, Kyn, 0.876; Asn, Taurine, Kyn / Trp, 0.876; Taurine, Leu, 3-MeHis, 0.876; Taurine, 3-MeHis, Thioproline, 0.876; Ser, Taurine, Kyn, 0.876; Taurine, Pro, SDMA, 0.876; Taurine, Put, Thioproline, 0.876; Asn, Taurine, 3-MeHis, 0.876; Taurine, Ala, Kyn, 0.876; Taurine, Tyr, Kyn, 0.876; Taurine, Met, Kyn / Trp, 0.876; Taurine, Hypotaurine, Kyn, 0.876; Taurine, Hypro, Kyn / Trp, 0.876; Taurine, Kyn, MCSO1 / MCSO2, 0.876; Taurine, 3-MeHis, Sar, 0.876; Gln, Taurine, Kyn, 0.875; Taurine, Phe, 3-MeHis, 0.875; Taurine, Phe, Kyn, 0.875; Gly, Taurine, Kyn / Trp, 0.875; Taurine, MCSO1, SDMA, 0.875; Taurine, aABA, Kyn / Trp, 0.875; Taurine, Cystathionine, Kyn, 0.875; Taurine, bABA, Kyn, 0.875; Taurine, Thr, MCSO2, 0.875; Taurine, 3-MeHis, GABA, 0.875; Taurine, 3-MeHis, MCSO1 / MCSO2, 0.875; Taurine, hArg, MCSO2, 0.875; Taurine, Kyn / Trp, MeCys, 0.875; Taurine, bAiBA, Put, 0.875; Taurine, His, 3-MeHis, 0.875; Taurine, Thr, Kyn / BCAA, 0.875; Taurine, Cit, MCSO2, 0.875; Taurine, Cit, MCSO1 / MCSO2, 0.875; Taurine, Lys, Cystathionine, 0.875; Taurine, Leu, Kyn / Trp, 0.875; Taurine, MCSO1 / MCSO2, Put, 0.875; Taurine, N6-AcLys, Put, 0.875; Taurine, bAiBA, Kyn, 0.875; Taurine, His, Cystathionine, 0.874; Taurine, Thr, SDMA, 0.874; Taurine, Met, Cystathionine, 0.874; Taurine, Trp, Put, 0.874; Taurine, ADMA, Kyn / Trp, 0.874; Taurine, Kyn / BCAA, MCSO1, 0.874; Taurine, MCSO2, SDMA, 0.874; Gly, Taurine, Kyn, 0.874; Taurine, Trp, Kyn, 0.874; Taurine, Hypro, Kyn, 0.874; Taurine, Kyn / Trp, N8-AcSpd, 0.874; Taurine, bAiBA, Kyn / Trp, 0.874; Taurine, Thr, Kyn, 0.874; Taurine, Cit, aABA, 0.874; Taurine, Kyn / BCAA, Sar, 0.874; Taurine, Arg, Kyn, 0.874; Taurine, Pro, MCSO2, 0.874; Taurine, aABA, Put, 0.874; Taurine, Lys, Kyn / BCAA, 0.874; Taurine, Phe, Kyn / Trp, 0.874; Taurine, GABA, Put, 0.874; taurine, MeCys, SDMA, 0.874; Taurine, Orn, Kyn / Trp, 0.873; taurine, 3-MeHis, cystathionine, 0.873; Taurine, GABA, MCSO2, 0.873; Taurine, Kyn / BCAA, N6-AcLys, 0.873; Taurine, Cit, Hypro, 0.873; Taurine, Tyre, Put,873; Glu, Taurine, Kyn / BCAA, 0.873; Asn, Taurine, Kyn, 0.873; Gly, Taurine, Cit, 0.873; Gln, Taurine, Cit, 0.873; Taurine, Cit, Arg, 0.873; Taurine, GABA, MCSO1 / MCSO2,. 0.873; Taurine, aAAA, Kyn, 0.873; Glu, Taurine, MCSO2, 0.873; Ser, Taurine, Cit, 0.873; Taurine, His, N8-AcSpd, 0.873; Taurine, Arg, Put, 0.873; Taurine, Leu, Cystathionine, 0.873; Taurine, Cystathionine, Put, 0.873; Taurine, aAAA, Kyn / Trp, 0.872; Taurine, 3-MeHis, Kyn / Trp, 0.872; Taurine, 3-MeHis, MCSO1, 0.872; Taurine, GABA, hArg, 0.872; Taurine, hArg, MeCys, 0.872; Taurine, Kyn, MeCys, 0.872; Taurine, Cit, hArg, 0.872; Taurine, Pro, Kyn / Trp, 0.872; Taurine, Ile, Put, 0.872; Taurine, Leu, Put, 0.872; Taurine, ADMA, Kyn, 0.872; Taurine, Cystathionine, MCSO2, 0.872; Ser, Taurine, Put, 0.872; Gln, Taurine, Put, 0.872; Taurine, Cit, Trp, 0.872; Taurine, Cit, Hypotaurine, 0.872; Taurine, Arg, N8-AcSpd, 0.872; Taurine, Val, Cystathionine, 0.872; Taurine, GABA, Kyn / Trp, 0.872; Taurine, Hypro, Put, 0.872; Taurine, MCSO2 / MeCys, MeCys, 0.872; Taurine, Cit, Thioproline, 0.872; Taurine, MCSO2, Thioproline, 0.872; Asn, Taurine, Put, 0.872; Taurine, Arg, Cystathionine, 0.872; Taurine, Pro, Kyn, 0.872; Taurine, Orn, Put, 0.872; Taurine, Phe, Put, 0.872; Taurine, 3-MeHis, Kyn, 0.872; Taurine, MCSO2, MCSO1 / MCSO2, 0.872; Taurine, bABA, MCSO2, 0.871; Taurine, Sar, SDMA, 0.871; Taurine, Cit, Tyr, 0.871; Taurine, Cit, Phe, 0.871; Taurine, aABA, N8-AcSpd, 0.871; Taurine, Val, Put, 0.871; Taurine, 3-MeHis, N8-AcSpd, 0.871; Gly, Taurine, MCSO2, 0.871; Taurine, His, Put, 0.871; Taurine, Met, N8-AcSpd, 0.871; Taurine, Met, Put, 0.871; Taurine, Orn, Kyn, 0.871; Taurine, Leu, Phe, 0.871; Taurine, 3-MeHis, N6-AcLys, 0.871; Taurine, Cysteic acid, MCSO1 / MCSO2, 0.871; Asn, Taurine, His, 0.871; Taurine, Cit, Leu, 0.871; Taurine, Phe, MCSO2, 0.871; Taurine, Cystathionine, GABA, 0.871; Taurine, hArg, N6-AcLys, 0.871; Taurine, Hypotaurine, Put, 0.871; Taurine, Hypro, MCSO2, 0.871; Taurine, MCSO2, MCSO1, 0.871; Gln, Taurine, N8-AcSpd, 0.871; Taurine, Cit, Met, 0.871; Taurine, Val, N8-AcSpd, 0.871; Taurine, Lys, Put, 0.871; Taurine, 3-MeHis, MCSO2, 0.871; Taurine, Kyn, MCSO1, 0.871; Taurine, Kyn, N8-AcSpd, 0.871; Taurine, Kyn / BCAA, MCSO2 / MeCys, 0.871; Asn, Taurine, N8-AcSpd, 0.87; Taurine, Ala, Cit, 0.87; Taurine, Cit, Val, 0.87; Taurine, Cit, Ile, 0.87; Taurine, Met, GABA, 0.87; Taurine, Lys, MCSO2, 0.87; Taurine, Lys, N6-AcLys, 0.87; Taurine, Leu, MCSO2, 0.87; Taurine, Trp, MCSO2, 0.87; Taurine, Kyn / Trp, MCSO2 / MeCys, 0.87; Taurine, bABA, Put, 0.87; Taurine, aAAA, N8-AcSpd, 0.87; Taurine, Ala, Cystathionine, 0.87; Taurine, Ala, Put, 0.87; Taurine, Cit, Pro, 0.87; Taurine, Tyr, MCSO2, 0.87; Taurine, Ile, hArg, 0.87; Taurine, Ile, MCSO2, 0.87; Taurine, Leu, GABA, 0.87; Taurine, ADMA, Hypotaurine, 0.87; Taurine, ADMA, MCSO2, 0.87; Taurine, ADMA, MCSO1 / MCSO2, 0.87; Taurine, Kyn / Trp, MCSO1, 0.87; Taurine, MCSO2, MCSO2 / MeCys, 0.87; Taurine, MCSO2, MeCys, 0.87; Taurine, MCSO2, N8-AcSpd, 0.87; Taurine, Cit, bAiBA, 0.87; Taurine, bAiBA, GABA, 0.87; Asn, Taurine, MCSO2, 0.87; Gln, Taurine, GABA, 0.87; Gln, Taurine, MCSO2, 0.87; Taurine, Cit, ADMA, 0.87; Taurine, aABA, Cystathionine, 0.87; Taurine, Orn, MCSO2, 0.87; Taurine, Lys, Kyn / Trp, 0.87; Taurine, Phe, N8-AcSpd, 0.87; Taurine, ADMA, hArg, 0.87; Taurine, ADMA, Put, 0.87; Taurine, Cystathionine, Hypro, 0.87; Ser, Taurine, Tyr, 0.87; Ser, Taurine, GABA, 0.87; Taurine, Thr, Kyn / Trp, 0.87; Taurine, Cit, N8-AcSpd, 0.87; Taurine, Trp, N8-AcSpd, 0.87; Taurine, ADMA, N8-AcSpd, 0.87; Taurine, MCSO1, Put, 0.87; Taurine, Cysteic acid, Spd, 0.87; Gly, Taurine, Cystathionine, 0.869; Gln, Taurine, ADMA, 0.869; Gln, Taurine, Cystathionine, 0.869; Taurine, His, MCSO2, 0.869; Taurine, Cit, Lys, 0.869; Taurine, Val, GABA, 0.869; Taurine, Ile, Leu, 0.869; Taurine, Ile, ADMA, 0.869; Taurine, Ile, Cystathionine, 0.869; Taurine, Trp, Cystathionine, 0.869; Taurine, ADMA, Cystathionine, 0.869; Taurine, Cystathionine, N8-AcSpd, 0.869; Taurine, hArg, Thioproline, 0.869; Asn, Taurine, Cystathionine, 0.869; Taurine, Cit, Cystathionine, 0.869; Taurine, Tyr, Ile, 0.869; Taurine, Val, MCSO2, 0.869; Taurine, ADMA, Hypro, 0.869; Taurine, GABA, N8-AcSpd, 0.869; Taurine, hArg, Hypotaurine, 0.869; Taurine, Hypro, N8-AcSpd, 0.869; Taurine, MCSO1 / MCSO2, MeCys, 0.869; Taurine, Cysteic acid, MCSO2, 0.869; Taurine, bAiBA, MCSO2, 0.869; Taurine, PEA, Spd, 0.869; Gly, Taurine, ADMA, 0.869; Gly, Taurine, N8-AcSpd, 0.869; Gly, Taurine, Put, 0.869; Taurine, His, Ile, 0.869; Taurine, Arg, MCSO2, 0.869; Taurine, Pro, N6-AcLys, 0.869; Taurine, Pro, Put, 0.869; Taurine, Lys, N8-AcSpd, 0.869; Taurine, Ile, N8-AcSpd, 0.869; Taurine, 3-MeHis, MeCys, 0.869; Taurine, GABA, Hypro, 0.869; Taurine, Hypotaurine, N8-AcSpd, 0.869; Taurine, Kyn / Trp, Sar, 0.869; Taurine, ADMA, bAiBA, 0.869; Taurine, Cystathionine, Thioproline, 0.869; Taurine, Cit, bABA, 0.869; Taurine, ADMA, bABA, 0.869; Ser, Taurine, Ile, 0.869; Ser, Taurine, ADMA, 0.869; Ser, Taurine, Cystathionine, 0.869; Ser, Taurine, N8-AcSpd, 0.869; Taurine, Pro, Cystathionine, 0.869; Taurine, aABA, MCSO2, 0.869; Taurine, Tyr, Hypro, 0.869; Taurine, Tyr, N8-AcSpd, 0.869; Taurine, Ile, Hypro, 0.869; Taurine, Phe, Hypro, 0.869; Taurine, Cystathionine, Hypotaurine, 0.869; Taurine, GABA, MeCys, 0.869; Asn, Taurine, Tyr, 0.868; Gly, Taurine, Tyr, 0.868; Taurine, Thr, MeCys, 0.868; Taurine, Ala, MCSO2, 0.868; Taurine, Cit, Orn, 0.868; Taurine, Arg, Ile, 0.868; Taurine, Tyr, Cystathionine, 0.868; Taurine, Tyr, MCSO1 / MCSO2, 0.868; Taurine, Phe, Hypotaurine, 0.868; Taurine, Trp, ADMA, 0.868; Taurine, Trp, GABA, 0.868; Taurine, Cystathionine, hArg, 0.868; Ser, Taurine, bAiBA, 0.868; Taurine, GABA, Thioproline, 0.868; Taurine, Kyn / BCAA, Pipecolic acid, 0.868; Ser, Gln, Taurine, 0.868; Gly, Taurine, GABA, 0.868; Gln, Taurine, Ile, 0.868; Gln, Taurine, Phe, 0.868; Taurine, Thr, 3-MeHis, 0.868; Taurine, Tyr, hArg, 0.868; Taurine, Tyr, N6-AcLys, 0.868; Taurine, Ile, GABA, 0.868; Taurine, Leu, MeCys, 0.868; Taurine, Phe, ADMA, 0.868; Taurine, Phe, Cystathionine, 0.868; Taurine, ADMA, MeCys, 0.868; Taurine, Cystathionine, MCSO1 / MCSO2, 0.868; Taurine, Cystathionine, MeCys, 0.868; Taurine, GABA, N6-AcLys, 0.868; Gln, Taurine, bAiBA, 0.868; Taurine, Ile, bAiBA, 0.868; Taurine, Phe, bABA, 0.868; Taurine, bABA, Cystathionine, 0.868; Taurine, bABA, GABA, 0.868; Asn, Taurine, ADMA, 0.868; Gln, Taurine, Hypro, 0.868; Gln, Taurine, N6-AcLys, 0.868; Taurine, His, Cit, 0.868; Taurine, His, Hypotaurine, 0.868; Taurine, Cit, GABA, 0.868; Taurine, Cit, MeCys, 0.868; Taurine, Arg, hArg, 0.868; Taurine, Tyr, ADMA, 0.868; Taurine, Val, Hypotaurine, 0.868; Taurine, Met, MCSO2, 0.868; Taurine, GABA, Hypotaurine, 0.868; Taurine, GABA, MCSO2 / MeCys, 0.868; Taurine, Hypotaurine, Hypro, 0.868; Taurine, Kyn, MCSO2 / MeCys, 0.868; Taurine, Phe, Thioproline, 0.868; Taurine, bAiBA, Hypotaurine, 0.868; Taurine, bAiBA, Hypro, 0.868; Taurine, MCSO1 / MCSO2, Thioproline, 0.868; Glu, Taurine, Kyn, 0.868; Asn, Taurine, Cit, 0.868; Gln, Taurine, Tyr, 0.868; Gln, Taurine, Hypotaurine, 0.868; Taurine, Thr, Cystathionine, 0.868; Taurine, Arg, Tyr, 0.868; Taurine, Arg, N6-AcLys, 0.868; Taurine, aABA, GABA, 0.868; Taurine, Val, Trp, 0.868; Taurine, Val, hArg, 0.868; Taurine, Orn, Cystathionine, 0.868; Taurine, Ile, Hypotaurine, 0.868; Taurine, Phe, MCSO1 / MCSO2, 0.868; Taurine, MCSO1, N8-AcSpd, 0.868; Taurine, bAiBA, N8-AcSpd, 0.868; Glu, Taurine, Kyn / Trp, 0.867; Glu, Taurine, MCSO2 / MeCys, 0.867; Ser, Asn, Taurine, 0.867; Ser, Gly, Taurine, 0.867; Ser, Taurine, His, 0.867; Ser, Taurine, Phe, 0.867; Ser, Taurine, Hypro, 0.867; Asn, Gly, Taurine, 0.867; Asn, Gln, Taurine, 0.867; Gly, Gln, Taurine, 0.867; Taurine, His, Met, 0.867; Taurine, Ala, MeCys, 0.867; Taurine, Arg, GABA, 0.867; Taurine, Tyr, Orn, 0.867; Taurine, Tyr, Hypotaurine, 0.867; Taurine, Val, ADMA, 0.867; Taurine, Trp, MCSO1 / MCSO2, 0.867; Taurine, ADMA, GABA, 0.867; Taurine, Cystathionine, MCSO1, 0.867; Taurine, Tyr, Thioproline, 0.867; Taurine, bABA, N8-AcSpd, 0.867; Glu, Taurine, Put, 0.867; Asn, Taurine, N6-AcLys, 0.867; Taurine, Ala, Tyr, 0.867; Taurine, Arg, Phe, 0.867; Taurine, Arg, Trp, 0.867; Taurine, Arg, ADMA, 0.867; Taurine, Pro, MeCys, 0.867; Taurine, Val, N6-AcLys, 0.867; Taurine, Orn, Hypro, 0.867; Taurine, Lys, Ile, 0.867; Taurine, Ile, Phe, 0.867; Taurine, Ile, N6-AcLys, 0.867; Taurine, Phe, GABA, 0.867; Taurine, Phe, hArg, 0.867; Taurine, Trp, Hypro, 0.867; Taurine, Hypotaurine, MCSO1 / MCSO2, 0.867; Taurine, Hypotaurine, N6-AcLys, 0.867; Taurine, His, bAiBA, 0.867; Taurine, His, Thioproline, 0.867; Taurine, Tyr, bAiBA, 0.867; Taurine, Val, bAiBA, 0.867; Taurine, MeCys, Thioproline, 0.867; Ser, Taurine, bABA, 0.867; Ser, Taurine, Trp, 0.867; Asn, Taurine, GABA, 0.867; Gln, Taurine, Val, 0.867; Gln, Taurine, Trp, 0.867; Taurine, His, GABA, 0.867; Taurine, His, Hypro, 0.867; Taurine, Tyr, Phe, 0.867; Taurine, Tyr, GABA, 0.867; Taurine, Met, Ile, 0.867; Taurine, Orn, GABA, 0.867; Taurine, Orn, N6-AcLys, 0.867; Taurine, Lys, GABA, 0.867; taurine, hArg, MCSO1 / MCSO2, 0.867; taurine, MeCys, N8-AcSpd, 0.867; Asn, Taurine, bAiBA, 0.867; Taurine, Trp, bAiBA, 0.867; Taurine, bAiBA, Cystathionine, 0.867; Glu, Taurine, 3-MeHis, 0.867; Glu, Taurine, SDMA,. 