170 results about "Metabolome" patented technology

The invention comprises methods for diagnosing the risk of onset of type 1 diabetes and for preventing the onset of type 1 diabetes. The genetic background, metabolomes, antibodies and diversity of gut microbiota of an individual can be used for diagnosis.

The invention discloses a method for simultaneous extraction and analysis of a metabolite group and a lipid group in microtissue. The method comprises the following steps: freeze drying to-be-analyzed microtissue, accurately weighing 1 to 25 mg of the freeze-dried microtissue and adding solvents like methanol (MeOH), methyl tert butyl ether (MTBE) and water in certain proportion for extraction; allowing a solution obtained after completion of extraction to be divided into two layers, wherein an upper layer mainly contains nonpolar metabolites and lipids, and the lower layer mainly comprises polar and medium-polar metabolites; and subjecting the upper-layer solution and the lower-layer solution to mixing in proportion and freeze-drying, then carrying out redissolving and then metabonomical analysis based on liquid chromatography-mass spectrometry, subjecting the upper-layer solution to freeze-drying and then to redissolving and carrying out lipidomical analysis based on liquid chromatography-mass spectrometry. The method has the following advantages: metabolites and lipids are extracted as many as possible through one extraction of a small amount of tissue, and through metabonomical and lipidomical analysis, the amount of a tissue sample is saved, which benefits other biochemical analysis of the tissue sample.

The present invention provides a novel oral cancer and periodontal disease salivary metabolome for use in the diagnosis or for providing a prognosis for oral cancer and periodontal disease in an individual. The present invention also provides novel methods of diagnosing or providing a prognosis for oral cancer or periodontal disease by detecting metabolites found in the saliva of an individual. Finally, the present invention provides kits for the detection of salivary metabolites useful in the diagnosis or prognosis of oral cancer and periodontal disease in an individual.

The invention provides methods for characterizing metabolic profiles, phenotypic profiles and trait profiles in plants or groups of plants. Additionally, methods for establishing an unbiased model between a phenotypic profile and a metabolic profile, or between a trait profile and metabolic profile, are also provided by the invention. Further, methods for using such unbiased models to accurately predict the development of a phenotype of interest or a trait of interest in an independent, immature plant are also provided. In one embodiment, immature plants are selected for use based on their predicted development of a phenotype or trait of interest.

Described herein in various embodiments are methods for using quantitative and/or comparative lipid metabolite data, particularly for identifying and interpreting individual metabolomic profiles as indicative of metabolic status. The provided methods, for instance, allow analysis of the likelihood or progression of weight gain or weight loss, growth or wasting, obesity, diabetes, and aging in an individual based on measurements of the measurement of the quantity of one or more lipid biomarkers, profiles of such markers, or ratios of such markers.

The present invention aims to provide a time-of-flight based mass microscope system for an ultra-high speed multi-mode mass analysis, for using a laser beam or an ion beam simultaneously to enable both a low molecular weight analysis such as for drugs/metabolome/lipids/peptides and a high molecular weight analysis such as for genes/proteins, without being limited by the molecular weight of the object being analyzed, and for significantly increasing the measuring speed by using a microscope method instead of a microprobe method.

Methods useful for reducing or preventing non-alcoholic steatohepatitis or hepatic steatosis are provided herein. Such methods may comprise administering to a subject in need thereof a sirtuin pathway activator and/or PDE5 inhibitor alone or in combination with an amount of a branched amino acid in free amino acid form, or a metabolite thereof. Also provided herein are compositions and kits for practicing any of the methods described herein.

The invention discloses a method for analyzing amine substances in dansyl chloride derived-plasma based on liquid chromatography mass spectrometry. The method is characterized in that dansyl chloride is used as a derivatization reagent to perform derivatization on a metabolite containing primary amine and secondary amine, therefore the retention capability of the amine substances in reversion phase chromatography is increased, the ionization efficiency in mass spectrometric detection is increased, and the purpose of increasing the quantitative accuracy and detection sensitivity of the amine substances is achieved. The method has wide coverage for amine metabolites (comprising amino acid, methylation products, acetylation products, dipeptide and the like), can utilize 100 [mu]L of plasma samples to detect 113 amine substances, supplies the outline information of metabolome of the amine substances, and has the characteristics of good specificity, high accuracy and repeatability, less reagent consumption and the like.

The invention discloses a metabonomics-based diagnosis marker for chronic obstructive pulmonary disease and application thereof. The diagnosis marker comprises the following 28 blood plasma metabolismmarkers: phosphatidylcholine PC 16:1-36:3, phosphatidylcholine PC 26:0-22:4, phosphatidylcholine PC 26:0-22:3, phosphatidylcholine PC 47:5e, phosphatidylcholine PC 44:11e, phosphatidylcholine PC 16:0-24:5, phosphatidylcholine PC 20:2-20:3, phosphatidylcholine PC 40:10, phosphatidylcholine PC 38:9e, phosphatidylcholine PC 18:1-20:4, phosphatidylcholine PC 16:0-20:3, phenylacetaldehyde, dihydrouracil, nicotinamide, 4-methoxycinnamic acid, ketovaline, threonine, DL-3-aminoisobutyric acid, pyruvic acid, stachyose, caffeic acid, N, N-dimethylaniline, maltotriose, D(-)-gulonate-gamma-lactone, and L-asparaginase. The marker provided by the invention has good classification on metabolome data of patients suffering chronic obstructive pulmonary disease and healthy people, and can accurately distinguish the patients suffering chronic obstructive pulmonary disease from the healthy people.