0.867; Ser, Taurine, Arg, 0.867; Asn, Taurine, hArg, 0.867; Gly, Taurine, Hypotaurine, 0.867; Gln, Taurine, Arg, 0.867; Taurine, His, Arg, 0.867; Taurine, His, Leu, 0.867; Taurine, Cit, MCSO1, 0.867; Taurine, Arg, Hypotaurine, 0.867; Taurine, aABA, hArg, 0.867; Taurine, Met, MeCys, 0.867; Taurine, Met, N6-AcLys, 0.867; Taurine, Orn, Ile, 0.867; Taurine, Lys, ADMA, 0.867; Taurine, Leu, N8-AcSpd, 0.867; Taurine, ADMA, N6-AcLys, 0.867; Taurine, MCSO1 / MCSO2, N8-AcSpd, 0.867; Taurine, MCSO2 / MeCys, SDMA, 0.867; Taurine, bABA, bAiBA, 0.867; Taurine, Pipecolic acid, SDMA, 0.867; Taurine, Cystathionine, Sar, 0.867; Asn, Taurine, Thioproline, 0.867; Gln, Taurine, Thioproline, 0.867; Taurine, Orn, bAiBA, 0.867; Taurine, ADMA, Thioproline, 0.867; Taurine, Cit, aAAA, 0.867; Taurine, Tyr, bABA, 0.867; Taurine, Ile, bABA, 0.867; Asn, Taurine, Val, 0.866; Asn, Taurine, Hypotaurine, 0.866; Gly, Taurine, Ile, 0.866; Gly, Taurine, Trp, 0.866; Gln, Taurine, hArg, 0.866; Taurine, His, Tyr, 0.866; Taurine, His, N6-AcLys, 0.866; Taurine, Thr, Put, 0.866; Taurine, Ala, GABA, 0.866; Taurine, Arg, Hypro, 0.866; Taurine, Tyr, Trp, 0.866; Taurine, Val, Leu, 0.866; Taurine, Lys, Phe, 0.866; Taurine, Ile, Trp, 0.866; Taurine, Trp, Hypotaurine, 0.866; Taurine, Trp, MeCys, 0.866; Taurine, MCSO2, N6-AcLys, 0.866; Gly, Taurine, bAiBA, 0.866; Taurine, Arg, bAiBA, 0.866; Taurine, Met, Thioproline, 0.866; Ser, Taurine, Val, 0.866; Ser, Taurine, N6-AcLys, 0.866; Asn, Taurine, Met, 0.866; Asn, Taurine, Trp, 0.866; Gly, Taurine, N6-AcLys, 0.866; Taurine, His, Phe, 0.866; Taurine, His, ADMA, 0.866; Taurine, Ala, hArg, 0.866; Taurine, Orn, N8-AcSpd, 0.866; Taurine, Lys, MCSO2 / MeCys, 0.866; Taurine, Lys, MeCys, 0.866; Taurine, Leu, MCSO1 / MCSO2, 0.866; Taurine, hArg, Hypro, 0.866; Taurine, 3-MeHis, Pipecolic acid, 0.866; Taurine, Kyn / BCAA, PEA, 0.866; Taurine, Ala, Thioproline, 0.866; Taurine, Phe, bAiBA, 0.866; Asn, Taurine, bABA, 0.866; Gly, Taurine, bABA, 0.866; Taurine, Val, bABA, 0.866; Taurine, bABA, Hypotaurine, 0.866; Ser, Taurine, hArg, 0.866; Ser, Taurine, Hypotaurine, 0.866; Ser, Taurine, MeCys, 0.866; Gly, Taurine, Hypro, 0.866; Taurine, His, Trp, 0.866; Taurine, Tyr, Lys, 0.866; Taurine, Tyr, Leu, 0.866; Taurine, Met, hArg, 0.866; Taurine, Orn, ADMA, 0.866; Taurine, Phe, MCSO2 / MeCys, 0.866; Taurine, Trp, N6-AcLys, 0.866; Taurine, 3-MeHis, MCSO2 / MeCys, 0.866; Taurine, MCSO1, MCSO1 / MCSO2, 0.866; Gly, Taurine, Thioproline, 0.866; Taurine, bABA, N6-AcLys, 0.866; Asn, Taurine, MeCys, 0.866; Gly, Taurine, Val, 0.866; Taurine, Arg, Val, 0.866; Taurine, Val, Phe, 0.866; Taurine, Val, MeCys, 0.866; Taurine, Met, ADMA, 0.866; Taurine, Lys, Hypro, 0.866; Taurine, Leu, Trp, 0.866; Taurine, Cystathionine, MCSO2 / MeCys, 0.866; Taurine, Hypro, MeCys, 0.866; Taurine, bAiBA, N6-AcLys, 0.866; Taurine, Arg, bABA, 0.866; Taurine, bABA, hArg, 0.866; Taurine, bABA, MeCys, 0.866; Asn, Taurine, Lys, 0.865; Asn, Taurine, Phe, 0.865; Asn, Taurine, Hypro, 0.865; Gly, Taurine, Orn, 0.865; Gly, Taurine, Phe, 0.865; Taurine, His, Val, 0.865; Taurine, Thr, N8-AcSpd, 0.865; Taurine, Ala, Trp, 0.865; Taurine, aABA, Tyr, 0.865; Taurine, aABA, Phe, 0.865; Taurine, Tyr, Val, 0.865; Taurine, Tyr, MeCys, 0.865; Taurine, Val, Hypro, 0.865; Taurine, Ile, MCSO1 / MCSO2, 0.865; Taurine, Leu, hArg, 0.865; Taurine, Phe, MeCys, 0.865; Taurine, Trp, hArg, 0.865; Taurine, hArg, N8-AcSpd, 0.865; Taurine, Hypro, MCSO1 / MCSO2, 0.865; Taurine, N6-AcLys, N8-AcSpd, 0.865; Taurine, Val, Thioproline, 0.865; Gln, Taurine, bABA, 0.865; Taurine, bABA, Hypro, 0.865; Ser, Taurine, Met, 0.865; Asn, Taurine, Ile, 0.865; Gly, Taurine, Arg, 0.865; Gly, Taurine, hArg, 0.865; Gly, Taurine, MCSO1 / MCSO2, 0.865; Gly, Taurine, MeCys, 0.865; Taurine, Ala, Arg, 0.865; Taurine, Ala, ADMA, 0.865; Taurine, Arg, MeCys, 0.865; Taurine, Val, Ile, 0.865; Taurine, Met, MCSO2 / MeCys, 0.865; Taurine, Orn, MeCys, 0.865; Taurine, Lys, MCSO1 / MCSO2, 0.865; Taurine, Kyn / Trp, N6-AcLys, 0.865; Taurine, Arg, Thioproline, 0.865; Ser, Taurine, MCSO1 / MCSO2, 0.865; Asn, Taurine, Arg, 0.865; Gln, Taurine, Orn, 0.865; Taurine, His, Ala, 0.865; Taurine, Ala, Met, 0.865; Taurine, Cit, MCSO2 / MeCys, 0.865; Taurine, aABA, MCSO1 / MCSO2, 0.865; Taurine, aABA, MeCys, 0.865; Taurine, Val, MCSO2 / MeCys, 0.865; Taurine, Met, Hypro, 0.865; Taurine, Orn, Phe, 0.865; Taurine, Ile, MeCys, 0.865; Taurine, Leu, Hypro, 0.865; Taurine, hArg, MCSO2 / MeCys, 0.865; Taurine, Trp, Thioproline, 0.865; Taurine, aAAA, MCSO2, 0.865; Taurine, His, bABA, 0.865; Taurine, Trp, bABA, 0.865; Taurine, His, hArg, 0.865; Taurine, Thr, Cit, 0.865; Taurine, Ala, Ile, 0.865; Taurine, Ala, MCSO2 / MeCys, 0.865; Taurine, Arg, Met, 0.865; Taurine, Arg, MCSO1 / MCSO2, 0.865; Taurine, Pro, ADMA, 0.865; Taurine, aABA, Hypro, 0.865; Taurine, Val, Met, 0.865; Taurine, Val, Orn, 0.865; Taurine, Met, Trp, 0.865; Taurine, Met, Hypotaurine, 0.865; Taurine, Leu, N6-AcLys, 0.865; Taurine, Phe, MCSO1, 0.865; Taurine, bAiBA, Thioproline, 0.865; Ser, Taurine, Thioproline, 0.865; Taurine, Ala, bAiBA, 0.865; Taurine, Pro, Thioproline, 0.865; Taurine, N6-AcLys, Thioproline, 0.865; Taurine, N8-AcSpd, Thioproline, 0.865; Taurine, bABA, MCSO2 / MeCys, 0.865; Ser, Taurine, aABA, 0.864; Gln, Taurine, Met, 0.864; Taurine, His, Thr, 0.864; Taurine, His, MeCys, 0.864; Taurine, Pro, Met, 0.864; Taurine, Tyr, MCSO2 / MeCys, 0.864; Taurine, Val, MCSO1 / MCSO2, 0.864; Taurine, Met, Lys, 0.864; Taurine, Orn, Trp, 0.864; Taurine, Phe, Trp, 0.864; Taurine, Cystathionine, N6-AcLys, 0.864; Taurine, N6-AcLys, Sar, 0.864; Taurine, aABA, Thioproline, 0.864; Taurine, Met, bAiBA, 0.864; Taurine, Orn, Thioproline, 0.864; Taurine, Ile, Thioproline, 0.864; Taurine, Hypro, Thioproline, 0.864; Asn, Taurine, Pro, 0.864; Gly, Taurine, His, 0.864; Gly, Taurine, MCSO2 / MeCys, 0.864; Taurine, His, Orn, 0.864; Taurine, Ala, Orn, 0.864; Taurine, Ala, Hypotaurine, 0.864; Taurine, Arg, aABA, 0.864; Taurine, Leu, Hypotaurine, 0.864; Taurine, Phe, N6-AcLys, 0.864; Taurine, Hypro, N6-AcLys, 0.864; Taurine, MCSO2 / MeCys, Thioproline, 0.864; Taurine, Sar, Thioproline, 0.864; Taurine, Cit, Sar, 0.864; Glu, Taurine, MeCys, 0.864; Ser, Taurine, Ala, 0.864; Ser, Taurine, Orn, 0.864; Gln, Taurine, Pro, 0.864; Taurine, His, Pro, 0.864; Taurine, Ala, MCSO1 / MCSO2, 0.864; Taurine, Pro, Leu, 0.864; Taurine, Met, Orn, 0.864; Taurine, Orn, Hypotaurine, 0.864; Taurine, Orn, MCSO1 / MCSO2, 0.864; Taurine, N6-AcLys, SDMA, 0.864; Taurine, Cysteic acid, Kyn / BCAA, 0.864; Taurine, Leu, Thioproline, 0.864; Taurine, bAiBA, MeCys, 0.864; Taurine, Hypotaurine, Thioproline, 0.864; Taurine, Met, bABA, 0.864; Taurine, bABA, MCSO1 / MCSO2, 0.864; Glu, Taurine, N8-AcSpd, 0.864; Asn, Taurine, aABA, 0.864; Gly, Taurine, Ala, 0.864; Gln, Taurine, MCSO1 / MCSO2, 0.864; Taurine, Thr, MCSO2 / MeCys, 0.864; Taurine, Ala, N6-AcLys, 0.864; Taurine, Ala, N8-AcSpd, 0.864; Taurine, Pro, Phe, 0.864; Taurine, Pro, Trp, 0.864; Taurine, Pro, hArg, 0.864; Taurine, Tyr, MCSO1, 0.864; Taurine, Orn, hArg, 0.864; Taurine, Hypotaurine, MCSO2, 0.864; Taurine, Kyn, N6-AcLys, 0.864; Taurine, MCSO1, MeCys, 0.864; Taurine, MCSO2, Sar, 0.864; Taurine, bABA, Thioproline, 0.864; Taurine, MCSO2, Pipecolic acid, 0.864; Ser, Taurine, Pro, 0.864; Ser, Taurine, Leu, 0.864; Gly, Taurine, Met, 0.864; Gln, Taurine, MeCys, 0.864; Taurine, Thr, N6-AcLys, 0.864; Taurine, Ala, Val, 0.864; Taurine, Ala, Hypro, 0.864; Taurine, Arg, Orn, 0.864; Taurine, Pro, Hypotaurine, 0.864; Taurine, aABA, Met, 0.864; Taurine, Tyr, Met, 0.864; Taurine, Met, Phe, 0.864; Taurine, Trp, MCSO2 / MeCys, 0.864; Taurine, Hypro, MCSO2 / MeCys, 0.864; Taurine, MCSO1 / MCSO2, MCSO2 / MeCys, 0.864; Taurine, MCSO1 / MCSO2, N6-AcLys, 0.864; Taurine, aAAA, Cystathionine, 0.863; Taurine, aAAA, MCSO2 / MeCys, 0.863; Asn, Taurine, Ala, 0.863; Asn, Taurine, Orn, 0.863; Gln, Taurine, His, 0.863; Gln, Taurine, Ala, 0.863; Gln, Taurine, Leu, 0.863; Taurine, Thr, GABA, 0.863; Taurine, Ala, aABA, 0.863; Taurine, Arg, Leu, 0.863; Taurine, aABA, Trp, 0.863; Taurine, MeCys, N6-AcLys, 0.863; Gln, taurine, aAAA, 0.863; Gln, Taurine, aABA, 0.863; Taurine, Ala, Phe, 0.863; Taurine, Pro, Tyr, 0.863; Taurine, aABA, ADMA, 0.863; Taurine, Leu, MCSO1, 0.863; Taurine, GABA, MCSO1, 0.863; Taurine, Lys, Thioproline, 0.863; taurine, bAiBA, hArg, 0.863; Taurine, bAiBA, MCSO1 / MCSO2, 0.863; Glu, Taurine, Cit, 0.863; Asn, Taurine, Leu, 0.863; Asn, Taurine, MCSO2 / MeCys, 0.863; Gln, taurine, MCSO2 / MeCys, 0.863; Taurine, Arg, MCSO2 / MeCys, 0.863; Taurine, Met, Leu, 0.863; Taurine, Light, hArg, 0.863; Taurine, Ile, MCSO2 / MeCys, 0.863; taurine, hArg, MCSO1, 0.863; Taurine, bAiBA, MCSO1, 0.863; Taurine, His, aAAA, 0.863; Taurine, Tyr, aAAA, 0.863; Taurine, Cysteic acid, hArg, 0.863; Gly, Taurine, Pro, 0.863; Gly, Taurine, Leu, 0.863; Taurine, Arg, Pro, 0.863; Taurine, aABA, Hypotaurine, 0.863; Taurine, Orn, MCSO2 / MeCys, 0.863; Taurine, Leu, ADMA, 0.863; Taurine, God, mother, 0.863; Taurine, Pro, bABA, 0.863; Taurine, Orn, father,863; Taurine, Kyn / Trp, Pipecolic acid, 0.862; Taurine, GABA, Sar, 0.862; Taurine, MeCys, Sar, 0.862; Taurine, aABA, bAiBA, 0. 862; Taurine, Arg, Lys, 0.862; Taurine, Pro, Val, 0.862; Taurine, aABA, Val, 0.862; Taurine, aABA, Ile, 0.862; Taurine, Leu, bABA, 0.862; Taurine, PEA, SDMA, 0.862; Taurine, Pro, bAiBA, 0.862; Taurine, MCSO1, Thioproline, 0.862; Ser, Taurine, MCSO2 / MeCys, 0.862; Taurine, His, aABA, 0.862; Taurine, Ala, Leu, 0.862; Taurine, Pro, Orn, 0.862; Taurine, Pro, Hypro, 0.862; Taurine, aABA, N6-AcLys, 0.862; Taurine, MCSO2 / MeCys, N8-AcSpd, 0.862; Taurine, Cysteic acid, Put, 0.862; Taurine, 3-MeHis, PEA, 0.862; Taurine, Thr, Thioproline, 0.862; Glu, Taurine, Cystathionine, 0.862; Glu, Taurine, GABA, 0.862; Taurine, His, MCSO1 / MCSO2, 0.862; Taurine, Thr, hArg, 0.862; Taurine, aABA, MCSO2 / MeCys, 0.862; Taurine, Ile, MCSO1, 0.862; Taurine, Leu, MCSO2 / MeCys, 0.862; Taurine, Hypro, MCSO1, 0.862; Taurine, MCSO1, MCSO2 / MeCys, 0.862; Taurine, aABA, bABA, 0.862; Taurine, Pipecolic acid, Put, 0.862; Taurine, Leu, bAiBA, 0.862; Asn, Taurine, Thr, 0.862; Gly, Taurine, aABA, 0.862; Taurine, Thr, Arg, 0.862; Taurine, Pro, Ile, 0.862; Taurine, aABA, Lys, 0.862; taurine, bAiBA, MCSO2 / MeCys, 0.861; Gln, taurine, MCSO1, 0.861; Taurine, His, Lys, 0.861; Taurine, Thr, God, 0.861; Taurine, Pro, GABA, 0.861; Taurine, aAAA, ADMA, 0.861; Taurine, Met, Sar, 0.861; Taurine, Hypotaurine, Sar, 0.861; Asn, taurine, MCSO1 / MCSO2, 0.861; Taurine, Met, MCSO1 / MCSO2, 0.861; Taurine, Lys, Leu, 0.861; Taurine, MCSO2 / MeCys, N6-AcLys, 0.861; Ser, Taurine, aAAA, 0.861; Taurine, ADMA, Sar, 0.861; Taurine, bAiBA, Sar, 0.861; Taurine, aABA, Orn, 0.861; Taurine, Lys, Trp, 0.861; Taurine, Lys, bAiBA, 0.861; Taurine, Kyn, Pipecolic acid, 0.861; Taurine, Ile, aAAA, 0.861; Taurine, Phe, aAAA, 0.861; Taurine, aAAA, Hypro, 0.861; gly, taurine, MCSO1, 0.861; Taurine, Thr, Val, 0.861; Taurine, Thr, ADMA, 0.861; Taurine, Thr, Hypro, 0.861; Taurine, Pro, N8-AcSpd, 0.861; Taurine, aABA, MCSO1, 0.861; Taurine, Val, Light, 0.861; Taurine, Orn, Leu, 0.861; Taurine, aAAA, bAiBA, 0.861; Taurine, Arg, Sar,86; Glu, Taurine, Thioproline, 0.86; Ser, Taurine, MCSO1, 0.86; Taurine, Val, MCSO1, 0.86; Taurine, Orn, Lys, 0.86; Taurine, Orn, MCSO1, 0.86; Taurine, ADMA, MCSO2 / MeCys, 0.86; Taurine, Cysteic acid, Kyn, 0.86; Taurine, Trp, Sar, 0.86; Taurine, Lys, bABA, 0.86; Taurine, aAAA, Put, 0.86; Ser, Taurine, Sar, 0.86; Glu, Taurine, aABA, 0.86; Glu, Taurine, Tyr, 0.86; Taurine, Thr, aABA, 0.86; Taurine, Thr, Orn, 0.86; Taurine, Thr, Trp, 0.86; Taurine, Arg, MCSO1, 0.86; Taurine, Val, aAAA, 0.86; Taurine, aAAA, GABA, 0.86; Gly, Taurine, Lys, 0.86; Taurine, His, MCSO2 / MeCys, 0.86; Taurine, Thr, Tyr, 0.86; Taurine, Ala, Pro, 0.86; Taurine, aABA, Leu, 0.86; Taurine, Met, MCSO1, 0.86; Taurine, Lys, Hypotaurine, 0.86; Taurine, aAAA, MCSO1 / MCSO2, 0.859; Taurine, aAAA, Thioproline, 0.859; Glu, Taurine, ADMA, 0.859; Ser, Taurine, Lys, 0.859; Taurine, Cit, N6-AcLys, 0.859; Taurine, Cit, Pipecolic acid, 0.859; Taurine, bABA, MCSO1, 0.859; Asn, Taurine, aAAA, 0.859; Taurine, Trp, aAAA, 0.859; Taurine, aAAA, N6-AcLys, 0.859; Taurine, Kyn / Trp, PEA, 0.859; Taurine, Thr, bAiBA, 0.859; Taurine, Pro, MCSO2 / MeCys, 0.859; Taurine, Hypotaurine, MCSO1, 0.859; Taurine, Hypotaurine, MCSO2 / MeCys, 0.859; Taurine, Hypotaurine, MeCys, 0.859; 1-MeHis, N8-AcSpd, Spd, 0.859; Glu, Taurine, bABA, 0.859; Taurine, Cysteic acid, MCSO2 / MeCys, 0.859; Taurine, Cysteic acid, SDMA, 0.859; Taurine, Tyr, Sar, 0.859; Taurine, Phe, Sar, 0.859; Taurine, Thr, Pro, 0.859; Taurine, Thr, Phe, 0.859; Taurine, Thr, Hypotaurine, 0.859; Taurine, Thr, MCSO1 / MCSO2, 0.859; Taurine, Ala, Lys, 0.859; Taurine, Pro, aABA, 0.859; Taurine, ADMA, MCSO1, 0.859; Taurine, Thr, bABA, 0.859; Taurine, Kyn, PEA, 0.859; Glu, Gly, Taurine, 0.859; Glu, Taurine, Phe, 0.859; Taurine, Pro, MCSO1 / MCSO2, 0.859; Taurine, Lys, MCSO1, 0.859; Gln, Taurine, Sar, 0.859; Taurine, MCSO1 / MCSO2, Sar, 0.859; Taurine, N8-AcSpd, Pipecolic acid, 0.858; Taurine, Cysteic acid, Kyn / Trp, 0.858; Taurine, Cysteic acid, MeCys, 0.858; Glu, Taurine, Arg, 0.858; Glu, Taurine, Hypro, 0.858; Asn, Taurine, MCSO1, 0.858; Taurine, His, MCSO1, 0.858; Gly, Taurine, aAAA, 0.858; Taurine, Arg, aAAA, 0.858; Taurine, Put, Sar, 0.858; Glu, Taurine, Met, 0.858; Gly, Taurine, Thr, 0.858; Taurine, Thr, Leu, 0.858; Taurine, bABA, Sar, 0.858; Taurine, Met, aAAA, 0.858; Glu, Taurine, bAiBA, 0.858; Glu, Ser, Taurine, 