The invention provides a group of biomarkers which can be used for detecting liver fibrosis and cirrhosis. The biomarkers refer to metabolite components existing in a biological sample of a subject body and comprise a plurality of metabolites, wherein the metabolites are selected from cholic acid, amino acid and fatty acid. Metabolite combination comprises at least one amino acid, fatty acid and cholic acid, the metabolite combination is differentially expressed in at least one target plasma or serum and in a control plasma or serum. The biomarkers can optionally be combined with clinical indicators for diagnosis of liver fibrosis in the subject body. The biomarker composition has the characteristics of high sensitivity and specificity for pathological staging diagnosis of liver fibrosis patients, and can be clinically applied as a non-invasive means to improve clinical diagnosis and reduce puncture pain of the patients. The invention further provides a use method of the biomarkers andkits containing the biomarkers.

Present invention relate to a combination of experimental and computational workflows that allow characterization of skin and subcutaneous tissue microbial flora and its associated metabolome, aiming to first evaluate an individual's skin and subcutaneous tissue to determine if any skin condition is as a result of an imbalance or absence of commensal or mutualistic microorganisms or their associated metabolites. The methods and the associated computational platform provided herein relate to conducting a customized or personalized test and obtaining customized or personalized information regarding the skin and subcutaneous tissue flora and its associated metabolome there from also have been disclosed.

The invention discloses an intracellular metabolic profiling high-flux analysis method of a few of cells (with the number of 103-104). The method comprises simple and efficient cell quenching and metabolite extraction, metabolite derivatization and mass spectrometric detection. The intracellular metabolic profiling high-throughput analysis method has the characteristics of simpleness, fastness, high sensitivity and good repeatability and is suitable for high-throughput analysis of metabolome of cells cultured through a 96-well plate and cells with a low yield, wherein the analysis fields comprise drug large-scale screening, evaluation and stem cell research.

Provided herein is a system and method for analyzing microarray data (transcriptome profiles), metabolite data (metabolome profiles), protein level data (proteome profiles), or any combination thereof to determine the biochemical pathways affected by a treatment. The system and method can be used to generate biochemical pathway information for any organism for which metabolic profile data can be obtained. The system and method may allow users to query the pathways generated and to filter the results of queries based on the -omic profile data, pathways involving molecules of interest, notions of biochemical importance, milestone molecules, and other factors. The system and method may also be suitable for discovery of regulatory sequences in genes. In an exemplary use, the system and method can be utilized to identify three genes involved in “de novo” ammonia “biosynthesis” that are induced by light, and was able to identify a putative cis-element, GWTTGTGG, that is likely involved in the regulation of those genes.

The invention discloses a Botrytis cinerea metabolome sample pretreatment method, and a metabolome detection method based on gas chromatography-mass spectrometry (GC-MS). The Botrytis cinerea metabolome sample pretreatment method comprises the following steps: culturing Botrytis cinerea on a PDA plate paved with glass paper for 2-4d (preferably 3d), collecting mycelia, inactivating the mycelia by liquid nitrogen, and preserving the inactivated mycelia in an ultralow temperature freezer; carrying out freeze grinding crushing on the obtained mycelium sample, extracting metabolome, and carrying out enzyme inactivation by adopting a frozen methanol-water mixture; and centrifuging, drying, and carrying out an oximation (or hydrazone formation) and silylation two-step derivatization reaction to obtain the pretreated sample for GC-MS detection. The invention also provides the sample detection method through GC-MS. The detection method is carried out under the following detection conditions: a HP-5MS capillary column (30m*0.25mm*0.25[u]m), a sample size of 1[mu]L, programmed heating, an ion source temperature of 230DEG C and a full scanning range of m/z 20-650. Metabolome detection results with good reappearance can be obtained through the extraction and detection methods.

Described are platforms, systems, media, and methods for providing a biologic information visual synthesis application, the biologic information including one or more of: genome data, microbiome data, and metabolome data.