0.858; Glu, Taurine, Orn, 0.858; Glu, Taurine, hArg, 0.858; Taurine, Thr, Met, 0.858; Taurine, Thr, Ile, 0.858; Taurine, Pro, Lys, 0.858; Taurine, Trp, MCSO1, 0.858; Taurine, aAAA, MeCys, 0.858; Taurine, Cystathionine, Pipecolic acid, 0.858; Glu, Taurine, MCSO1 / MCSO2, 0.858; 1-MeHis, MCSO1 / MCSO2, Spd, 0.858; Taurine, Ala, aAAA, 0.857; Taurine, aAAA, Hypotaurine, 0.857; Gln, Taurine, Thr, 0.857; Taurine, aABA, Cysteic acid, 0.857; Asn, Taurine, Sar, 0.857; Gly, Taurine, Sar, 0.857; Taurine, Val, Sar, 0.857; Taurine, aAAA, bABA, 0.857; Glu, Taurine, His, 0.857; Taurine, MCSO1, N6-AcLys, 0.857; Taurine, Ile, Sar, 0.857; Glu, Asn, Taurine, 0.857; Taurine, Orn, Sar, 0.857; Taurine, aAAA, hArg, 0.857; Taurine, N8-AcSpd, PEA, 0.857; Taurine, Thr, MCSO1, 0.856; Taurine, N8-AcSpd, Sar, 0.856; Glu, Gln, Taurine, 0.856; Taurine, MCSO2, PEA, 0.856; Glu, Taurine, MCSO1, 0.856; Gln, Taurine, Lys, 0.856; Taurine, Thr, Lys, 0.856; Taurine, Orn, aAAA, 0.856; Taurine, hArg, Sar, 0.856; Taurine, Hypro, Sar, 0.856; Glu, Taurine, Trp, 0.855; Glu, Taurine, N6-AcLys, 0.855; Taurine, Ala, MCSO1, 0.855; Taurine, aABA, aAAA, 0.855; Glu, Taurine, Ile, 0.855; Ser, Taurine, Thr, 0.855; Taurine, Pipecolic acid, Thioproline, 0.855; Taurine, Trp, Pipecolic acid, 0.855; Taurine, Lys, Cysteic acid, 0.855; Taurine, Cysteic acid, N8-AcSpd, 0.855; Glu, Taurine, Lys, 0.855; Taurine, Pro, aAAA, 0.855; Taurine, aAAA, MCSO1, 0.855; Taurine, hArg, Pipecolic acid, 0.855; Taurine, Cit, PEA, 0.854; Taurine, Leu, aAAA, 0.854; Glu, Taurine, Val, 0.854; Glu, Taurine, Leu, 0.854; Taurine, Thr, Cysteic acid, 0.854; Taurine, GABA, Pipecolic acid, 0.854; Taurine, Hypotaurine, Pipecolic acid, 0.854; Taurine, Phe, Pipecolic acid, 0.853; Taurine, Ala, Sar, 0.853; Gln, Taurine, Pipecolic acid, 0.853; Taurine, His, PEA, 0.853; Glu, Taurine, Ala, 0.853; Glu, Taurine, Hypotaurine, 0.853; Taurine, Hypro, Pipecolic acid, 0.853; Taurine, bAiBA, Pipecolic acid, 0.853; Taurine, Leu, Sar, 0.853; Ser, Taurine, Pipecolic acid, 0.853; Taurine, Met, Pipecolic acid, 0.853; Taurine, Lys, Pipecolic acid, 0.853; Taurine, MeCys, Pipecolic acid, 0.853; Taurine, GABA, PEA, 0.853; Taurine, Cysteic acid, GABA, 0.853; Taurine, His, Sar, 0.852; Gly, Taurine, Pipecolic acid, 0.852; Taurine, Tyr, Pipecolic acid, 0.852; Taurine, Val, Pipecolic acid, 0.852; Taurine, PEA, Put, 0.852; Taurine, MCSO1 / MCSO2, Pipecolic acid, 0.852; Taurine, aABA, Sar, 0.852; Glu, Taurine, Thr, 0.852; Glu, Taurine, Pro, 0.852; Taurine, Ile, Pipecolic acid, 0.852; Taurine, Leu, Cysteic acid, 0.852; 1-MeHis, MCSO2, Spd, 0.852; Taurine, Thr, aAAA, 0.852; Asn, Taurine, Pipecolic acid, 0.851; Taurine, Leu, Pipecolic acid, 0.851; Taurine, ADMA, Pipecolic acid, 0.851; Taurine, hArg, PEA, 0.851; Taurine, ADMA, PEA, 0.851; Taurine, aABA, Pipecolic acid, 0.851; Taurine, His, Cysteic acid, 0.851; Taurine, MeCys, PEA, 0.851; Taurine, Pro, MCSO1, 0.851; Taurine, Cystathionine, PEA, 0.851; MCSO2, N8-AcSpd, Put, 0.851; Taurine, Pro, Sar, 0.851; Taurine, Tyr, PEA, 0.85; Taurine, MCSO2 / MeCys, PEA, 0.85; Taurine, N6-AcLys, PEA, 0.85; Taurine, Ala, Pipecolic acid, 0.85; Taurine, MCSO2 / MeCys, Pipecolic acid, 0.85; Taurine, bABA, Pipecolic acid, 0.85; Taurine, Lys, aAAA, 0.85; Taurine, Arg, PEA, 0.85; Asn, Taurine, Cysteic acid, 0.85; Taurine, Orn, Cysteic acid, 0.85; Taurine, Trp, PEA, 0.85; Taurine, Val, Cysteic acid, 0.85; Taurine, Cysteic acid, Thioproline, 0.85; Ser, Taurine, PEA, 0.85; Asn, Taurine, PEA, 0.85; Taurine, Phe, PEA, 0.849; Taurine, Hypotaurine, PEA, 0.849; Taurine, His, Pipecolic acid, 0.849; Taurine, Lys, Sar, 0.849; Taurine, Met, Cysteic acid, 0.849; Taurine, 3-MeHis, Cysteic acid, 0.849; Gln, Taurine, PEA, 0.849; Taurine, Ile, PEA, 0.849; Taurine, bAiBA, PEA, 0.849; Taurine, Arg, Pipecolic acid, 0.849; Taurine, Cystathionine, Cysteic acid, 0.849; Taurine, Thr, Sar, 0.849; 1-MeHis, Kyn / BCAA, Spd, 0.849; Gly, Taurine, PEA, 0.849; Taurine, PEA, Thioproline, 0.849; Taurine, Cit, Cysteic acid, 0.848; Taurine, Lys, PEA, 0.848; Taurine, Orn, Pipecolic acid, 0.848; Taurine, bABA, PEA, 0.848; Taurine, Tyr, Cysteic acid, 0.848; Taurine, Phe, Cysteic acid, 0.848; Taurine, N6-AcLys, Pipecolic acid, 0.848; Taurine, MCSO2 / MeCys, Sar, 0.848; Taurine, Hypro, PEA, 0.848; Taurine, Pro, Pipecolic acid, 0.847; Taurine, Ile, Cysteic acid, 0.847; Taurine, Val, PEA, 0.847; Taurine, Orn, PEA, 0.847; Taurine, MCSO1, Pipecolic acid, 0.847; Taurine, Cysteic acid, MCSO1, 0.847; Taurine, Met, PEA, 0.847; Ser, Taurine, Cysteic acid, 0.847; Gly, Taurine, Cysteic acid, 0.847; Gln, Taurine, Cysteic acid, 0.847; Taurine, aAAA, Sar, 0.847; 1-MeHis, MCSO2 / MeCys, Spd, 0.847; Taurine, Ala, Cysteic acid, 0.846; Taurine, Cysteic acid, Hypro, 0.84. 6; Taurine, Leu, PEA, 0.846; Glu, Taurine, αAAA, 0.846; Taurine, Arg, Cysteic acid, 0.846; Taurine, Trp, Cysteic acid, 0.846; Taurine, MCSO1, PEA, 0.846; Taurine, Cysteic acid, Hypotaurine, 0.846; Taurine, bABA, Cysteic acid, 0.846; Taurine, Ala, PEA, 0.845; Taurine, MCSO1, Sar, 0.845; Cit, 1-MeHis, Spd, 0.845; Taurine, Pro, PEA, 0.845; 1-MeHis, Spd, Thioproline, 0.845; Taurine, Cysteic acid, N6-AcLys, 0.845; Glu, Taurine, Sar, 0.844; Taurine, Thr, Pipecolic acid, 0.844; Taurine, bAiBA, Cysteic acid, 0.844; Taurine, ADMA, Cysteic acid, 0.844; Taurine, aAAA, Pipecolic acid, 0.844; Taurine, Pro, Cysteic acid, 0.843; Taurine, Thr, PEA, 0.843; Glu, Taurine, Cysteic acid, 0.842; Taurine, Pipecolic acid, Sar, 0.842; 1-MeHis, Kyn / Trp, Spd, 0.842; Taurine, aABA, PEA, 0.842; 1-MeHis, Kyn, Spd, 0.841; Taurine, MCSO1 / MCSO2, PEA, 0.84; 1-MeHis, Pipecolic acid, Spd, 0.84; Taurine, aAAA, Cysteic acid, 0.839; aABA, 1-MeHis, Spd, 0.839; Gln, 1-MeHis, Spd, 0.839; Glu, Taurine, Pipecolic acid, 0.839; Glu, Taurine, PEA, 0.838; 1-MeHis, hArg, Spd, 0.838; Val, 1-MeHis, Spd, 0.838; Taurine, aAAA, PEA, 0.837; Pro, 1-MeHis, Spd, 0.837; 1-MeHis, SDMA, Spd, 0.837; 1-MeHis, GABA, Spd, 0.837; Taurine, Cysteic acid, PEA, 0.837; Thr, 1-MeHis, Spd, 0.837; Ile, 1-MeHis, Spd, 0.836; MCSO1 / MCSO2, Spd, Thioproline, 0.836; His, 1-MeHis, Spd, 0.836; MCSO2, Put, Spd, 0.836; Leu, 1-MeHis, Spd, 0.835; 1-MeHis, Hypro, Spd, 0.835; MCSO2, N8-AcSpd, Spd, 0.835; Asn, 1-MeHis, Spd, 0.835; 1-MeHis, MeCys, Spd, 0.835; Kyn / BCAA, MCSO1 / MCSO2, Spd, 0.834; 1-MeHis, N6-AcLys, Spd, 0.834; 1-MeHis, bAiBA, Spd, 0.834; Met, 1-MeHis, Spd, 0.833; Trp, 1-MeHis, Spd, 0.833; 1-MeHis, Cystathionine, Spd, 0.833; MCSO2, Spd, Thioproline, 0.833; Taurine, Cysteic acid, Pipecolic acid, 0.833; Arg, 1-MeHis, Spd, 0.833; Phe, 1-MeHis, Spd, 0.833; Kyn / BCAA, MCSO2, Spd, 0.833; Ser, 1-MeHis, Spd, 0.833; Cit, Pro, Spd, 0.832; Gly, 1-MeHis, Spd, 0.832; Ala, 1-MeHis, Spd, 0.832; Taurine, PEA, Pipecolic acid, 0.832; Taurine, Cysteic acid, Sar, 0.832; Lys, MCSO2, Spd, 0.832; aAAA, N8-AcSpd, Spd, 0.832; Lys, 1-MeHis, Spd, 0.832; 1-MeHis, bABA, Spd, 0.831; 1-MeHis, 3-MeHis, Spd, 0.831; MCSO1 / MCSO2, N8-AcSpd, Spd, 0.831; 1-MeHis, ADMA, Spd, 0.831; MCSO2, Put, SDMA, 0.83; Taurine, MCSO2, Spm, 0.83; N8-AcSpd, Spd, Thioproline, 0.83; 1-MeHis, aAAA, Spd, 0.83; hArg, MCSO2, Put, 0.83; MCSO2 / MeCys, N8-AcSpd, Put, 0.829; Cit, MCSO2, Spd, 0.829; hArg, MCSO2, Spd, 0.829; MCSO2, SDMA, Spd, 0.829; 1-MeHis, MCSO1, Spd, 0.829; Kyn, MCSO1 / MCSO2, Spd, 0.829; Tyr, 1-MeHis, Spd, 0.829; MCSO2, Pipecolic acid, Spd, 0.829; MCSO1, MCSO1 / MCSO2, Spd, 0.829; N8-AcSpd, Pipecolic acid, Spd, 0.828; aABA, MCSO2, Spd, 0.828; Orn, 1-MeHis, Spd, 0.828; Kyn / Trp, MCSO 2 , Spd, 0.828; Cit, Pipecolic acid, Spd, 0.828; Ser, MCSO 2 , Spd, 0.828; MCSO 2 , MCSO 1 , Spd, 0.828; Phe, MCSO1 / MCSO2, Spd, 0.827; GABA, N8-AcSpd, Spd, 0.827; Kyn / Trp, MCSO1 / MCSO2, Spd, 0.827; SDMA, Spd, Thioproline, 0.827; Kyn, MCSO 2 , Spd, 0.827; Taurine, PEA, Sar, 0.827; Thr, MCSO2, Spd, 0.827; 1-MeHis, MCSO2, Put, 0.827; Kyn / BCAA, Spd, Thioproline, 0.826; Pipecolic acid, SDMA, Spd, 0.826; Gln, MCSO2, Spd, 0.826; MCSO2 / MeCys, N8-AcSpd, Spd, 0.826; Kyn, Spd, Thioproline, 0.826; bABA, MCSO2, Spd, 0.826; Pro, MCSO1 / MCSO2, Spd, 0.826; MCSO2, MCSO1 / MCSO2, Spd, 0.826; Leu, MCSO2, Spd, 0.826; GABA, MCSO2, Spd, 0.826; MeCys, N8-AcSpd, Put, 0.826; MeCys, N8-AcSpd, Spd, 0.826; 1-MeHis, Put, Spd, 0.825; N8-AcSpd, Put, Spd, 0.825; Thr, MCSO2 / MeCys, Spm, 0.825; Cit, Ile, Spd, 0.825; Cit, MCSO1 / MCSO2, Spd, 0.825; His, MCSO2, Spd, 0.825; Trp, MCSO2, Spd, 0.825; hArg, MeCys, Put, 0.825; Val, MCSO2, Spd, 0.824; Kyn, N8-AcSpd, Spd, 0.824; Kyn / BCAA, MCSO2, Put, 0.824; MeCys, SDMA, Spd, 0.824; Cit, Spd, Thioproline, 0.824; Trp, MCSO1 / MCSO2, Spd, 0.824; hArg, MeCys, Spd, 0.824; MCSO1 / MCSO2, Pipecolic acid, Spd, 0.824; 3-MeHis, MCSO1 / MCSO2, Spd, 0.824; Cystathionine, MCSO1 / MCSO2, Spd, 0.824; Kyn / BCAA, Pipecolic acid, Spd, 0.824; Gln, N8-AcSpd, Spd, 0.824; Cit, N8-AcSpd, Spd, 0.824; Pro, Hypro, Spd, 0.824; Ile, MCSO 2 , Spd, 0.824; Kyn / Trp, Spd, Thioproline, 0.823; Thr, MCSO 2 / MeCys, Spd, 0.823; Arg, MCSO1 / MCSO2, Spd, 0.823; Phe, MCSO 2 , Spd, 0.823; Trp, N8-AcSpd, Spd, 0.823; MCSO2, MCSO1 / MCSO2, Put, 0.823; Ile, MCSO1 / MCSO2, Spd, 0.823; Kyn / Trp, MCSO2, Put, 0.823; MCSO 2 , MCSO 2 / MeCys, Spd, 0.823; MCSO 2 , N 6 -AcLys, SDMA, 0.823; aAAA, Kyn / BCAA, Spd, 0.823; Cit, Val, Spd, 0.823; Pro, MCSO 2 , Spd, 0.823; αABA, MCSO1 / MCSO2, Spd, 0.823; Tyr, MCSO 2 , Spd, 0.823; MCSO1 / MCSO2, N6-AcLys, Spd, 0.823; bAiBA, N8-AcSpd, Spd, 0.823; Kyn / Trp, Pipecolic acid, Spd, 0.823; Lys, MCSO2 / MeCys, Spd, 0.823; ADMA, MCSO1 / MCSO2, Spd, 0.823; Glu, 1-MeHis, Spd, 0.823; Cit, Kyn / BCAA, Spd, 0.822; Tyr, MCSO1 / MCSO2, Spd, 0.822; 3-MeHis, MCSO2, Spd, 0.822; Trp, Spd, Thioproline, 0.822; aABA, MCSO2, Put, 0.822; Orn, MCSO2, Spd, 0.822; Kyn / BCAA, MeCys, Spd, 0.822; MCSO1 / MCSO2, MCSO2 / MeCys, Spd, 0.822; Hypro, MCSO2, Spd, 0.822; Hypro, N8-AcSpd, Spd, 0.822; Pro, Spd, Thioproline, 0.822; Leu, Kyn, Spd, 0.822; hArg, MCSO2 / MeCys, Spd, 0.822; MCSO2 / MeCys, MeCys, Spd, 0.822; MCSO2 / MeCys, Pipecolic acid, Spd, 0.822; GABA, MCSO1 / MCSO2, Spd, 0.822; Ser, N8-AcSpd, Spd, 0.821; Ala, MCSO1 / MCSO2, Spd, 0.821; aABA, Spd, Thioproline, 0.821; Phe, N8-AcSpd, Spd, 0.821; MCSO2, N6-AcLys, Spd, 0.821; ADMA, N8-AcSpd, Spd, 0.821; Ser, MCSO1 / MCSO2, Spd, 0.821; Arg, MCSO2, Spd, 0.821; Met, MCSO2, Spd, 0.821; Kyn / Trp, N8-AcSpd, Spd, 0.821; aAAA, Kyn, Spd, 0.821; Lys, MCSO2, Put, 0.821; Leu, SDMA, Spd, 0.821; MCSO1 / MCSO2, SDMA, Spd, 0.821; Ala, Spd, Thioproline, 0.821; bAiBA, MCSO1 / MCSO2, Spd, 0.821; aAAA, Spd, Thioproline, 0.821; Cysteic acid, MCSO1 / MCSO2, Spd, 0.821; His, Cit, Spd, 0.821; Cit, Leu, Spd, 0.821; Cystathionine, MCSO2, Spd, 0.821; Kyn / BCAA, SDMA, Spd, 0.821; Gly, MCSO2, Spd, 0.82; Leu, Spd, Thioproline, 0.82; Tyr, Pipecolic acid, Spd, 0.82; Kyn, Pipecolic acid, Spd, 0.82; Gln, Pro, Spd, 0.82; Tyr, N8-AcSpd, Spd, 0.82; 1-MeHis, Hypotaurine, Spd, 0.82; MCSO2, Put, Sar, 0.82; Gln, MCSO1 / MCSO2, Spd, 0.82; Arg, N8-AcSpd, Spd, 0.82; Leu, MCSO1 / MCSO2, Spd, 0.82; ADMA, MCSO2, Spd, 0.82; 1-MeHis, MCSO2, Spm, 0.82; Cit, MCSO2, Put, 0.82; Pro, Cystathionine, Spd, 0.82; Pipecolic acid, Spd, Thioproline, 0.82; Asn, MCSO2, Spd, 0.819; Pro, N8-AcSpd, Spd, 0.819; aABA, N8-AcSpd, Spd, 0.819; Ala, MCSO2, Spd, 0.819; Cit, ADMA, Spd, 0.819; Val, N8-AcSpd, Spd, 0.819; Cystathionine, N8-AcSpd, Spd, 0.819; MCSO2, MeCys, Spd, 0.819; N8-AcSpd, SDMA, Spd, 0.819; Tyr, Spd, Thioproline, 0.819; Ile, Spd, Thioproline, 0.819; MeCys, Spd, Thioproline, 0.819; aAAA, bAiBA, Spd, 0.819; Ala, MCSO2, Put, 0.819; Cit, Tyr, Spd, 0.819; Cit, Cystathionine, Spd, 0.819; Cit, Hypro, Spd, 0.819; Ile, N8-AcSpd, Spd, 0.819; MCSO2 / MeCys, Put, Spd, 0.819; MCSO2 / MeCys, Spd, Thioproline, 0.819; Glu, MCSO2, Spd, 0.819; His, MCSO1 / MCSO2, Spd, 0.819; Cit, Trp, Spd, 0.819; Cit, GABA, Spd, 0.819; Cit, MeCys, Spd, 0.819; Ile, Kyn, Spd, 0.819; Pro, aAAA, Spd, 0.819; Ser, Cit, Spd, 0.818; Cit, Phe, Spd, 0.818; Pro, aABA, Spd, 0.818; aABA, Kyn / BCAA, Spd, 0.818; Orn, MCSO1 / MCSO2, Spd, 0.818; bAiBA, MCSO2, Spd, 0.818; Cystathionine, Spd, Thioproline, 0.818; Val, Pipecolic acid, Spd, 0.818; aABA, aAAA, Spd, 0.818; aAAA, MCSO2, Spd, 0.818; MeCys, Put, SDMA, 0.818; MeCys, Put, Spd, 0.818; aAAA, Pipecolic acid, Spd, 0.818; Cit, 3-MeHis, Spd, 0.818; Cit, Kyn, Spd, 0.818; Val, Kyn / BCAA, Spd, 0.818; Val, MCSO1 / MCSO2, Spd, 0.818; Val, SDMA, Spd, 0.818; Ile, SDMA, Spd, 0.818; hArg, MCSO1 / MCSO2, Spd, 0.818; MCSO1 / MCSO2, Put, Spd, 0.818; Cit, aAAA, Spd, 0.818; Ile, Hypro, Spd, 0.818; Leu, Phe, Spd, 0.818; Leu, Hypro, Spd, 0.818; bABA, H8-AcSpd, Spd, 0.818; Trp, Pipecolic acid, Spd, 0.818; GABA, Pipecolic acid, Spd, 0.818; Ala, Cit, Spd, 0.818; Pro, SDMA, Spd, 0.818; Kyn, MeCys, Spd, 0.818; Asn, Spd, Thioproline, 0.817; Met, Spd, Thioproline, 0.817; N6-AcLys, N8-AcSpd, Spd, 0.817; Val, aAAA, Spd, 0.817; Cit, SDMA, Spd, 0.817; GABA, SDMA, Spd, 0.817; MCSO1 / MCSO2, MeCys, Spd, 0.817; Val, Spd, Thioproline, 0.817; Phe, Spd, Thioproline, 0.817; Cit, bABA, Spd, 0.817; aAAA, GABA, Spd, 0.817; Gly, N8-AcSpd, Spd, 0.817; Tyr, MCSO2, Put, 0.817; Orn, N8-AcSpd, Spd, 0.817; Kyn / BCAA, MCSO2 / MeCys, Spd, 0.817; Trp, aAAA, Spd, 0.817; Cit, bAiBA, Spd, 0.817; Orn, Spd, Thioproline, 0.817; Hypro, Spd, Thioproline, 0.817; bABA, MCSO1 / MCSO2, Spd, 0.817; Ile, Pipecolic acid, Spd, 0.817; Phe, Pipecolic acid, Spd, 0.817; His, MCSO2, Put, 0.817; 3-MeHis, SDMA, Spd, 0.817; Hypro, MCSO1 / MCSO2, Spd, 0.817; Gln, aAAA, Spd, 0.817; Ile, aAAA, Spd, 0.817; aAAA, Hypro, Spd, 0.817; Hypro, Pipecolic acid, Spd, 0.817; Gly, MCSO2, Put, 0.817; Gln, Kyn / BCAA, Spd, 0.817; Thr, Cit, Spd, 0.817; aABA, Trp, Spd, 0.817; Kyn / Trp, MeCys, Spd, 0.817; MCSO2, MCSO1, Put, 0.817; Ser, Spd, Thioproline, 0.816; GABA, Spd, Thioproline, 0.816; aABA, Pipecolic acid, Spd, 0.816; Leu, Pipecolic acid, Spd, 0.816; Asn, N8-AcSpd, Spd, 0.816; Gln, Leu, Spd, 0.816; Arg, MCSO2, Put, 0.816; aABA, Leu, Spd, 0.816; 3-MeHis, Spd, Thioproline,. 0.816; N6-AcLys, Spd, Thioproline, 0.816; Ser, aAAA, Spd, 0.816; aABA, Ile, Spd, 0.816; aABA, Cystathionine, Spd, 0.816; aABA, Hypro, Spd, 0.816; Phe, Kyn / BCAA, Spd, 0.816; Gender, Gender / BCAA, Spd, 0.816; ADMA, Spd, Thioproline, 0.816; bAiBA, Kyn, Spd, 0.816; 3-MeHis, aAAA, Spd, 0.816; Asn, MCSO1 / MCSO2, Spd, 0.816; Gln, Ile, Spd, 0.816; Also, Met, Spd, 0.816; aABA, Val, Spd, 0.816; aABA, Phe, Spd, 0.816; aABA, 3-MeHis, Spd, 0.816; Leu, MCSO2 / MeCys, Spd, 0.816; Cystathionine, Kyn / BCAA, Spd, 0.816; GABA, Kyn / BCAA, Spd, 0.816; MCSO2 / MeCys, MeCys, Put, 0.816; Similarly, aABA, Spd, 0.816; Pro, Kyn / BCAA, Spd, 0.816; Lys, MCSO1 / MCSO2, Spd, 0.816; Trp, Kyn / BCAA, Spd, 0.816; GABA, Kyn, Spd, 0.816; Hypro, Kyn / BCAA, Spd, 0.816; Kyn / Trp, Kyn / BCAA, Spd, 0.816; Kyn / BCAA, N8-AcSpd, Spd, 0.816; bABA, MCSO2, Put, 0.815; GABA, MCSO2 / MeCys, Spd, 0.815; Gln, Cit, Spd, 0.815; Ala, N8-AcSpd, Spd, 0.815; Pro, Leu, Spd, 0.815; Pro, MCSO2 / MeCys, Spd, 0.815; Val, Type, Spd, 0.815; Ile, Cystathionine, Spd, 0.815; Leu, N8-AcSpd, Spd, 0.815; Gln, Pipecolic acid, Spd, 0.815; Pro, Pipecolic acid, Spd, 0.815; Cystathionine, Pipecolic acid, Spd, 0.815; Gln, Spd, Thioproline, 0.815; Cysteic acid, MCSO2, Spd, 0.815; Ser, αABA, Spd, 0.815; Gln, αABA, Spd, 0.815; Cit, Orn, Spd, 0.815; Met, MCSO1 / MCSO2, Spd, 0.815; Met, N8-AcSpd, Spd, 0.815; bAiBA, Pipecolic acid, Spd, 0.815; Ser, Kyn / BCAA, Spd, 0.815; Cit, hArg, Spd, 0.815; Pro, Tyr, Spd, 0.815; Pro, Ile, Spd, 0.815; Tyr, Kyn, Spd, 0.815; Tyr, Kyn / BCAA, Spd, 0.815; Orn, MCSO2 / MeCys, Spd, 0.815; Orn, SDMA, Spd, 0.815; Ile, GABA, Spd, 0.815; Leu, Trp, Spd, 0.815; Ser, Pipecolic acid, Spd, 0.815; 3-MeHis, Pipecolic acid, Spd, 0.815; bAiBA, MCSO 2 , Put, 0.815; Cit, Kyn / Trp, Spd, 0.815; Pro, Val, Spd, 0.815; Pro, Trp, Spd, 0.815; Pro, 3-MeHis, Spd, 0.815; Val, Hypro, Spd, 0.815; Ile, 3-MeHis, Spd, 0.815; Ile, Kyn / BCAA, Spd, 0.815; Leu, Kyn / BCAA, Spd, 0.815; 3-MeHis, Kyn / BCAA, Spd, 0.815; MCSO2 / MeCys, SDMA, Spd, 0.815; Ala, Pipecolic acid, Spd, 0.814; aAAA, SDMA, Spd, 0.814; Gln, Ala, Spd, 0.814; Arg, Type, Spd, 0.814; Orn, Type, Spd, 0.814; Lys, Kyn, Spd, 0.814; Trp, MCSO2, Put, 0.814; 1-MeHis, MCSO2 / MeCys, Spm, 0.814; aAAA, Cystathionine, Spd, 0.814; aAAA, N6-AcLys, Spd, 0.814; Ser, MeCys, Spd, 0.814; Gln, Hypro, Spd, 0.814; Arg, MCSO2 / MeCys, Spd, 0.814; aABA, MeCys, Spd, 0.814; Tyr, Ile, Spd, 0.814; Phe, Kyn, Spd, 0.814; 3-MeHis, Hypro, Spd, 0.814; Cystathionine, Type, Spd, 0.814; Cystathionine, MCSO2, Put, 0.814; hArg, Spd, Thioproline, 0.814; Pro, ADMA, Spd, 0.814; Pro, GABA, Spd, 0.814; aABA, Kyn, Spd, 0.814; ADMA, Kyn / BCAA, Spd, 0.814; hArg, N8-AcSpd, Spd, 0.814; Hypotaurine, MCSO2, Spd, 0.814; aAAA, ADMA, Spd, 0.814; Asn, Pipecolic acid, Spd, 0.814; Leu, aAAA, Spd, 0.814; aAAA, MCSO1 / MCSO2, Spd, 0.814; Ser, Pro, Spd, 0.814; Gly, Cit, Spd, 0.814; Gln, Cystathionine, Spd, 0.814; Gln, Kyn, Spd, 0.814; Ala, Cystathionine, Spd, 0.814; aABA, ADMA, Spd, 0.814; Ile, Phe, Spd, 0.814; Cystathionine, Hypro, Spd, 0.814; Hypro, Type, Spd, 0.814; Hypro, N6-AcLys, Spd, 0.814; Gender, Gender / Trp, Spd, 0.814; Kyn, MCSO2 / MeCys, Spd, 0.814; Kyn, SDMA, Spd, 0.814; Arg, Spd, Thioproline, 0.813; aABA, bAiBA, Spd, 0.813; MCSO2, PEA, Put, 0.813; Ser, GABA, Spd, 0.813; Gly, SDMA, Spd, 0.813; Gln, Trp, Spd, 0.813; Ala, SDMA, Spd, 0.813; Similarly, MCSO2 / MeCys, Spd, 0.813; Pro, Type, Spd, 0.813; aABA, SDMA, Spd, 0.813; Tyr, Val, Spd, 0.813; Tyr, Hypro, Spd, 0.813; Val, Trp, Spd, 0.813; Trp, Hypro, Spd, 0.813; 3-MeHis, N8-AcSpd, Spd, 0.813; Kyn, MCSO2, Put, 0.813; Kyn / Trp, MCSO2 / MeCys, Spd, 0.813; Tyr, aAAA, Spd, 0.813; aAAA, Kyn / Trp, Spd, 0.813; bAiBA, Kyn / BCAA, Spd, 0.813; aABA, bABA, Spd, 0.813; bAiBA, Spd, Thioproline, 0.813; Ser, Gln, Spd, 0.813; Gln, His, Spd, 0.813; Gln, Val, Spd, 0.813; Gln, 3-MeHis, Spd, 0.813; His, MeCys, Spd, 0.813; His, N8-AcSpd, Spd, 0.813; 3-MeHis, Cystathionine, Spd, 0.813; MCSO2, N6-AcLys, Put, 0.813; bAiBA, SDMA, Spd, 0.813; Gln, Tyr, Spd, 0.813; His, MCSO2 / MeCys, Spd, 0.813; Tyr, Cystathionine, Spd, 0.813; Met, MCSO2 / MeCys, Spd, 0.813; Orn, Kyn / BCAA, Spd, 0.813; Leu, MCSO2, Put, 0.813; Trp, Cystathionine, Spd, 0.813; Hypro, MCSO2, Put, 0.813; Phe, aAAA, Spd, 0.813; Taurine, MCSO2 / MeCys, Spm, 0.813; Gln, bAiBA, Spd, 0.813; bABA, Spd, Thioproline, 0.813; Ser, Type, Spd, 0.813; Gln, ADMA, Spd, 0.813; Arg, Kyn / BCAA, Spd, 0.813; Pro, N6-AcLys, Spd, 0.813; Tyr, Phe, Spd, 0.813; Ile, N6-AcLys, Spd, 0.813; Phe, GABA, Spd, 0.813; GABA, Kyn / Trp, Spd, 0.813; Hypotaurine, MCSO1 / MCSO2, Spd, 0.813; Met, Pipecolic acid, Spd, 0.812; Ser, Trp, Spd, 0.812; Asn, Type, Spd, 0.812; Thr, Type, Spd, 0.812; Ile, Trp, Spd, 0.812; Leu, Cystathionine, Spd, 0.812; Leu, MeCys, Spd, 0.812; Phe, ADMA, Spd, 0.812; ADMA, Cystathionine, Spd, 0.812; GABA, MCSO2, Put, 0.812; Thr, Spd, Thioproline, 0.812; Gln, GABA, Spd, 0.812; Gln, SDMA, Spd, 0.812; Thr, SDMA, Spd, 0.812; Val, 3-MeHis, Spd, 0.812; Val, Cystathionine, Spd, 0.812; Val, GABA, Spd, 0.812; Pro, bABA, Spd, 0.812; Asn, Kyn / BCAA, Spd, 0.812; Gly, GABA, Spd, 0.812; Gln, MCSO2, Put, 0.812; aABA, Tyr, Spd, 0.812; Tyr, Trp, Spd, 0.812; Met, Type, Spd, 0.812; Orn, MCSO2, Put, 0.812; Lys, MeCys, Spd, 0.812; Ile, MCSO2, Put, 0.812; Hypotaurine, MCSO2, Put, 0.812; bABA, Pipecolic acid, Spd, 0.812; Asn, aAAA, Spd, 0.812; Gln, MeCys, Spd, 0.812; His, aABA, Spd, 0.812; Pro, Kyn / Trp, Spd, 0.812; Pro, MCSO2, Put, 0.812; Val, Ile, Spd, 0.812; Trp, Type, Spd, 0.812; MCSO2, MCSO2 / MeCys, Put, 0.812; 1-MeHis, MCSO2 / MeCys, Put, 0.812; ADMA, GABA, Spd, 0.812; Val, bAiBA, Spd, 0.812; bAiBA, Cystathionine, Spd, 0.812; bAiBA, Hypro, Spd, 0.812; MCSO2, Put, Thioproline, 0.812; aAAA, bABA, Spd, 0.811; Asn, Pro, Spd, 0.811; Gly, Kyn / BCAA, Spd, 0.811; Gln, N6-AcLys, Spd, 0.811; Tyr, 3-MeHis, Spd, 0.811; Ile, MCSO2 / MeCys, Spd, 0.811; Phe, Cystathionine, Spd, 0.811; Phe, MCSO2, Put, 0.811; 3-MeHis, GABA, Spd, 0.811; ADMA, Hypro, Spd, 0.811; Cystathionine, SDMA, Spd, 0.811; hArg, Kyn / BCAA, Spd, 0.811; Pro, bAIBA, Spd,0.811; Ile, bAIBA, Spd, 0.811; bABA, Kyn / BCAA, Spd, 0.811; bABA, MCSO2 / MeCys, Spd, 0.811; Gly, MCSO1 / MCSO2, Spd, 0.811; Ala, and ABA, Spd, 0.811; Tyr, N6-AcLys, Spd, 0.811; Val, Phe, Spd, 0.811; Lys, N8-AcSpd, Spd, 0.811; Ile, Kyn / Trp, Spd, 0.811; Leu, ADMA, Spd, 0.811; ADMA, Kyn / Trp, Spd, 0.811; ADMA, MCSO2, Put, 0.811; MCSO1, N8-AcSpd, Spd, 0.811; His, aAAA, Spd, 0.811; N6-AcLys, Pipecolic acid, Spd, 0.811; bAIBA, GABA, Spd, 0.811; bABA, GABA, Spd, 0.811; bABA, Kyn, Spd, 0.811; Ser, Ile, Spd, 0.811; Ser, Leu, Spd, 0.811; Gln, Phe, Spd, 0.811; His, Pro, Spd, 0.811; Thr, MCSO1 / MCSO2, Spd, 0.811; aABA, Met, Spd, 0.811; aABA, MCSO2 / MeCys, Spd, 0.811; Tyr, Leu, Spd, 0.811; ADMA, N6-AcLys, Spd, 0.811; Hypotaurine, Kyn / BCAA, Spd, 0.811; MCSO2 / MeCys, N6-AcLys, Spd, 0.811; Put, SDMA, Spd, 0.811; Lys, Spd, Thioproline, 0.811; Gln, bABA, Spd, 0.811; Ser, SDMA, Spd, 0.811; Thr, Cystathionine, Spd, 0.811; Ala, Pro, Spd, 0.811; Arg, Pro, Spd, 0.811; Pro, hArg, Spd, 0.811; Pro, Hypotaurine, Spd, 0.811; Tyr, MCSO2 / MeCys, Spd, 0.811; Val, ADMA, Spd, 0.811; Met, Kyn / BCAA, Spd, 0.811; Leu, 3-MeHis, Spd, 0.811; Phe, 3-MeHis, Spd, 0.811; 3-MeHis, MCSO2, Put, 0.811; Cystathionine, N6-AcLys, Spd, 0.811; MeCys, Pipecolic acid, Spd, 0.811; His, Spd, Thioproline, 0.811; bABA, Hypro, Spd, 0.81; Ser, Asn, Spd, 0.81; Cit, Lys, Spd, 0.81; Pro, Phe, Spd, 0.81; Val, Leu, Spd, 0.81; Met, Leu, Spd, 0.81; Leu, GABA, Spd, 0.81; Phe, Trp, Spd, 0.81; Trp, 3-MeHis, Spd, 0.81; Trp, Kyn / Trp, Spd, 0.81; Trp, SDMA, Spd, 0.81; Hypro, MCSO2 / MeCys, Spd, 0.81; MCSO1, MCSO2 / MeCys, Spd, 0.81; MeCys, N6-AcLys, Spd, 0.81; N6-AcLys, SDMA, Spd, 0.81; Gly, Spd, Thioproline, 0.81; Tyr, bAiBA, Spd, 0.81; Trp, bAiBA, Spd, 0.81; Ile, bABA, Spd, 0.81; Glu, N8-AcSpd, Spd, 0.81; His, Phe, Spd, 0.81; Val, MeCys, Spd, 0.81; Phe, Hypro, Spd, 0.81; Phe, SDMA, Spd, 0.81; 3-MeHis, Kyn, Spd, 0.81; MCSO2, MeCys, Put, 0.81; Sar, SDMA, Spd, 0.81; Ser, Cystathionine, Spd, 0.81; Ser, Hypro, Spd, 0.81; Ala, MCSO2 / MeCys, Spd, 0.81; Arg, aABA, Spd, 0.81; Val, N6-AcLys, Spd, 0.81; Met, SDMA, Spd, 0.81; Trp, GABA, Spd, 0.81; ADMA, SDMA, Spd, 0.81; Cystathionine, GABA, Spd, 0.81; bABA, MCSO2, Spm, 0.81; Phe, bAiBA, Spd, 0.81; 3-MeHis, bAiBA, Spd, 0.81; Glu, MCSO2, Put, 0.81; Ser, Tyr, Spd, 0.81; Ser, MCSO2, Put, 0.81; Ser, MCSO2 / MeCys, Spd, 0.81; Gly, aABA, Spd, 0.81; Gly, Kyn, Spd, 0.81; His, Cystathionine, Spd, 0.81; Thr, MCSO2, Put, 0.81; Thr, N8-AcSpd, Spd, 0.81; Ala, Kyn, Spd, 0.81; Val, Kyn / Trp, Spd, 0.81; Val, MCSO2, Put, 0.81; Hypro, Kyn / Trp, Spd, 0.81; MCSO1, MeCys, Spd, 0.81; Cysteic acid, MCSO2, Put, 0.81; Orn, Pipecolic acid, Spd, 0.809; Glu, MCSO1 / MCSO2, Spd, 0.809; Asn, Val, Spd, 0.809; Gly, Pro, Spd, 0.809; Cit, N6-AcLys, Spd, 0.809; Phe, MCSO2 / MeCys, Spd, 0.809; Hypro, SDMA, Spd, 0.809; Ser, bAiBA, Spd, 0.809; Put, Spd, Thioproline, 0.809; ADMA, Pipecolic acid, Spd, 0.809; Ser, Val, Spd, 0.809; Ser, ADMA, Spd, 0.809; Tyr, SDMA, Spd, 0.809; Orn, Kyn / Trp, Spd, 0.809; 1-MeHis,. Cysteic acid, Spd, 0.809; Ala, aAAA, Spd, 0.809; Val, bABA, Spd, 0.809; Thr, Pipecolic acid, Spd, 0.809; Ser, 3-MeHis, Spd, 0.809; Asn, Hypro, Spd, 0.809; Ala, Kyn / BCAA, Spd, 0.809; aABA, GABA, Spd, 0.809; Met, Hypro, Spd, 0.809; Orn, Phe, Spd, 0.809; Ile, ADMA, Spd, 0.809; ADMA, Kyn, Spd, 0.809; Kyn / Trp, SDMA, Spd, 0.809; Asn, His, Spd, 0.809; Asn, aABA, Spd, 0.809; Asn, MCSO2, Put, 0.809; Thr, MeCys, Spd, 0.809; Ala, Hypro, Spd, 0.809; Cit, hArg, MCSO2, 0.809; aABA, N6-AcLys, Spd, 0.809; Tyr, ADMA, Spd, 0.809; Tyr, GABA, Spd, 0.809; Met, MCSO2, Put, 0.809; Phe, MeCys, Spd, 0.809; Trp, ADMA, Spd, 0.809; Trp, MCSO2 / MeCys, Spd, 0.809; Cystathionine, MCSO2 / MeCys, Spd, 0.809; Hypotaurine, N8-AcSpd, Spd, 0.809; Met, aAAA, Spd, 0.809; Trp, bABA, Spd, 0.808; bABA, N6-AcLys, Spd, 0.808; His, GABA, Spd, 0.808; Met, Kyn / Trp, Spd, 0.808; Ile, MeCys, Spd, 0.808; Hypro, MeCys, Spd, 0.808; His, Pipecolic acid, Spd, 0.808; 1-MeHis, Kyn / BCAA, PEA, 0.808; Ser, Kyn / Trp, Spd, 0.808; Asn, Leu, Spd, 0.808; Gln, Kyn / Trp, Spd, 0.808; Gln, MCSO2 / MeCys, Spd, 0.808; His, Kyn / BCAA, Spd, 0.808; Val, MCSO2 / MeCys, Spd, 0.808; 3-MeHis, ADMA, Spd, 0.808; Cystathionine, MeCys, Spd, 0.808; hArg, Pipecolic acid, Spd, 0.808; MCSO2, Pipecolic acid, Put, 0.808; Thr, MCSO2, Spm, 0.808; bAiBA, N6-AcLys, Spd, 0.808; His, hArg, Spd, 0.808; Ala, Trp, Spd, 0.808; aABA, Kyn / Trp, Spd, 0.808; Tyr, Kyn / Trp, Spd, 0.808; bABA, SDMA, Spd, 0.808; Gly, Pipecolic acid, Spd, 0.808; Ser, Phe, Spd, 0.808; Asn, Thr, Spd, 0.808; Asn, Trp, Spd, 0.808; Gly, Val, Spd, 0.808; Pro, Met, Spd, 0.808; Pro, Orn, Spd, 0.808; Leu, bAiBA, Spd, 0.808; Asn, Met, Spd, 0.807; Asn, Ile, Spd, 0.807; His, Kyn, Spd, 0.807; Thr, Kyn / Trp, Spd, 0.807; Ala, Ile, Spd, 0.807; Ala, ADMA, Spd, 0.807; Pro, hArg, MCSO2, 0.807; Lys, SDMA, Spd, 0.807; ADMA, MCSO2 / MeCys, Spd, 0.807; hArg, Hypro, Spd, 0.807; Kyn / BCAA, N6-AcLys, Spd, 0.807; MCSO1 / MCSO2, MCSO2 / MeCys, Put, 0.807; Gly, aAAA, Spd, 0.807; MCSO2, PEA, Spm, 0.807; MCSO1, Spd, Thioproline, 0.807; His, Hypro, Spd, 0.807; Lys, MCSO2 / MeCys, Put, 0.807; Leu, N6-AcLys, Spd, 0.807; Trp, MeCys, Spd, 0.807; Trp, N6-AcLys, Spd, 0.807; MCSO1, MCSO1 / MCSO2, Put, 0.807; Asn, MeCys, Spd, 0.807; Gly, hArg, MCSO 2 , 0.807; Gly, Kyn / Trp, Spd, 0.807; Gln, Lys, Spd, 0.807; Gln, hArg, Spd, 0.807; Thr, Kyn / BCAA, Spd, 0.807; Area, Leu, Spd, 0.807; Arg, Val, Spd, 0.807; Arg, Leu, Spd, 0.807; Tyr, MeCys, Spd, 0.807; ADMA, MeCys, Spd, 0.807; Cystathionine, Kyn / Trp, Spd, 0.807; GABA, MeCys, Spd, 0.807; MCSO1, SDMA, Spd, 0.807; bABA, Cystathionine, Spd, 0.807; Asn, Phe, Spd, 0.807; Asn, 3-MeHis, Spd, 0.807; Asn, ADMA, Spd, 0.807; Gly, Ile, Spd, 0.807; Ala, 3-MeHis, Spd, 0.807; Ala, Kyn / Trp, Spd, 0.807; Ile, Leu, Spd, 0.807; Phe, Kyn / Trp, Spd, 0.807; 1-MeHis, MCSO2, PEA, 0.807; Lys, Pipecolic acid, Spd, 0.807; Arg, aAAA, Spd, 0.807; Asn, Cit, Spd, 0.807; Asn, MCSO2 / MeCys, Spd, 0.807; Gly, Phe, Spd, 0.807; His, 3-MeHis, Spd, 0.807; Cit, Hypotaurine, Spd, 0.807; Hypotaurine, Pipecolic acid, Spd, 0.806; bAiBA, Kyn / Trp, Spd, 0.806; Ser, N6-AcLys, Spd, 0.806; Asn, GABA, Spd, 0.806; Gly, Leu, Spd, 0.806; Gly, Hypro, Spd, 0.806; Ala, Tyr, Spd, 0.806; Ala, Val, Spd, 0.806; Ala, hArg, Spd, 0.806; Met, MeCys, Spd, 0.806; 3-MeHis, MCSO2 / MeCys, Spd, 0.806; hArg, Type, Spd, 0.806; Kyn / Trp, MCSO2, N6-AcLys, 0.806; bABA, MeCys, Spd, 0.806; Glu, Kyn / BCAA, Spd, 0.806; Gly, MeCys, Spd, 0.806; Gln, Hypotaurine, Spd, 0.806; His, Arg, Spd, 0.806; His, Trp, Spd, 0.806; His, ADMA, Spd, 0.806; Thr, MCSO2 / MeCys, Put, 0.806; Met, GABA, Spd, 0.806; Kyn / BCAA, Put, Spd, 0.806; Glu, Spd, Thioproline, 0.806; Ser, Ala, Spd, 0.806; Asn, Tyr, Spd, 0.806; Ala, Phe, Spd, 0.806; Arg, GABA, Spd, 0.806; aABA, Orn, Spd, 0.806; aABA, HARG, Spd, 0.806; Lys, Phe, Spd, 0.806; 3-MeHis, MeCys, Spd, 0.806; Tyr, bABA, Spd, 0.806; GABA, N6-AcLys, Spd, 0.806; bABA, bABA, Spd, 0.806; MCSO2, Sar, Spd, 0.806; Ser, Gly, Spd, 0.806; Gly, MCSO2 / MeCys, Spd, 0.806; Gln, Met, Spd, 0.806; His, Val, Spd, 0.806; GABA, HARG, Spd, 0.806; Leu, bABA, Spd, 0.805; ADMA, bAiBA, Spd, 0.805; Glu, MCSO2 / MeCys, Spd, 0.805; Ser, His, Spd, 0.805; Gly, Cystathionine, Spd, 0.805; Arg, 3-MeHis, Spd, 0.805; Leu, hArg, Spd, 0.805; Leu, Kyn / Trp, Spd, 0.805; ADMA, hArg, Spd, 0.805; Asn, bAiBA, Spd, 0.805; Ser, Met, Spd, 0.805; Asn, Gln, Spd, 0.805; His, Ile, Spd, 0.805; Ala, MeCys, Spd, 0.805; Arg, Hypro, Spd, 0.805; Val, Met, Spd, 0.805; hArg, MCSO2, MCSO1 / MCSO2, 0.805; Phe, bABA, Spd, 0.805; 3-MeHis, bABA, Spd, 0.805; aAAA, MeCys, Spd, 0.805; MCSO2, Sar, Spm, 0.805; Met, 3-MeHis, Spd, 0.805; Orn, Cystathionine, Spd, 0.805; hArg, Kyn / Trp, Spd, 0.805; Ser, bABA, Spd, 0.805; Asn, Cystathionine, Spd, 0.805; Asn, N6-AcLys, Spd, 0.805; Gly, Trp, Spd, 0.805; Gly, 3-MeHis, Spd, 0.805; His, Leu, Spd, 0.805; Arg, Cystathionine, Spd, 0.805; aABA, Hypotaurine, Spd, 0.805; aABA, MCSO1, Spd, 0.805; Val, hArg, Spd, 0.805; Orn, ADMA, Spd, 0.805; Trp, hArg, Spd, 0.805; hArg, N6-AcLys, Spd, 0.805; MeCys, N6-AcLys, SDMA, 0.805; Ala, bAiBA, Spd, 0.804; Hypotaurine, Spd, Thioproline, 0.804; Gly, ADMA, Spd, 0.804; Cit, Arg, Spd, 0.804; Orn, 3-MeHis, Spd, 0.804; Orn, MeCys, Spd, 0.804; Lys, Kyn / BCAA, Spd, 0.804; GABA, Hypro, Spd, 0.804; Kyn / BCAA, MCSO1, Spd, 0.804; Asn, bABA, Spd, 0.804; bABA, Kyn / Trp, Spd, 0.804; bAiBA, MCSO 2 / MeCys, Spd, 0.804; Asn, Kyn / Trp, Spd, 0.804; Asn, SDMA, Spd, 0.804; Gly, Gln, Spd, 0.804; His, Met, Spd, 0.804; Area, Met, Spd, 0.804; Arg, Tyr, Spd, 0.804; Arg, Met, Spd, 0.804; Arg, hArg, Spd, 0.804; Pro, MeCys, Spd, 0.804; Met, Cystathionine, Spd, 0.804; Met, N6-AcLys, Spd, 0.804; Phe, N6-AcLys, Spd, 0.804; Kyn / Trp, Put, Spd, 0.804; Arg, bAiBA, Spd, 0.804; Ser, Arg, Spd, 0.804; His, N6-AcLys, Spd, 0.804; Thr, Hypro, Spd, 0.804; Arg, N6-AcLys, Spd, 0.804; Orn, GABA, Spd, 0.804; Lys, hArg, MCSO2, 0.804; Ile, Hypotaurine, Spd, 0.804; 3-MeHis, Hypotaurine, Spd, 0.804; Lys, 1-MeHis, MCSO2, 0.804; 1-MeHis, PEA, Spd, 0.804; Gly, Tyr, Spd, 0.804; His, Tyr, Spd, 0.804; Arg, Ile, Spd, 0.804; Arg, MeCys, Spd, 0.804; Arg, SDMA, Spd, 0.804; Tyr, Hypotaurine, Spd, 0.804; Lys, 3-MeHis, Spd, 0.804; Phe, hArg, Spd, 0.804; Cystathionine, hArg, Spd, 0.804; Taurine, MeCys, Spm, 0.803; aAAA, MCSO1, Spd, 0.803; Asn, Arg, Spd, 0.803; Thr, Arg, Spd, 0.803; Arg, ADMA, Spd, 0.803; Tyr, Orn, Spd, 0.803; Val, Hypotaurine, Spd, 0.803; Met, ADMA, Spd, 0.803; Kyn, N6-AcLys, Spd, 0.803; Ala, bABA, Spd, 0.803; Ser, Orn, Spd, 0.803; Gln, Orn, Spd, 0.803; Cit, Lys, MCSO2, 0.803; Orn, Ile, Spd, 0.803; Orn, Trp, Spd, 0.803; 3-MeHis, N6-AcLys, Spd, 0.803; hArg, SDMA, Spd, 0.803; Kyn / Trp, MeCys, Put, 0.803; MCSO2 / MeCys, Put, SDMA, 0.803; His, bABA, Spd, 0.803; ADMA, bABA, Spd, 0.803; Arg, Pipecolic acid, Spd, 0.803; aAAA, MCSO2 / MeCys, Spd, 0.803; Gly, N6-AcLys, Spd, 0.803; Thr, GABA, Spd, 0.803; Tyr, hArg, Spd, 0.803; Val, Orn, Spd, 0.803; Ile, hArg, Spd, 0.803; 3-MeHis, hArg, Spd, 0.803; hArg, MCSO2 / MeCys, Put, 0.803; bAiBA, Hypotaurine, Spd, 0.803; MCSO1, Pipecolic acid, Spd, 0.803; Thr, aAAA, Spd, 0.803; Ser, hArg, Spd, 0.803; Gln, Thr, Spd, 0.803; His, Hypotaurine, Spd, 0.803; Thr, 3-MeHis, Spd, 0.803; Orn, Hypro, Spd, 0.803; MCSO1 / MCSO2, MeCys, Put, 0.803; Gly, bAiBA, Spd, 0.803; Glu, Kyn, Spd, 0.802; Ser, Lys, Spd, 0.802; Asn, hArg, Spd, 0.802; Thr, Met, Spd, 0.802; aABA, Lys, Spd, 0.802; Met, Trp, Spd, 0.802; Orn, N6-AcLys, Spd, 0.802; Lys, GABA, Spd, 0.802; Hypotaurine, Kyn, Spd, 0.802; Kyn / Trp, MCSO1, Spd, 0.802; aAAA, hArg, MCSO2, 0.802; Thr, Leu, Spd, 0.802; Arg, Lys, Spd, 0.802; Leu, MCSO1, Spd, 0.802; Cystathionine, Hypotaurine, Spd, 0.802; hArg, Hypotaurine, Spd, 0.802; hArg, MCSO2, SDMA, 0.802; Hypotaurine, Hypro, Spd, 0.802; Met, bAiBA, Spd, 0.802; 1-MeHis, MCSO2 / MeCys, PEA, 0.802; Orn, aAAA, Spd, 0.802; Arg, Kyn / Trp, Spd, 0.802; Met, Orn, Spd, 0.802; Met, hArg, Spd, 0.802; Orn, hArg, MCSO2, 0.802; Lys, Hypro, Spd, 0.802; Leu, Hypotaurine, Spd, 0.802; His, bAiBA, Spd, 0.802; bABA, Hypotaurine, Spd, 0.802; Thr, aABA, Spd, 0.802; Orn, bAiBA, Spd, 0.802; Asn, Lys, Spd, 0.801; Cit, Put, Spd, 0.801; Arg, Phe, Spd, 0.801; 3-MeHis, MCSO2, SDMA, 0.801; Kyn / Trp, N6-AcLys, Spd, 0.801; bAiBA, MeCys, Spd, 0.801; Met, bABA, Spd, 0.801; bABA, hArg, Spd, 0.801; aAAA, MCSO 2 , Put, 0.801; Asn, Gly, Spd, 0.801; Asn, Orn, Spd, 0.801; Gly, Met, Spd, 0.801; His, Lys, Spd, 0.801; Arg, Orn, Spd, 0.801; Met, Phe, Spd, 0.801; Lys, Ile, Spd, 0.801; Kyn, Put, Spd, 0.801; bAiBA, hArg, Spd, 0.801; Glu, Kyn / Trp, Spd, 0.801; Thr, Pro, Spd, 0.801; Cit, MCSO1, Spd, 0.801; Val, Lys, Spd, 0.801; MCSO2, PEA, Spd, 0.801; Thr, Val, Spd, 0.801; Thr, ADMA, Spd, 0.801; Met, Lys, Spd, 0.801; Lys, Leu, Spd, 0.801; bABA, hArg, MCSO2, 0.8; 1-MeHis, Sar, Spd, 0.8; Gly, Arg, Spd, 0.8; Gly, Orn, Spd, 0.8; Gln, Arg, Spd, 0.8; Area, Arg, Spd, 0.8; Pro, Put, Spd, 0.8; Trp, Hypotaurine, Spd, 0.8; ADMA, Hypotaurine, Spd, 0.8; hArg, Kyn, MCSO 2 , 0.8; hArg, MCSO2, N6-AcLys, 0.8; hArg, MCSO 2 , . PEA, 0.8; Ser, Hypotaurine, Spd, 0.8; Asn, Ala, Spd, 0.8; Gly, His, Spd, 0.8; His, SDMA, Spd, 0.8; Orn, Leu, Spd, 0.8; Orn, hArg, Spd, 0.8; Lys, Trp, Spd, 0.8; 3-MeHis, Kyn / Trp, Spd, 0.8; hArg, MCSO1, Spd, 0.8; hArg, Put, Spd, 0.8; MCSO2, MCSO1, Spm, 0.8; Ser, Thr, Spd, 0.8; Thr, hArg, Spd, 0.8; Arg, Trp, Spd, 0.8; Met, Ile, Spd, 0.8; Lys, Cystathionine, Spd, 0.8; Lys, MCSO2, MCSO1 / MCSO2, 0.8; Kyn, MCSO1, Spd, 0.8; Gly, Ala, Spd, 0.8; Cit, MCSO2 / MeCys, Put, 0.8; Arg, bABA, Spd, 0.8; Glu, hArg, MCSO2, 0.799; Ser, hArg, MCSO2, 0.799; Thr, Ile, Spd, 0.799; aABA, Put, Spd, 0.799; Lys, ADMA, Spd, 0.799; His, Kyn / Trp, Spd, 0.799; His, Put, Spd, 0.799; Thr, Phe, Spd, 0.799; Ala, Hypotaurine, Spd, 0.799; hArg, MCSO2 / MeCys, MeCys, 0.799; Glu, MeCys, Spd, 0.799; His, Ala, Spd, 0.799; Thr, Tyr, Spd, 0.799; Ala, hArg, MCSO2, 0.799; Lys, MCSO2, MCSO1, 0.799; hArg, Kyn / BCAA, MCSO2, 0.799; Gly, Thr, Spd, 0.799; Thr, Ala, Spd, 0.799; Lys, hArg, Spd, 0.799; Lys, N6-AcLys, Spd, 0.799; Cystathionine, Put, Spd, 0.799; GABA, MCSO1, Spd, 0.799; hArg, MCSO2, MCSO1, 0.799; Hypotaurine, MCSO2 / MeCys, Spd, 0.799; His, Thr, Spd, 0.798; Lys, Kyn / Trp, Spd, 0.798; Gln, Put, Spd, 0.798; Thr, Trp, Spd, 0.798; Tyr, Lys, Spd, 0.798; His, MCSO1, Spd, 0.798; Thr, MCSO1, Spd, 0.798; Ile, MCSO1, Spd, 0.798; Phe, Hypotaurine, Spd, 0.798; Hypotaurine, N6-AcLys, Spd, 0.798; Kyn / Trp, MCSO2 / MeCys, Put, 0.798; His, Orn, Spd, 0.798; Thr, Put, Spd, 0.798; Ala, Put, Spd, 0.798; hArg, Hypotaurine, MCSO2, 0.798; Ser, Lys, MCSO2, 0.797; Lys, MCSO2, SDMA, 0.797; Lys, MeCys, Put, 0.797; Hypotaurine, MeCys, Spd, 0.797; Pro, MCSO1, Spd, 0.797; Tyr, Met, Spd, 0.797; Orn, Lys, Spd, 0.797; Phe, Put, Spd, 0.797; Ala, N6-AcLys, Spd, 0.797; Phe, MCSO1, Spd, 0.797; GABA, Put, Spd, 0.797; hArg, Kyn / Trp, MCSO2, 0.797; Hypotaurine, SDMA, Spd, 0.797; Ala, Orn, Spd, 0.797; Pro, Lys, Spd, 0.797; Met, hArg, MCSO2, 0.797; Cystathionine, MCSO1, Spd, 0.797; Gln, MCSO1, Spd, 0.796; Ala, Lys, Spd, 0.796; Val, MCSO1, Spd, 0.796; 3-MeHis, Put, Spd, 0.796; Ala, MCSO2 / MeCys, Put, 0.796; Tyr, MCSO1, Spd, 0.796; GABA, Hypotaurine, Spd, 0.796; Glu, SDMA, Spd, 0.796; Gly, Lys, Spd, 0.796; Gly, MCSO1, Spd, 0.796; Thr, Lys, Spd, 0.796; Ala, MCSO1, Spd, 0.796; His, hArg, MCSO2, 0.796; Ala, GABA, Spd, 0.796; Cit, MCSO2, N6-AcLys, 0.796; Lys, Kyn, MCSO2, 0.796; Ser, MCSO1, Spd, 0.795; Gln, hArg, MCSO2, 0.795; Thr, Orn, Spd, 0.795; Lys, MCSO1, Spd, 0.795; Cystathionine, hArg, MCSO2, 0.795; Asn, hArg, MCSO2, 0.795; Trp, MCSO1, Spd, 0.795; His, MeCys, Put, 0.795; Tyr, hArg, MCSO2, 0.795; Val, Put, Spd, 0.795; Leu, Put, Spd, 0.795; Ser, Met, MCSO2, 0.795; Pro, MCSO2, SDMA, 0.795; GABA, hArg, MCSO2, 0.795; Ser, hArg, MeCys, 0.794; Pro, MCSO2 / MeCys, Put, 0.794; 3-MeHis, MCSO1, Spd, 0.794; hArg, MCSO2, MCSO2 / MeCys, 0.794; hArg, MCSO1 / MCSO2, MeCys, 0.794; Leu, hArg, MCSO2, 0.794; Trp, hArg, MCSO2, 0.794; Hypotaurine, Kyn / Trp, Spd, 0.794; Thr, hArg, MCSO2, 0.794; Cit, Pro, MCSO2, 0.794; aABA, hArg, MCSO2, 0.794; 3-MeHis, hArg, MCSO2, 0.794; ADMA, hArg, MCSO2, 0.794; Kyn / BCAA, MCSO2 / MeCys, Put, 0.794; MCSO1, Put, Spd, 0.794; Gly, MCSO2 / MeCys, Put, 0.794; Val, hArg, MCSO2, 0.794; Met, MCSO1, Spd, 0.794; Lys, Put, Spd, 0.794; N6-AcLys, Put, Spd, 0.794; ADMA, Put, Spd, 0.793; Glu, GABA, Spd, 0.793; Ser, Put, Spd, 0.793; Asn, MCSO1, Spd, 0.793; Asn, Put, Spd, 0.793; Arg, Hypotaurine, Spd, 0.793; Lys, MCSO1 / MCSO2, MCSO2 / MeCys, 0.793; Lys, MCSO 2 / MeCys, MeCys, 0.793; Ile, hArg, MCSO 2 , 0.793; hArg, MCSO 2 , MeCys, 0.793; Glu, αABA, Spd, 0.793; Asn, Hypotaurine, Spd, 0.793; Gly, hArg, MeCys, 0.793; Orn, MCSO1, Spd, 0.793; Phe, hArg, MCSO 2 , 0.793; hArg, MeCys, N6-AcLys, 0.793; Cit, Met, MCSO 2 , 0.793; Cit, Orn, MCSO 2 , 0.793; Arg, hArg, MCSO 2 , 0.793; Glu, Pro, Spd, 0.793; Cit, hArg, MeCys, 0.793; Lys, Kyn / Trp, MCSO 2 , 0.793; Glu, Cit, Spd, 0.792; Gly, Hypotaurine, Spd, 0.792; Gln, Lys, MCSO 2 , 0.792; Ser, Thr, MCSO 2 , 0.792; Thr, N6-AcLys, Spd, 0.792; Cit, Arg, MCSO 2 , 0.792; Arg, MCSO1, Spd, 0.792; Arg, MeCys, Put, 0.792; Lys, MCSO2, MCSO2 / MeCys, 0.792; Ile, Put, Spd, 0.792; Kyn / BCAA, MeCys, Put, 0.792; Glu, Val, Spd, 0.792; Glu, Phe, Spd, 0.792; Arg, MCSO2 / MeCys, Put, 0.792; Tyr, Put, Spd, 0.792; Ala, hArg, MeCys, 0.792; Met, Hypotaurine, Spd, 0.792; Trp, Put, Spd, 0.792; GABA, MCSO2 / MeCys, Put, 0.791; Gly, hArg, Spd, 0.791; His, Lys, MCSO2, 0.791; Met, hArg, MeCys, 0.791; Orn, Put, Spd, 0.791; Lys, GABA, MCSO2, 0.791; Glu, Ile, Spd, 0.791; Gly, Put, Spd, 0.791; ADMA, MCSO1, Spd, 0.791; Cystathionine, MCSO2 / MeCys, Put, 0.791; Glu, Orn, Spd, 0.791; Trp, MCSO2 / MeCys, Put, 0.791; Glu, Cystathionine, Spd, 0.791; Met, Put, Spd, 0.791; hArg, MeCys, SDMA, 0.791; Tyr, Lys, MCSO2, 0.79; Val, Lys, MCSO2, 0.79; Met, MeCys, Put, 0.79; Glu, Put, Spd, 0.79; aABA, MeCys, Put, 0.79; Met, MCSO2 / MeCys, Put, 0.79; Orn, Lys, MCSO2, 0.79; Kyn, MCSO2 / MeCys, Put, 0.79; Glu, Gly, Spd, 0.79; Ala, Lys, MCSO2, 0.79; Orn, MCSO2 / MeCys, Put, 0.79; Lys, hArg, MeCys, 0.79; Leu, MCSO2 / MeCys, Put, 0.79; Kyn / Trp, MeCys, N6-AcLys, 0.79; aABA, Lys, MCSO2, 0.79; Lys, Hypotaurine, MCSO2, 0.79; Arg, Lys, MCSO2, 0.789; Lys, Cystathionine, MCSO2, 0.789; Glu, 3-MeHis, Spd, 0.789; Lys, ADMA, MCSO2, 0.789; Lys, Kyn / BCAA, MCSO2, 0.789; Asn, Lys, MCSO2, 0.789; His, Cit, MCSO2, 0.789; His, hArg, MeCys, 0.789; Cit, MeCys, Put, 0.789; Lys, Ile, MCSO2, 0.789; Hypotaurine, Put, Spd, 0.789; Thr, Lys, MCSO2, 0.789; Arg, Put, Spd, 0.789; Pro, Kyn / Trp, MCSO2, 0.789; Lys, Hypotaurine, Spd, 0.789; Lys, MCSO2, MeCys, 0.789; Lys, MCSO2, N6-AcLys, 0.789; His, MCSO2 / MeCys, Put, 0.788; Tyr, MCSO2 / MeCys, Put, 0.788; Glu, Trp, Spd, 0.788; Gly, MeCys, Put, 0.788; Pro, hArg, MeCys, 0.788; hArg, MCSO1 / MCSO2, MCSO2 / MeCys, 0.788; Thr, Cit, MCSO2, 0.788; Met, MCSO2, MCSO1, 0.788; hArg, Kyn / Trp, MeCys, 0.788; Glu, Lys, MCSO2, 0.788; Pro, Lys, MCSO2, 0.788; Lys, Leu, MCSO2, 0.788; Lys, Phe, MCSO2, 0.788; Glu, hArg, MeCys, 0.787; Tyr, MeCys, Put, 0.787; Met, MCSO2, MCSO1 / MCSO2, 0.787; Lys, 3-MeHis, MCSO2, 0.787; hArg, Kyn / BCAA, MeCys, 0.787; Lys, Trp, MCSO2, 0.787; ADMA, MCSO2 / MeCys, Put, 0.787; Kyn, MeCys, Put, 0.787; MCSO1, N6-AcLys, Spd, 0.787; Glu, Arg, Spd, 0.787; Gly, Lys, MCSO2, 0.787; Tyr, MCSO2, N6-AcLys, 0.787; Phe, MCSO2 / MeCys, Put, 0.787; Glu, Gln, Spd, 0.786; Glu, Lys, Spd, 0.786; Thr, Hypotaurine, Spd, 0.786; Pro, MCSO2, MCSO1, 0.786; Met, Lys, MCSO2, 0.786; Hypotaurine, MCSO2 / MeCys, Put, 0.786; Kyn / BCAA, MCSO2, N6-AcLys, 0.786; Gly, hArg, MCSO2 / MeCys, 0.786; Ala, MCSO2, MCSO1 / MCSO2, 0.786; Pro, MCSO2, MCSO1 / MCSO2, 0.786; Glu, Met, Spd, 0.786; Thr, MeCys, Put, 0.786; Met, MCSO2, SDMA, 0.786; Glu, Ser, Spd, 0.785; hArg, Kyn, MeCys, 0.785; Orn, Hypotaurine, Spd, 0.785; MCSO2 / MeCys, N6-AcLys, SDMA, 0.785; Ala, MCSO2, MCSO1, 0.785; Met, GABA, MCSO2, 0.785; Cystathionine, MeCys, Put, 0.785; Glu, Ala, Spd, 0.785; Glu, Tyr, Spd, 0.785; Asn, MCSO2 / MeCys, Put, 0.785; Thr, MCSO2, N6-AcLys, 0.785; Cit, Lys, MCSO2 / MeCys, 0.785; Tyr, hArg, MeCys, 0.785; MCSO1, MeCys, Put, 0.785; Glu, His, Spd, 0.784; Gln, MCSO2 / MeCys, Put, 0.784; Trp, MeCys, Put, 0.784; His, Pro, MCSO2, 0.784; Thr, MCSO2, MCSO1 / MCSO2, 0.784; MCSO2 / MeCys, N6-AcLys, Put, 0.784; Glu, N6-AcLys, Spd, 0.784; Met, MCSO2, N6-AcLys, 0.784; Leu, MeCys, Put, 0.784; MCSO2, MCSO1 / MCSO2, N6-AcLys, 0.784; MCSO1, MCSO2 / MeCys, Put, 0.784; aABA, MCSO2 / MeCys, Put, 0.784; Orn, Kyn / Trp, MCSO2, 0.784; Leu, MCSO2, MCSO1 / MCSO2, 0.784; Phe, hArg, MeCys, 0.784; Glu, ADMA, Spd, 0.784; Arg, hArg, MeCys, 0.784; Val, MCSO2 / MeCys, Put, 0.784; Orn, hArg, MeCys, 0.784; Ile, MCSO2 / MeCys, Put, 0.784; hArg, Hypotaurine, MeCys, 0.784; Glu, MCSO2 / MeCys, Put, 0.783; 3-MeHis, MCSO2 / MeCys, Put, 0.783; Glu, MeCys, Put, 0.783; Thr, Cit, MCSO2 / MeCys, 0.783; 3-MeHis, MeCys, Put, 0.783; hArg, MCSO1, MeCys, 0.783; Glu, Thr, Spd, 0.783; His, MCSO2, MCSO1 / MCSO2, 0.783; Thr, MCSO1 / MCSO2, MCSO2 / MeCys, 0.783; Pro, MeCys, Put, 0.783; Met, Orn, MCSO2, 0.783; Met, Kyn / BCAA, MCSO2, 0.783; Orn, Kyn / BCAA, MCSO2, 0.783; Kyn, MCSO2, N6-AcLys, 0.783; MeCys, N6-AcLys, Put, 0.783; Glu, Leu, Spd, 0.782; Gly, Cit, MCSO2, 0.782; Thr, hArg, MeCys, 0.782; Orn, MeCys, Put, 0.782; Ser, MCSO2 / MeCys, Put, 0.782; Gln, MeCys, Put, 0.782; Pro, hArg, MCSO2 / MeCys, 0.782; Pro, Kyn / BCAA, MCSO2, 0.782; Met, Kyn / Trp, MCSO2, 0.782; Cystathionine, hArg, MeCys, 0.782; Cit, MCSO2, MCSO1, 0.782; Met, Kyn, MCSO2, 0.782; Orn, MCSO2, SDMA, 0.782; Lys, Kyn, MCSO2 / MeCys, 0.782; Glu, MCSO1, Spd, 0.782; Gln, hArg, MeCys, 0.782; Thr, Pro, MCSO2, 0.782; Ala, MeCys, Put, 0.782; Leu, hArg, MeCys, 0.782; Phe, MeCys, Put, 0.782; 3-MeHis, Kyn / BCAA, MCSO2, 0.782; Asn, hArg, MeCys, 0.781; Gln, Met, MCSO2, 0.781; Ala, MCSO1 / MCSO2, MCSO2 / MeCys, 0.781; MCSO1, MCSO2 / MeCys, MeCys, 0.781; Asn, MeCys, Put, 0.781; Thr, MCSO2, MCSO1, 0.781; Tyr, MCSO2, MCSO1, 0.781; Met, Ile, MCSO2, 0.781; 3-MeHis, Kyn / Trp, MCSO2, 0.781; MCSO2, MCSO1, N6-AcLys, 0.781; Glu, hArg, Spd, 0.781; Asn, Cit, MCSO2, 0.781; Gly, Met, MCSO2, 0.781; His, Ala, MCSO2, 0..781; His, MCSO2, SDMA, 0.781; Met, Phe, MCSO2, 0.781; Lys, hArg, MCSO2 / MeCys, 0.781; Lys, MCSO2 / MeCys, SDMA, 0.781; Ile, MeCys, Put, 0.781; Glu, Asn, Spd, 0.78; Ser, Thr, MCSO2 / MeCys, 0.78; Ala, MCSO2, N6-AcLys, 0.78; Pro, MCSO2, N6-AcLys, 0.78; aABA, MCSO2, MCSO1 / MCSO2, 0.78; Tyr, MCSO2, MCSO1 / MCSO2, 0.78; Val, hArg, MeCys, 0.78; Val, MeCys, Put, 0.78; ADMA, MeCys, Put, 0.78; aABA, hArg, MeCys, 0.78; Val, Met, MCSO2, 0.78; Lys, Kyn / Trp, MCSO2 / MeCys, 0.78; Ile, Leu, MCSO2, 0.78; hArg, MCSO1, MCSO1 / MCSO2, 0.78; Ala, Orn, MCSO2, 0.78; Leu, MCSO2, MCSO1, 0.78; Trp, MCSO2, N6-AcLys, 0.78; Hypotaurine, MeCys, Put, 0.78; MCSO1 / MCSO2, MCSO2 / MeCys, MeCys, 0.78; Gly, Kyn / Trp, MCSO2, 0.78; His, Kyn / Trp, MCSO2, 0.78; Thr, hArg, MCSO2 / MeCys, 0.78; Gly, Pro, MCSO2, 0.779; Gly, MCSO2, MCSO1, 0.779; Gly, MCSO2, N6-AcLys, 0.779; Arg, Met, MCSO2, 0.779; 3-MeHis, hArg, MeCys, 0.779; Ser, Arg, MCSO2, 0.779; Gly, MCSO2, MCSO1 / MCSO2, 0.779; Arg, Pro, MCSO2, 0.779; GABA, MeCys, Put, 0.779; Ala, Kyn / BCAA, MCSO2, 0.779; Cit, hArg, MCSO2 / MeCys, 0.779; Gly, Trp, MCSO2, 0.779; Pro, MCSO2 / MeCys, SDMA, 0.779; Met, Cystathionine, MCSO2, 0.779; Ser, Asn, MCSO2, 0.778; Ser, MeCys, Put, 0.778; Met, MCSO2, MeCys, 0.778; Ile, hArg, MeCys, 0.778; Trp, hArg, MeCys, 0.778; Ser, Pro, MCSO2, 0.778; His, Orn, MCSO2, 0.778; Thr, Orn, MCSO2, 0.778; Pro, Lys, MCSO2 / MeCys, 0.778; Met, MCSO1 / MCSO2, MCSO2 / MeCys, 0.778; Leu, MCSO2, SDMA, 0.778; GABA, hArg, MeCys, 0.778; Asn, MCSO2, MCSO1 / MCSO2, 0.778; His, MCSO2, MCSO1, 0.778; Cit, 3-MeHis, MCSO2, 0.778; Cit, GABA, MCSO2, 0.778; Met, Hypotaurine, MCSO2, 0.778; Met, MCSO2, MCSO2 / MeCys, 0.778; 3-MeHis, MeCys, SDMA, 0.778; Gly, MCSO2, SDMA, 0.778; Arg, MCSO2, MCSO1, 0.778; aABA, MCSO2, N6-AcLys, 0.778; Tyr, Met, MCSO2, 0.778; Val, Leu, MCSO2, 0.778; Orn, MCSO2, MCSO1, 0.778; Ser, Tyr, MCSO2, 0.777; Pro, MCSO2 / MeCys, MeCys, 0.777; ADMA, hArg, MeCys, 0.777; Asn, Met, MCSO2, 0.777; Ala, MCSO2, SDMA, 0.777; Met, ADMA, MCSO2, 0.777; Glu, Met, MCSO2, 0.777; Ala, Met, MCSO2, 0.777; Cit, Trp, MCSO2, 0.777; Cit, Kyn / Trp, MCSO2, 0.777; Arg, Kyn / BCAA, MCSO2, 0.777; Pro, Tyr, MCSO2, 0.777; Pro, Met, MCSO2, 0.777; aABA, Orn, MCSO2, 0.777; aABA, MCSO2, MCSO1, 0.777; Ser, Ala, MCSO2, 0.777; His, Put, SDMA, 0.777; Cit, MeCys, N6-AcLys, 0.777; Pro, aABA, MCSO2, 0.777; Met, Leu, MCSO2, 0.777; Met, MCSO2 / MeCys, MeCys, 0.777; Ser, MCSO2, MCSO1, 0.776; Gln, Arg, MCSO2, 0.776; His, Kyn / BCAA, MCSO2, 0.776; Thr, Kyn / Trp, MCSO2, 0.776; Ala, Pro, MCSO2, 0.776; Cit, MCSO2, SDMA, 0.776; Arg, MCSO2, N6-AcLys, 0.776; Trp, MCSO2, MCSO1, 0.776; Trp, MCSO2, MCSO1 / MCSO2, 0.776; GABA, MCSO2, MCSO1, 0.776; Kyn / BCAA, MCSO2, MCSO1 / MCSO2, 0.776; Glu, hArg, MCSO2 / MeCys, 0.776; Ala, Arg, MCSO2, 0.776; Arg, MCSO2, SDMA, 0.776; Lys, GABA, MCSO2 / MeCys, 0.776; Lys, MCSO1 / MCSO2, MeCys, 0.776; MCSO2, MCSO1, SDMA, 0.776; Gln, Orn, MCSO2, 0.776; Thr, MCSO2 / MeCys, MeCys, 0.776; Cit, Leu, MCSO2, 0.776; Pro, Kyn, MCSO2, 0.776; Val, Lys, MCSO2 / MeCys, 0.776; Orn, MCSO2, MCSO1 / MCSO2, 0.776; Cystathionine, MCSO2, N6-AcLys, 0.776; hArg, MCSO2 / MeCys, SDMA, 0.776; Ala, Leu, MCSO2, 0.776; Ala, Kyn / Trp, MCSO2, 0.776; Cit, MCSO2, MeCys, 0.776; Arg, MCSO2, MCSO1 / MCSO2, 0.776; Tyr, Orn, MCSO2, 0.776; Orn, hArg, MCSO2 / MeCys, 0.776; Glu, Lys, MCSO2 / MeCys, 0.775; Asn, MCSO2, MCSO1, 0.775; Gly, Orn, MCSO2, 0.775; Thr, Lys, MCSO2 / MeCys, 0.775; Thr, 3-MeHis, MCSO2, 0.775; Thr, Kyn / BCAA, MCSO2, 0.775; Ala, aABA, MCSO2, 0.775; Cit, MCSO2, MCSO1 / MCSO2, 0.775; 3-MeHis, MCSO2, MCSO1 / MCSO2, 0.775; ADMA, MCSO2, MCSO1, 0.775; Glu, MCSO2, MCSO1, 0.775; Ser, aABA, MCSO2, 0.775; Gln, Thr, MCSO2, 0.775; Cit, ADMA, MCSO2, 0.775; Cit, Kyn / BCAA, MCSO2, 0.775; Pro, GABA, MCSO2, 0.775; Met, 3-MeHis, MCSO2, 0.775; Lys, 3-MeHis, MCSO2 / MeCys, 0.775; Ile, MCSO2, MCSO1 / MCSO2, 0.775; Phe, MCSO2, MCSO1, 0.775; hArg, Hypotaurine, MCSO2 / MeCys, 0.775; hArg, Put, SDMA, 0.775; MCSO2, MCSO1 / MCSO2, MCSO2 / MeCys, 0.775; N6-AcLys, Put, SDMA, 0.775; Asn, MCSO2, N6-AcLys, 0.775; Asn, MCSO2, SDMA, 0.775; Thr, MCSO2, MCSO2 / MeCys, 0.775; Ala, Kyn, MCSO2, 0.775; Pro, MCSO2, MCSO2 / MeCys, 0.775; Met, Trp, MCSO2, 0.775; Lys, Put, SDMA, 0.775; ADMA, MCSO2, SDMA, 0.775; Cystathionine, MCSO2, MCSO1, 0.775; Hypotaurine, MCSO1, Spd, 0.775; Kyn, MCSO2, MCSO1, 0.775; Kyn / BCAA, MCSO2, MCSO1, 0.775; MCSO2, MCSO1 / MCSO2, SDMA, 0.775; Gly, Leu, MCSO2, 0.775; His, Met, MCSO2, 0.775; Thr, Tyr, MCSO2, 0.775; Thr, MCSO2, SDMA, 0.775; Ala, ADMA, MCSO2, 0.775; Ala, hArg, MCSO2 / MeCys, 0.775; Arg, Leu, MCSO2, 0.775; Arg, Trp, MCSO2, 0.775; Val, MCSO2, MCSO1 / MCSO2, 0.775; Orn, Leu, MCSO2, 0.775; Gln, MCSO2, N6-AcLys, 0.774; Arg, MCSO2 / MeCys, MeCys, 0.774; Orn, Kyn, MCSO2, 0.774; Leu, Kyn, MCSO2, 0.774; GABA, MCSO2, N6-AcLys, 0.774; Ser, Leu, MCSO2, 0.774; Gly, His, MCSO2, 0.774; Gln, His, MCSO2, 0.774; Gln, Cit, MCSO2, 0.774; Gln, Pro, MCSO2, 0.774; His, Tyr, MCSO2, 0.774; Thr, Ala, MCSO2, 0.774; Thr, Met, MCSO2, 0.774; Thr, ADMA, MCSO2, 0.774; Cit, aABA, MCSO2, 0.774; Cit, MCSO2, MCSO2 / MeCys, 0.774; Arg, Kyn / Trp, MCSO2, 0.774; Orn, ADMA, MCSO2, 0.774; Ser, Lys, MeCys, 0.774; Gly, MCSO2, MCSO2 / MeCys, 0.774; His, Thr, MCSO2, 0.774; His, MCSO2, N6-AcLys, 0.774; Thr, Kyn, MCSO2, 0.774; Cit, Hypotaurine, MCSO2, 0.774; Cit, Kyn, MCSO2, 0.774; Pro, Orn, MCSO2, 0.774; Orn, MCSO2 / MeCys, MeCys, 0.774; Lys, MCSO1, MCSO1 / MCSO2, 0.774; Cit, Tyr, MCSO2, 0.774; Pro, Trp, MCSO2, 0.774; Orn, Ile, MCSO2, 0.774; Lys, Phe, MCSO2 / MeCys, 0.774; 3-MeHis, MCSO2, MCSO1, 0.774; Hypotaurine, MCSO2, N6-AcLys, 0.774; Kyn / Trp, MCSO2, MCSO1, 0.774; Glu, Cit, MCSO2, 0.773; Gly, Lys, MCSO2 / MeCys, 0.773; Thr, Leu, MCSO2, 0.773; Ile, MCSO2, MCSO1, 0.773; Leu, Kyn / Trp, MCSO2, 0.773; GABA, MCSO2, MCSO1 / MCSO2, 0.773; MCSO2, MCSO1, MCSO2 / MeCys, 0.773; Ser, MCSO2, MCSO1 / MCSO2, 0.773; Gly, Thr, MCSO2, 0.773; Gln, MCSO2, MCSO1, 0.773; Thr, Hypotaurine, MCSO2, 0.773; Cit, Phe, MCSO2, 0.773; Arg, MCSO2, MCSO2 / MeCys, 0.773; aABA, Leu, MCSO2, 0.773; Tyr, MCSO2, SDMA, 0.773; Orn, GABA, MCSO2, 0.773; Orn, MCSO2, MCSO2 / MeCys, 0.773; Ser, His, MCSO2, 0.773; Ser, MCSO2, N6-AcLys, 0.773; Asn, Kyn / BCAA, MCSO2, 0.773; Gly, GABA, MCSO2, 0.773; Gly, hArg, Put, 0.773; Ala, Cit, MCSO2, 0.773; Ala, Cystathionine, MCSO2, 0.773; Arg, Tyr, MCSO2, 0.773; Arg, GABA, MCSO2, 0.773; Pro, Kyn / Trp, MCSO2 / MeCys, 0.773; Orn, MCSO2, N6-AcLys, 0.773; Lys, Cystathionine, MCSO2 / MeCys, 0.773; Leu, MCSO2, N6-AcLys, 0.773; Asn, Pro, MCSO2, 0.773; Arg, Orn, MCSO2, 0.773; Pro, Leu, MCSO2, 0.773; Val, MCSO2, N6-AcLys, 0.773; Orn, Cystathionine, MCSO2, 0.773; 3-MeHis, MCSO2, N6-AcLys, 0.773; ADMA, MCSO2, N6-AcLys, 0.773; MCSO2, MCSO1, MeCys, 0.773; Glu, MCSO2, N6-AcLys, 0.773; Asn, Ala, MCSO2, 0.773; His, Trp, MCSO2, 0.773; Thr, Trp, MCSO2, 0.773; Cit, Val, MCSO2, 0.773; Tyr, 3-MeHis, MCSO2, 0.773; Orn, Trp, MCSO2, 0.773; Orn, 3-MeHis, MCSO2, 0.773; ADMA, MCSO2, MCSO1 / MCSO2, 0.773; Gln, Lys, MCSO2 / MeCys, 0.772; Thr, GABA, MCSO2, 0.772; Thr, Put, SDMA, 0.772; Ala, MCSO2, MCSO2 / MeCys, 0.772; Pro, Ile, MCSO2, 0.772; Pro, ADMA, MCSO2, 0.772; Lys, Ile, MCSO2 / MeCys, 0.772; 3-MeHis, Kyn, MCSO2, 0.772; Glu, Orn, MCSO2, 0.772; Ser, Gly, MCSO2, 0.772; Gly, Kyn / BCAA, MCSO2, 0.772; His, MCSO2 / MeCys, MeCys, 0.772; Ala, GABA, MCSO2, 0.772; Ala, MCSO2 / MeCys, MeCys, 0.772; Lys, Kyn / BCAA, MCSO2 / MeCys, 0.772; Ile, MCSO2, N6-AcLys, 0.772; Leu, MCSO1 / MCSO2, MCSO2 / MeCys, 0.772; hArg, Kyn / Trp, MCSO2 / MeCys, 0.772; Gly, Gln, MCSO2, 0.772; His, Arg, MCSO2, 0.772; His, ADMA, MCSO2, 0.772; Thr, Cystathionine, MCSO2, 0.772; Pro, MCSO2, MeCys, 0.772; Tyr, ADMA, MCSO2, 0.772; Orn, Phe, MCSO2, 0.772; GABA, MCSO2, SDMA, 0.772; Gly, Ala, MCSO2, 0.772; Gly, Arg, MCSO2, 0.772; His, Kyn, MCSO2, 0.772; Ala, Tyr, MCSO2, 0.772; Cit, Orn, MCSO2 / MeCys, 0.772; Cit, Ile, MCSO2, 0.772; Arg, Ile, MCSO2, 0.772; Pro, 3-MeHis, MCSO2, 0.772; Pro, Cystathionine, MCSO2, 0.772; aABA, 3-MeHis, MCSO2, 0.772; Tyr, Leu, MCSO2, 0.772; Tyr, Kyn / BCAA, MCSO2, 0.772; Val, Orn, MCSO2, 0.772; Trp, Kyn / BCAA, MCSO2, 0.772; Hypotaurine, MCSO2, MCSO1, 0.772; MCSO2, MeCys, N6-AcLys, 0.772; MCSO2 / MeCys, MeCys, N6-AcLys, 0.772; Asn, Arg, MCSO2, 0.771; Thr, Ile, MCSO2, 0.771; Arg, Lys, MCSO2 / MeCys, 0.771; Pro, MCSO1 / MCSO2, MCSO2 / MeCys, 0.771; aABA, Kyn / BCAA, MCSO2, 0.771; Lys, MCSO1, MCSO2 / MeCys, 0.771; ADMA, Kyn / BCAA, MCSO2, 0.771; His, 3-MeHis, MCSO2, 0.771; Thr, Val, MCSO2, 0.771; Ala, Phe, MCSO2, 0.771; Cit, Pro, MCSO2 / MeCys, 0.771; Cit, Cystathionine, MCSO2, 0.771; Orn, Lys, MCSO2 / MeCys, 0.771; Orn, MCSO2, MeCys, 0.771; Orn, MCSO1 / MCSO2, MCSO2 / MeCys, 0.771; Trp, MCSO2, SDMA, 0.771; ADMA, Kyn / Trp, MCSO2, 0.771; Kyn, Kyn / BCAA, MCSO2, 0.771; Glu, Gly, MCSO2, 0.771; Ser, Cit, MCSO2, 0.771; Ser, Lys, MCSO2 / MeCys, 0.771; Asn, His, MCSO2, 0.771; Asn, Thr, MCSO2, 0.771; Thr, Arg, MCSO2, 0.771; Ala, Lys, MCSO2 / MeCys, 0.771; Ala, Trp, MCSO2, 0.771; Ala, Hypotaurine, MCSO2, 0.771; Arg, Phe, MCSO2, 0.771; Pro, Val, MCSO2, 0.771; aABA, Met, MCSO2, 0.771; Tyr, MCSO2, MCSO2 / MeCys, 0.771; Orn, Hypotaurine, MCSO2, 0.771; Cystathionine, MCSO2, MCSO1 / MCSO2, 0.771; hArg,. Kyn / Trp, Put, 0.771; Glu, Hypotaurine, Spd, 0.771; Glu, MCSO2, MCSO1 / MCSO2, 0.771; Ser, Orn, MCSO2, 0.771; Asn, Orn, MCSO2, 0.771; Gly, Val, MCSO2, 0.771; Gly, 3-MeHis, MCSO2, 0.771; Ala, Ile, MCSO2, 0.771; Kyn, MCSO2, SDMA, 0.771; Kyn / Trp, MCSO2 / MeCys, N6-AcLys, 0.771; MCSO2, MCSO2 / MeCys, N6-AcLys, 0.771; Gly, aABA, MCSO2, 0.77; Gln, Tyr, MCSO2, 0.77; His, Phe, MCSO2, 0.77; Ala, Val, MCSO2, 0.77; Val, MCSO2, MCSO1, 0.77; Lys, MeCys, SDMA, 0.77; Ile, Kyn / BCAA, MCSO2, 0.77; Ile, MCSO2, SDMA, 0.77; Phe, MCSO2, MCSO1 / MCSO2, 0.77; Gly, Ile, MCSO2, 0.77; Gly, Cystathionine, MCSO2, 0.77; His, aABA, MCSO2, 0.77; His, GABA, MCSO2, 0.77; Thr, Pro, MCSO2 / MeCys, 0.77; Thr, Phe, MCSO2, 0.77; Thr, Kyn / Trp, MCSO2 / MeCys, 0.77; Thr, MCSO2, MeCys, 0.77; Ala, MCSO2, MeCys, 0.77; Pro, Hypotaurine, MCSO2, 0.77; Leu, Kyn / BCAA, MCSO2, 0.77; 3-MeHis, GABA, MCSO2, 0.77; MCSO2, MCSO1 / MCSO2, MeCys, 0.77; Glu, Thr, MCSO2, 0.77; His, Leu, MCSO2, 0.77; Thr, Cit, Put, 0.77; Ala, 3-MeHis, MCSO2, 0.77; Arg, Cystathionine, MCSO2, 0.77; Arg, Kyn, MCSO2, 0.77; Tyr, GABA, MCSO2, 0.77; Lys, Hypotaurine, MCSO2 / MeCys, 0.77; Leu, Hypotaurine, MCSO2, 0.77; Trp, ADMA, MCSO2, 0.77; Trp, GABA, MCSO2, 0.77; GABA, hArg, MCSO2 / MeCys, 0.77; GABA, Kyn / Trp, MCSO2, 0.77; Ser, Kyn / BCAA, MCSO2, 0.77; Asn, Kyn / Trp, MCSO2, 0.77; His, MCSO2, MCSO2 / MeCys, 0.77; Arg, 3-MeHis, MCSO2, 0.77; Val, MCSO2, SDMA, 0.77; Met, hArg, MCSO2 / MeCys, 0.77; Leu, MCSO2 / MeCys, MeCys, 0.77; hArg, Kyn / BCAA, MCSO2 / MeCys, 0.77; Glu, Arg, MCSO2, 0.769; Glu, Leu, MCSO2, 0.769; Asn, Gln, MCSO2, 0.769; Gly, Phe, MCSO2, 0.769; His, Lys, MCSO2 / MeCys, 0.769; Arg, Val, MCSO2, 0.769; aABA, Tyr, MCSO2, 0.769; aABA, ADMA, MCSO2, 0.769; Tyr, Lys, MCSO2 / MeCys, 0.769; Orn, Kyn / Trp, MCSO2 / MeCys, 0.769; Lys, Leu, MCSO2 / MeCys, 0.769; Phe, MCSO2, N6-AcLys, 0.769; Kyn / BCAA, MCSO2, MCSO2 / MeCys, 0.769; Ser, GABA, MCSO2, 0.769; Gly, ADMA, MCSO2, 0.769; His, Hypotaurine, MCSO2, 0.769; Cit, MCSO2 / MeCys, N6-AcLys, 0.769; Pro, Phe, MCSO2, 0.769; Tyr, Kyn, MCSO2, 0.769; Tyr, Kyn / Trp, MCSO2, 0.769; Val, Kyn / BCAA, MCSO2, 0.769; Trp, 3-MeHis, MCSO2, 0.769; Kyn / Trp, MCSO2, MCSO1 / MCSO2, 0.769; Kyn / Trp, MCSO2, MCSO2 / MeCys, 0.769; MCSO2 / MeCys, MeCys, SDMA, 0.769; Glu, His, MCSO2, 0.769; Asn, Tyr, MCSO2, 0.769; Asn, Lys, MCSO2 / MeCys, 0.769; Gln, MCSO2, MCSO1 / MCSO2, 0.769; Thr, aABA, MCSO2, 0.769; aABA, Lys, MCSO2 / MeCys, 0.769; Lys, MCSO2 / MeCys, N6-AcLys, 0.769; Phe, Kyn / BCAA, MCSO2, 0.769; Phe, MCSO2, SDMA, 0.769; Hypotaurine, MCSO2, MCSO1 / MCSO2, 0.769; Kyn, Kyn / Trp, MCSO2, 0.769; Kyn, MeCys, N6-AcLys, 0.769; Glu, Ala, MCSO2, 0.769; Ser, Kyn / Trp, MCSO2, 0.769; Cit, Arg, MCSO2 / MeCys, 0.769; Arg, ADMA, MCSO2, 0.769; aABA, MCSO2, SDMA, 0.769; Lys, Trp, MCSO2 / MeCys, 0.769; Ile, Kyn / Trp, MCSO2, 0.769; Glu, Pro, MCSO2, 0.768; Gly, Hypotaurine, MCSO2, 0.768; Gly, Kyn, MCSO2, 0.768; His, Ile, MCSO2, 0.768; Cit, Lys, MeCys, 0.768; Arg, hArg, MCSO2 / MeCys, 0.768; aABA, Ile, MCSO2, 0.768; Tyr, Phe, MCSO2, 0.768; Tyr, Trp, MCSO2, 0.768; Trp, Kyn / Trp, MCSO2, 0.768; 3-MeHis, ADMA, MCSO2, 0.768; GABA, Kyn / BCAA, MCSO2, 0.768; Glu, Tyr, MCSO2, 0.768; Ser, MCSO2, SDMA, 0.768; His, Val, MCSO2, 0.768; His, Cystathionine, MCSO2, 0.768; Cit, Arg, MeCys, 0.768; aABA, Trp, MCSO2, 0.768; Leu, ADMA, MCSO2, 0.768; Leu, Cystathionine, MCSO2, 0.768; Trp, Kyn, MCSO2, 0.768; Trp, MCSO2 / MeCys, MeCys, 0.768; Tyr, Val, MCSO2, 0.768; Tyr, Ile, MCSO2, 0.768; Phe, hArg, MCSO2 / MeCys, 0.768; MCSO1 / MCSO2, MeCys, N6-AcLys, 0.768; Asn, Leu, MCSO2, 0.768; Gln, Ala, MCSO2, 0.768; His, hArg, MCSO2 / MeCys, 0.768; Cit, Arg, Put, 0.768; Cit, MCSO2 / MeCys, MeCys, 0.768; Tyr, MCSO2 / MeCys, MeCys, 0.768; Met, Lys, MCSO2 / MeCys, 0.768; Hypotaurine, Kyn / BCAA, MCSO2, 0.768; Kyn / BCAA, MCSO1 / MCSO2, MCSO2 / MeCys, 0.768; Kyn / BCAA, MeCys, N6-AcLys, 0.768; MCSO2, MCSO2 / MeCys, SDMA, 0.768; Gln, Trp, MCSO2, 0.767; Gln, Kyn / BCAA, MCSO2, 0.767; His, MCSO2, MeCys, 0.767; His, MeCys, SDMA, 0.767; Arg, Hypotaurine, MCSO2, 0.767; Tyr, Cystathionine, MCSO2, 0.767; Val, MCSO1 / MCSO2, MCSO2 / MeCys, 0.767; Trp, MCSO2, MCSO2 / MeCys, 0.767; 3-MeHis, Cystathionine, MCSO2, 0.767; MCSO1 / MCSO2, MCSO2 / MeCys, N6-AcLys, 0.767; Arg, Put, SDMA, 0.767; Leu, hArg, MCSO2 / MeCys, 0.767; GABA, Hypotaurine, MCSO2, 0.767; hArg, Kyn, MCSO2 / MeCys, 0.767; Hypotaurine, MCSO2, SDMA, 0.767; Kyn, MCSO2, MCSO1 / MCSO2, 0.767; MCSO1, MCSO1 / MCSO2, MCSO2 / MeCys, 0.767; Glu, Kyn / BCAA, MCSO2, 0.767; Asn, Trp, MCSO2, 0.767; Arg, MCSO2, MeCys, 0.767; Val, hArg, MCSO2 / MeCys, 0.767; Lys, Kyn, MeCys, 0.767; ADMA, GABA, MCSO2, 0.767; Kyn / Trp, MCSO2, SDMA, 0.767; Kyn / BCAA, MCSO2 / MeCys, MeCys, 0.767; Asn, GABA, MCSO2, 0.767; Thr, Kyn / BCAA, MCSO2 / MeCys, 0.767; aABA, GABA, MCSO2, 0.767; aABA, Kyn / Trp, MCSO2, 0.767; Val, ADMA, MCSO2, 0.767; Kyn / BCAA, MCSO2, SDMA, 0.767; MCSO2, MCSO1, MCSO1 / MCSO2, 0.767; Glu, ADMA, MCSO2, 0.766; Thr, MCSO2 / MeCys, SDMA, 0.766; Pro, MeCys, SDMA, 0.766; Val, MCSO2 / MeCys, MeCys, 0.766; Leu, MCSO2, MeCys, 0.766; Phe, Kyn / Trp, MCSO2, 0.766; Trp, Cystathionine, MCSO2, 0.766; Trp, Hypotaurine, MCSO2, 0.766; 3-MeHis, MCSO2, MeCys, 0.766; GABA, MCSO1 / MCSO2, MCSO2 / MeCys, 0.766; Kyn / Trp, Kyn / BCAA, MCSO2, 0.766; Asn, aABA, MCSO2, 0.766; Gly, Tyr, MCSO2, 0.766; Gln, aABA, MCSO2, 0.766; Gln, hArg, MCSO2 / MeCys, 0.766; Gln, MCSO2, SDMA, 0.766; His, Lys, MeCys, 0.766; Thr, GABA, MCSO2 / MeCys, 0.766; aABA, Phe, MCSO2, 0.766; aABA, MCSO2, MCSO2 / MeCys, 0.766; Tyr, Hypotaurine, MCSO2, 0.766; Met, MCSO1 / MCSO2, MeCys, 0.766; Lys, ADMA, MCSO2 / MeCys, 0.766; Lys, Kyn / Trp, MeCys, 0.766; Ile, MCSO2 / MeCys, MeCys, 0.766; Leu, Phe, MCSO2, 0.766; Leu, GABA, MCSO2, 0.766; Trp, hArg, MCSO2 / MeCys, 0.766; 3-MeHis, Hypotaurine, MCSO2, 0.766; 3-MeHis, MCSO2, MCSO2 / MeCys, 0.766; ADMA, hArg, MCSO2 / MeCys, 0.766; Cystathionine, hArg, MCSO2 / MeCys, 0.766; hArg, Hypotaurine, Put, 0.766; hArg, MCSO1, Put, 0.766; Kyn / Trp, MCSO2 / MeCys, MeCys, 0.766; Glu, Trp, MCSO2, 0.766; Glu, Kyn / Trp, MCSO2, 0.766; Ser, Ile, MCSO2, 0.766; Ser, Trp, MCSO2, 0.766; Ser, ADMA, MCSO2, 0.766; Gln, Lys, MeCys, 0.766; Gln, Leu, MCSO2, 0.766; Gln, Kyn / Trp, MCSO2, 0.766; aABA, Cystathionine, MCSO2, 0.766; Val, Kyn / Trp, MCSO2, 0.766; Ile, Kyn, MCSO2, 0.766; Leu, Trp, MCSO2, 0.766; 3-MeHis, MCSO2 / MeCys, MeCys, 0.766; ADMA, MCSO2 / MeCys, MeCys, 0.766; GABA, MCSO2, MCSO2 / MeCys, 0.766; Ser, 3-MeHis, MCSO2, 0.766; Cystathionine, MCSO2, SDMA, 0.766; hArg, MCSO1, MCSO2 / MeCys, 0.766; Kyn / BCAA, MCSO1 / MCSO2, Put, 0.766; Ser, Gln, MCSO2, 0.765; Thr, MCSO1 / MCSO2, MeCys, 0.765; aABA, Kyn, MCSO2, 0.765; Met, Put, SDMA, 0.765; Leu, MCSO2, MCSO2 / MeCys, 0.765; Phe, GABA, MCSO2, 0.765; ADMA, MCSO2, MCSO2 / MeCys, 0.765; Cystathionine, Kyn / BCAA, MCSO2, 0.765; GABA, Kyn, MCSO2, 0.765; Hypotaurine, Kyn / Trp, MCSO2, 0.765; MCSO2, MeCys, SDMA, 0.765; Asn, MCSO2, MCSO2 / MeCys, 0.765; Arg, aABA, MCSO2, 0.765; Pro, Put, SDMA, 0.765; Tyr, MCSO2, MeCys, 0.765; Val, Kyn, MCSO2, 0.765; Met, MCSO2 / MeCys, SDMA, 0.765; ADMA, Cystathionine, MCSO2, 0.765; ADMA, Hypotaurine, MCSO2, 0.765; GABA, MCSO2 / MeCys, MeCys, 0.765; Ser, hArg, MCSO2 / MeCys, 0.765; Gly, MCSO2, MeCys, 0.765; Gln, 3-MeHis, MCSO2, 0.765; Gln, ADMA, MCSO2, 0.765; Val, Trp, MCSO2, 0.765; Val, 3-MeHis, MCSO2, 0.765; Val, GABA, MCSO2, 0.765; Cystathionine, GABA, MCSO2, 0.765; Glu, GABA, MCSO2, 0.765; Glu, MCSO2, SDMA, 0.765; Ser, MCSO2, MeCys, 0.765; Asn, 3-MeHis, MCSO2, 0.765; Asn, ADMA, MCSO2, 0.765; Leu, 3-MeHis, MCSO2, 0.765; Gln, GABA, MCSO2, 0.764; aABA, MCSO2, MeCys, 0.764; Tyr, MCSO1 / MCSO2, MCSO2 / MeCys, 0.764; Lys, MeCys, N6-AcLys, 0.764; Ile, Trp, MCSO2, 0.764; Ile, 3-MeHis, MCSO2, 0.764; Phe, Trp, MCSO2, 0.764; Kyn / Trp, MCSO2, MeCys, 0.764; Ala, Put, SDMA, 0.764; Cit, hArg, Put, 0.764; aABA, Hypotaurine, MCSO2, 0.764; Ile, MCSO1 / MCSO2, MCSO2 / MeCys, 0.764; ADMA, Kyn, MCSO2, 0.764; Kyn / BCAA, MCSO2, MeCys, 0.764; Ser, Val, MCSO2, 0.764; Asn, hArg, MCSO2 / MeCys, 0.764; His, MCSO1, MCSO1 / MCSO2, 0.764; His, MCSO1 / MCSO2, MeCys, 0.764; Arg, MCSO1 / MCSO2, MCSO2 / MeCys, 0.764; Phe, 3-MeHis, MCSO2, 0.764; Phe, ADMA, MCSO2, 0.764; Trp, MCSO2, MeCys, 0.764; 3-MeHis, hArg, MCSO2 / MeCys, 0.764; ADMA, Put, SDMA, 0.764; Cystathionine, Kyn / Trp, MCSO2, 0.764; Glu, aABA, MCSO2, 0.764; Ser, Phe, MCSO2, 0.764; Met, Kyn / Trp, MCSO2 / MeCys, 0.764; Ile, Cystathionine, MCSO2, 0.764; Ile, hArg, MCSO2 / MeCys, 0.764; Ile, Hypotaurine, MCSO2, 0.764; Phe, Cystathionine, MCSO2, 0.764; Phe, MCSO2, MCSO2 / MeCys, 0.764; Trp, MCSO1 / MCSO2, MCSO2 / MeCys, 0.764; Asn, MCSO2 / MeCys, MeCys, 0.763; His, Cit, MCSO2 / MeCys, 0.763; Thr, Orn, MCSO2 / MeCys, 0.763; Phe, Hypotaurine, MCSO2, 0.763; ADMA, MCSO2, MeCys, 0.763; GABA, MCSO2, MeCys, 0.763; Ser, Kyn, MCSO2, 0.763; Asn, Hypotaurine, MCSO2, 0.763; Gly, MCSO1 / MCSO2, MCSO2 / MeCys, 0.763; Gly, MCSO2 / MeCys, MeCys, 0.763; His, hArg, Put, 0.763; Ala, MCSO1 / MCSO2, MeCys, 0.763; Val, Hypotaurine, MCSO2, 0.763; Met, Kyn, MCSO2 / MeCys, 0.763; Lys, MCSO1, MeCys, 0.763; Ile, Phe, MCSO2, 0.763; Ile, ADMA, MCSO2, 0.763; hArg, MCSO2 / MeCys, N6-AcLys, 0.763; MCSO1 / MCSO2, Put, SDMA, 0.763; Glu, Ser, MCSO2, 0.763; Gln, Phe, MCSO2, 0.763; Pro, MCSO1 / MCSO2, MeCys, 0.763; aABA, Val, MCSO2, 0.763;. aABA, MCSO2 / MeCys, MeCys, 0.763; Ile, MCSO2, MeCys, 0.763; Phe, MCSO2, MeCys, 0.763; Hypotaurine, MCSO2, MCSO2 / MeCys, 0.763; Ser, Hypotaurine, MCSO2, 0.763; aABA, hArg, MCSO2 / MeCys, 0.763; Orn, Kyn / BCAA, MCSO2 / MeCys, 0.763; Cystathionine, MCSO2, MCSO2 / MeCys, 0.763; Cystathionine, MCSO2, MeCys, 0.763; Kyn, MCSO2, MCSO2 / MeCys, 0.763; Glu, Phe, MCSO2, 0.762; Ser, MCSO2, MCSO2 / MeCys, 0.762; Ser, MCSO2 / MeCys, MeCys, 0.762; Asn, MCSO1 / MCSO2, MCSO2 / MeCys, 0.762; Thr, Lys, MeCys, 0.762; Val, Ile, MCSO2, 0.762; Kyn / Trp, MCSO1 / MCSO2, MCSO2 / MeCys, 0.762; Ser, Cystathionine, MCSO2, 0.762; Gln, Hypotaurine, MCSO2, 0.762; Cit, Met, MCSO2 / MeCys, 0.762; Cit, Met, MeCys, 0.762; aABA, Lys, MeCys, 0.762; Asn, Gly, MCSO2, 0.762; Asn, MCSO2, MeCys, 0.762; Gln, Kyn, MCSO2, 0.762; Gln, MCSO2, MeCys, 0.762; Thr, Phe, MCSO2 / MeCys, 0.762; Met, GABA, MCSO2 / MeCys, 0.762; Phe, Kyn, MCSO2, 0.762; Cystathionine, Hypotaurine, MCSO2, 0.762; Cystathionine, Kyn, MCSO2, 0.762; hArg, Kyn, Put, 0.762; MCSO1, MeCys, N6-AcLys, 0.762; Glu, 3-MeHis, MCSO2, 0.762; Gly, Thr, MCSO2 / MeCys, 0.762; His, Pro, MCSO2 / MeCys, 0.762; Thr, MCSO2 / MeCys, N6-AcLys, 0.762; Val, Cystathionine, MCSO2, 0.762; Lys, Cystathionine, MeCys, 0.762; Ile, MCSO2, MCSO2 / MeCys, 0.762; Kyn, MCSO2 / MeCys, MeCys, 0.762; Kyn / Trp, MCSO1 / MCSO2, Put, 0.762; Glu, MCSO2, MCSO2 / MeCys, 0.761; Ser, Thr, MeCys, 0.761; Asn, Cystathionine, MCSO2, 0.761; Gly, Lys, MeCys, 0.761; Ala, Lys, MeCys, 0.761; Ile, GABA, MCSO2, 0.761; Glu, Kyn, MCSO2, 0.761; Asn, Ile, MCSO2, 0.761; Asn, Kyn, MCSO2, 0.761; Thr, Kyn, MCSO2 / MeCys, 0.761; Cit, Orn, MeCys, 0.761; Leu, MCSO1 / MCSO2, MeCys, 0.761; Gln, Ile, MCSO2, 0.761; Gln, MCSO2, MCSO2 / MeCys, 0.761; Gln, MCSO2 / MeCys, MeCys, 0.761; Val, Lys, MeCys, 0.761; Lys, Phe, MeCys, 0.761; Kyn, MCSO2, MeCys, 0.761; Glu, Gln, MCSO2, 0.761; Thr, Cit, MeCys, 0.761; Cit, MCSO1 / MCSO2, MCSO2 / MeCys, 0.761; Pro, Kyn, MCSO2 / MeCys, 0.761; Pro, Kyn / BCAA, MCSO2 / MeCys, 0.761; Val, Phe, MCSO2, 0.761; Val, MCSO2, MeCys, 0.761; Met, MeCys, N6-AcLys, 0.761; Phe, MCSO2 / MeCys, MeCys, 0.761; Glu, Hypotaurine, MCSO2, 0.761; Gln, Val, MCSO2, 0.761; Gln, Cystathionine, MCSO2, 0.761; Tyr, hArg, MCSO2 / MeCys, 0.761; hArg, MCSO1 / MCSO2, Put, 0.761; MCSO1 / MCSO2, MCSO2 / MeCys, SDMA, 0.761; Glu, Cystathionine, MCSO2, 0.76; Val, MCSO2, MCSO2 / MeCys, 0.76; Met, MeCys, SDMA, 0.76; Orn, Put, SDMA, 0.76; Glu, Asn, MCSO2, 0.76; Glu, MCSO2, MeCys, 0.76; Asn, Lys, MeCys, 0.76; His, MCSO1 / MCSO2, MCSO2 / MeCys, 0.76; Met, Lys, MeCys, 0.76; Met, Kyn / BCAA, MCSO2 / MeCys, 0.76; Orn, Lys, MeCys, 0.76; Lys, GABA, MeCys, 0.76; Glu, MCSO2 / MeCys, MeCys, 0.76; Thr, Cystathionine, MCSO2 / MeCys, 0.76; Lys, ADMA, MeCys, 0.76; Thr, MCSO1, MCSO2 / MeCys, 0.76; Lys, Hypotaurine, MeCys, 0.76; Lys, Kyn / BCAA, MeCys, 0.76; Leu, Put, SDMA, 0.76; Cystathionine, MCSO2 / MeCys, MeCys, 0.76; Hypotaurine, MCSO1 / MCSO2, MCSO2 / MeCys, 0.76; Glu, Val, MCSO2, 0.759; Glu, Ile, MCSO2, 0.759; Ser, MCSO1 / MCSO2, MeCys, 0.759; Cit, MCSO1 / MCSO2, MeCys, 0.759; Val, MCSO1 / MCSO2, MeCys, 0.759; Hypotaurine, Kyn, MCSO2, 0.759; Asn, Phe, MCSO2, 0.759; Thr, Leu, MCSO2 / MeCys, 0.759; Pro, Lys, MeCys, 0.759; Pro, GABA, MCSO2 / MeCys, 0.759; Orn, MCSO2 / MeCys, SDMA, 0.759; Lys, 3-MeHis, MeCys, 0.759; Arg, Lys, MeCys, 0.759; Arg, MeCys, SDMA, 0.759; Hypotaurine, MCSO2 / MeCys, MeCys, 0.759; Asn, Val, MCSO2, 0.759; Gly, Put, SDMA, 0.759; Gln, MCSO1 / MCSO2, MCSO2 / MeCys, 0.759; His, Thr, MCSO2 / MeCys, 0.759; His, Cit, MeCys, 0.759; Met, Cystathionine, MCSO2 / MeCys, 0.759; Lys, Leu, MeCys, 0.759; Glu, Lys, MeCys, 0.758; Ser, Met, MeCys, 0.758; Asn, MCSO1 / MCSO2, MeCys, 0.758; Met, Phe, MCSO2 / MeCys, 0.758; Lys, Ile, MeCys, 0.758; Hypotaurine, MCSO2, MeCys, 0.758; Ala, Kyn / Trp, MCSO2 / MeCys, 0.758; aABA, MCSO1 / MCSO2, MCSO2 / MeCys, 0.758; Lys, Trp, MeCys, 0.758; Ile, MCSO1 / MCSO2, MeCys, 0.758; Hypotaurine, MCSO1 / MCSO2, MeCys, 0.758; Thr, Trp, MCSO2 / MeCys, 0.758; Pro, Cystathionine, MCSO2 / MeCys, 0.758; Gly, MCSO1 / MCSO2, MeCys, 0.758; Arg, Pro, MCSO2 / MeCys, 0.758; aABA, MeCys, N6-AcLys, 0.758; Cystathionine, hArg, Put, 0.758; Asn, Put, SDMA, 0.757; Cit, Lys, Put, 0.757; Glu, Thr, MCSO2 / MeCys, 0.757; Ser, MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; His, MeCys, N6-AcLys, 0.757; Pro, Met, MCSO2 / MeCys, 0.757; aABA, MCSO1 / MCSO2, Put, 0.757; Met, MCSO1, MeCys, 0.757; Ser, His, MeCys, 0.757; Thr, Ala, MCSO2 / MeCys, 0.757; Tyr, Lys, MeCys, 0.757; Orn, MCSO1 / MCSO2, MeCys, 0.757; Cystathionine, MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; MCSO1 / MCSO2, MeCys, SDMA, 0.757; His, Ala, MeCys, 0.757; Arg, MCSO1 / MCSO2, MeCys, 0.757; Pro, Kyn / Trp, MeCys, 0.757; Tyr, MCSO1 / MCSO2, MeCys, 0.757; Phe, MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; ADMA, MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; Kyn, MCSO1 / MCSO2, MCSO2 / MeCys, 0.757; Glu, MCSO1 / MCSO2, MCSO2 / MeCys, 0.756; Gln, His, MeCys, 0.756; Cit, Met, Put, 0.756; 3-MeHis, MCSO1 / MCSO2, MeCys, 0.756; 3-MeHis, Put, SDMA, 0.756; Asn, Thr, MCSO2 / MeCys, 0.756; Gly, Pro, MCSO2 / MeCys, 0.756; Gln, Thr, MCSO2 / MeCys, 0.756; Thr, Hypotaurine, MCSO2 / MeCys, 0.756; Lys, Kyn, Put, 0.756; Phe, MCSO1 / MCSO2, MeCys, 0.756; ADMA, MCSO1 / MCSO2, MeCys, 0.756; hArg, Kyn / BCAA, Put, 0.756; His, GABA, MCSO2 / MeCys, 0.756; Thr, aABA, MCSO2 / MeCys, 0.756; Met, Orn, MCSO2 / MeCys, 0.756; Orn, hArg, Put, 0.756; Trp, MCSO1 / MCSO2, MeCys, 0.756; Thr, Tyr, MCSO2 / MeCys, 0.756; Thr, ADMA, MCSO2 / MeCys, 0.756; Tyr, MeCys, N6-AcLys, 0.756; Cystathionine, MCSO1 / MCSO2, MeCys, 0.756; Cystathionine, MeCys, N6-AcLys, 0.756; GABA, MCSO1 / MCSO2, MeCys, 0.756; Gln, MCSO1 / MCSO2, MeCys, 0.755; Thr, Ile, MCSO2 / MeCys, 0.755; Ala, Orn, MCSO2 / MeCys, 0.755; Arg, Kyn / Trp, MCSO2 / MeCys, 0.755; Pro, Orn, MCSO2 / MeCys, 0.755; Gly, MCSO1, MeCys, 0.755; His, MCSO1 / MCSO2, Put, 0.755; Thr, Kyn, Put, 0.755; ADMA, Kyn / Trp, MCSO2 / MeCys, 0.755; Asn, Cit, MCSO2 / MeCys, 0.755; His, Kyn / Trp, MeCys, 0.755; GABA, Kyn / Trp, MCSO2 / MeCys, 0.755; Kyn / BCAA, MCSO1 / MCSO2, MeCys, 0.755; ADMA, Kyn / BCAA, MCSO2 / MeCys, 0.755; Glu, MCSO1 / MCSO2, MeCys, 0.754; Asn, hArg, Put, 0.754; Thr, Met, MCSO2 / MeCys, 0.754; Thr, 3-MeHis, MCSO2 / MeCys, 0.754; Thr, MeCys, N6-AcLys, 0.754; Ala, MCSO1 / MCSO2, Put, 0.754; Arg, Kyn / BCAA, MCSO2 / MeCys, 0.754; Lys, Kyn / Trp, Put, 0.754; Asn, MCSO2 / MeCys, SDMA, 0.754; His, MCSO2 / MeCys, SDMA, 0.754; Cit, MCSO1, MeCys, 0.754; aABA, hArg, Put, 0.754; Leu, MeCys, N6-AcLys, 0.754; Leu, MeCys, SDMA, 0.754; 3-MeHis, hArg, Put, 0.754; ADMA, Kyn / Trp, Put, 0.754; Asn, Pro, MCSO2 / MeCys, 0.754; Gln, Arg, MeCys, 0.754; Trp, MeCys, N6-AcLys, 0.754; 3-MeHis, MCSO1 / MCSO2, MCSO2 / MeCys, 0.754; His, Orn, MCSO2 / MeCys, 0.754; Ala, MeCys, N6-AcLys, 0.754; aABA, Put, SDMA, 0.754; Lys, hArg, Put, 0.754; Kyn / Trp, N6-AcLys, Put, 0.754; His, MCSO1, MeCys, 0.753; Thr, Kyn / Trp, Put, 0.753; Arg, GABA, MCSO2 / MeCys, 0.753; Orn, GABA, MCSO2 / MeCys, 0.753; MCSO1, MCSO1 / MCSO2, MeCys, 0.753; Thr, MCSO1, MCSO1 / MCSO2, 0.753; Thr, MCSO1 / MCSO2, Put, 0.753; Ala, hArg, Put, 0.753; Pro, hArg, Put, 0.753; Leu, MCSO2 / MeCys, SDMA, 0.753; ADMA, MCSO2 / MeCys, SDMA, 0.753; His, Pro, MeCys, 0.753; His, Kyn / Trp, MCSO2 / MeCys, 0.753; Cit, MCSO1 / MCSO2, Put, 0.753; Arg, MCSO2 / MeCys, SDMA, 0.753; Pro, aABA, MCSO2 / MeCys, 0.753; His, Kyn / Trp, Put, 0.753; His, Kyn / BCAA, MCSO2 / MeCys, 0.753; Thr, Arg, MCSO2 / MeCys, 0.753; Thr, Val, MCSO2 / MeCys, 0.753; Ala, Kyn / BCAA, MCSO2 / MeCys, 0.753; Ala, MCSO1, MeCys, 0.753; Pro, Hypotaurine, MCSO2 / MeCys, 0.753; Arg, hArg, Put, 0.752; Pro, Leu, MCSO2 / MeCys, 0.752; GABA, hArg, Put, 0.752; MCSO1, Put, SDMA, 0.752; Ser, MeCys, N6-AcLys, 0.752; His, aABA, MeCys, 0.752; His, Kyn, MCSO2 / MeCys, 0.752; Ala, MCSO2 / MeCys, SDMA, 0.752; Lys, 3-MeHis, Put, 0.752; Phe, hArg, Put, 0.752; 3-MeHis, MeCys, N6-AcLys, 0.752; Gln, Met, MeCys, 0.752; Orn, MCSO1, MCSO1 / MCSO2, 0.752; ADMA, MeCys, SDMA, 0.752; Hypotaurine, Put, SDMA, 0.752; Asn, Kyn / Trp, MCSO2 / MeCys, 0.752; His, Ala, MCSO2 / MeCys, 0.752; Thr, MCSO1, MeCys, 0.752; Arg, Kyn / Trp, Put, 0.752; Arg, MeCys, N6-AcLys, 0.752; GABA, MCSO1, MCSO1 / MCSO2, 0.752; Kyn, MCSO1 / MCSO2, Put, 0.752; Pro, Trp, MCSO2 / MeCys, 0.751; Orn, Trp, MCSO2 / MeCys, 0.751; Gly, Kyn / BCAA, MCSO2 / MeCys, 0.751; Gly, MeCys, SDMA, 0.751; His, Met, MeCys, 0.751; Thr, MeCys, SDMA, 0.751; Cit, Orn, Put, 0.751; Orn, Kyn, MCSO2 / MeCys, 0.751; Glu, Pro, MCSO2 / MeCys, 0.751; Ser, Arg, MeCys, 0.751; Gln, hArg, Put, 0.751; His, Kyn, MeCys, 0.751; Cit, ADMA, MeCys, 0.751; Pro, MCSO2 / MeCys, N6-AcLys, 0.751; aABA, MCSO1 / MCSO2, MeCys, 0.751; Met, Kyn / BCAA, MeCys, 0.751; Met, MCSO1, MCSO2 / MeCys, 0.751; Orn, MCSO1, MeCys, 0.751; Gly, Kyn / Trp, MCSO2 / MeCys, 0.751; His, Kyn / BCAA, MeCys, 0.751; Ala, MeCys, SDMA, 0.751; Pro, MCSO1, MCSO2 / MeCys, 0.751; Met, Kyn, MeCys, 0.751; Orn, Kyn / Trp, MeCys, 0.751; Cit, Pro, MeCys, 0.75; Tyr, MeCys, SDMA, 0.75; Met, hArg, Put, 0.75; Met, Kyn / Trp, Put, 0.75; Leu, MCSO1, MeCys, 0.75; His, Arg, MeCys, 0.75; Ala, Kyn, MCSO2 / MeCys, 0.75; Met, Orn, MeCys, 0.75; Leu, Kyn, MCSO2 / MeCys, 0.75; Gln, Thr, MeCys, 0.75; Pro, Phe, MCSO2 / MeCys, 0.75; Ile, Leu, MeCys, 0.75; Leu, Kyn / Trp, MCSO2 / MeCys, 0.75; Kyn / BCAA, MCSO2 / MeCys, N6-AcLys, 0.75; Glu, MeCys, N6-AcLys, 0.75; His, Kyn, Put, 0.75; Pro, ADMA, MCSO2 / MeCys, 0.75; Val, hArg, Put, 0.75;. Leu, hArg, Put, 0.75; hArg, N6-AcLys, Put, 0.75; Pro, Val, MCSO2 / MeCys, 0.75; Tyr, hArg, Put, 0.75; Trp, MeCys, SDMA, 0.75; 3-MeHis, MCSO2 / MeCys, SDMA, 0.75

Claims

1. The method includes the step of acquiring information for evaluating the state of mild cognitive impairment of the subject using the concentration values ​​of Lys and Cit in the blood of the subject, or the value of the formula calculated using a formula including variables into which the concentration values ​​are substituted and the concentration values; An acquisition method characterized by the above.

2. the acquiring step is executed by a control unit of an information processing device including a control unit; The acquisition method according to claim 1 ,

3. A calculation step of calculating the value of the formula using an equation for evaluating the state of mild cognitive impairment including the concentration values ​​of Lys and Cit in the blood of the subject to be evaluated and variables into which the concentration values ​​are substituted; A calculation method characterized by:

4. the calculation step is executed by a control unit of an information processing device including a control unit; The calculation method according to claim 3 ,

5. An evaluation device including a control unit, The control unit is An evaluation means for evaluating the state of mild cognitive impairment of the subject using the concentration values ​​of Lys and Cit in the blood of the subject, or a formula including variables into which the concentration values ​​are substituted and a value of the formula calculated using the concentration values. To have An evaluation device comprising:

6. A terminal device that provides blood data related to the concentration value or a value of the formula is communicatively connected via a network; The control unit is a data receiving means for receiving the blood data of the subject to be evaluated or the value of the formula transmitted from the terminal device; a result transmission means for transmitting the evaluation result obtained by the evaluation means to the terminal device; Further equipped with the evaluation means uses the concentration value or the value of the formula included in the blood data received by the data receiving means; The evaluation device according to claim 5 .

7. A calculation device including a control unit, The control unit is A calculation means for calculating the value of an equation for evaluating the state of mild cognitive impairment, the equation including the concentration values ​​of Lys and Cit in the blood of the subject to be evaluated and variables into which the concentration values ​​are substituted. To have A calculation device comprising:

8. An evaluation program to be executed in an information processing device having a control unit, To be executed in the control unit, An evaluation step of evaluating the state of mild cognitive impairment for the subject using the concentration values ​​of Lys and Cit in the blood of the subject, or the value of the formula calculated using a formula including variables into which the concentration values ​​are substituted and the concentration values. containing, An evaluation program that features:

9. A calculation program to be executed in an information processing device having a control unit, To be executed in the control unit, A calculation step of calculating the value of the formula using an equation for evaluating the state of mild cognitive impairment including the concentration values ​​of Lys and Cit in the blood of the subject to be evaluated and variables into which the concentration values ​​are substituted. containing, A calculation program comprising:

10. 10. A computer-readable recording medium having the program according to claim 8 or 9 recorded thereon.

11. An evaluation system comprising: an evaluation device including a control unit; and a terminal device including a control unit and providing blood data relating to concentration values ​​of Lys and Cit in the blood of a subject to be evaluated, or a formula including variables into which the concentration values ​​are substituted and a value of the formula calculated using the concentration values, said evaluation system being communicably connected via a network, The control unit of the terminal device a data transmission means for transmitting the blood data of the evaluation subject or the value of the formula to the evaluation device; A result receiving means for receiving an evaluation result regarding the state of mild cognitive impairment of the evaluation subject transmitted from the evaluation device; Equipped with The control unit of the evaluation device a data receiving means for receiving the blood data of the subject to be evaluated or the value of the formula transmitted from the terminal device; An evaluation means for evaluating a state of mild cognitive impairment of the subject by using the concentration value or the value of the formula included in the blood data of the subject received by the data receiving means; a result transmission means for transmitting the evaluation result obtained by the evaluation means to the terminal device; To have A rating system characterized by:

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