The invention discloses a metabonomics analysis method base on acute anaphylactic reaction. The invention mainly starts from the systems biology, and applies a UPLC-QTof/MS technology platform for UPLC and SPE-RRLC-Q-TOF combination, and establishes an acute anaphylactic reaction guinea pig serum metabonomics evaluation model, and provides a basis for further research of medicament acute anaphylactic reaction. During analysis, the UPLC and SPE-RRLC-Q-TOF combination technology is used for detecting serum samples of normal guinea pig and experiment guinea pig with acute anaphylactic reaction generated by induction, and a metabolome spectrogram is obtained by an acquisition method after optimization, and a mode identification method suitable for evaluating animal acute anaphylactic reaction is established for analyzing the metabolome data, which establishes a base for subsequently and furtherly screening biological tag with characteristics and developing a new animal acute anaphylactic reaction detection method.

The invention discloses a method for analyzing a microalgae metabolome, comprising the following steps: collecting and quenching microalgae cells, extracting metabolites in the cells, carrying out derivatization on the metabolites, and finally analyzing a sample through GC-MS to obtain a metabolome result. According to the invention, the method relates to the termination of metabolic reaction, the extraction of the metabolites, and the analysis of the metabolites, thus qualitative and quantitative results of the microalgae metabolites under different cultural conditions are acquired. The method has important meanings for promoting the research of microalgae metabolism.

The invention relates to a biomarker for preoperative identification of benign and malignant thyroid nodules, a kit and application thereof. The level of 17 metabolites in peripheral blood plasma of a thyroid nodule patient is detected through metabonomics analysis, and omics analysis and a machine learning method are combined to construct a diagnosis model and evaluate the thyroid cancer diagnosis efficiency by using a subject working curve (ROC). The area of the metabolic marker combination diagnosis model composed of the metabolites under the ROC curve in thyroid nodule diagnosis can reach 95.05%, the sensitivity and specificity are both higher than 88%, and the metabolite marker combination diagnosis model can be applied to identification of thyroid benign and malignant nodules.

Disclosed is a method for determining the age of ginseng roots using chromatography-mass spectroscopy. It comprises: extracting a metabolome from a ginseng sample; subjecting the metabolome to liquid chromatography-mass spectroscopy (LC/MS) or gas chromatography-mass spectroscopy (GC/MS) to afford an analysis result; converting the LC/MS or GC/MS analysis result to statistically accessible data; and performing a statistical analysis of the data to determine the age of ginseng sample. Based on the metabolite fingerprinting of metabolomics, the method can determine the exact age of ginseng roots from a very small amount of roots within a short time in a non-destructive manner with minimal damage to the roots.

The invention discloses a Xinjiang artemisia plant metabonomics analysis method. The method comprises the following steps: 1) taking dry powder of different tissue organs of Xinjiang artemisia, respectively performing steps of extraction with an organic solvent, ultrasonic wave, centrifugation, and condensation to obtain a concentrate, then performing redissolving, ultrasonic wave, centrifugationand filtering on the concentrate, and taking supernatants of metabolome of the different tissue organs; 2) employing a liquid chromatogram-tandem mass spectrometry on the supernatants of metabolome ofthe different tissue organs, and processing the obtained data; employing multivariable statistics analysis to obtain differential variables, according to a high-resolution mass-to-charge ratio and tandem mass spectrum data of the differential metabolite, and combining a metabolite database Metlin retrieval contrast analysis, obtaining the difference of the plant metabolome of the different tissueorgans of the Xinjiang artemisia. The method has the advantages that pre-treatment operation on a sample is simple, the stability of an analysis method is good, sensitivity is high, a metabolite covering range is wide, and the metabolome information of the plant can be efficiently and comprehensively obtained.

The invention relates to the field of biological analysis methods, and in particular to an analysis method of cecal metabolome in a broiler chicken. The change of metabolites and metabolic pathways ofcecal contents after the broiler chicken eats a yeast culture produced at different fermentation time is detected by jointly using a gas chromatography-mass spectrometry, thereby determining the influence of the yeast culture on the cecal metabolic regulation and the metabolites of the broiler chicken. Metabolomics data show that yeast culture is used for feeding the broiler chicken, the cecal differential metabolites mainly involve in amino acid metabolism and cholesterol metabolism, and participates in fat, vitamin digestion and absorption processes.

The invention discloses a sample pretreatment method for plant metabolome analysis. The method comprises the following steps: sampling and inactivating, sample homogenizing and grinding, centrifugal filtration and the like; various tissue parts are separately sampled, are frozen and inactivated quickly by adopting liquid nitrogen, and are homogenized and ground by high-speed oscillation in a liquid nitrogen environment; a mixed sample is extracted by adopting ultrasonic in an assistant manner after being obtained; finally, protein is removed through high-speed centrifugation. According to the sample pretreatment method, the defects of temperature change, easiness in pollution, serious sample waste, relatively poor repeatability, uneven sample mixing, relatively low work efficiency, high operating danger coefficient, high requirements on the proficiency and work experience of operating personnel and the like are overcome. The sample pretreatment method can be well applied to hard tissue sampling, homogenizing, grinding and extracting of woody plant samples of tea trees and the like, and is a rapid, nondestructive and pollution-free sample pretreatment technology for performing a metabonomics analysis test. The sample pretreatment method can also be applied to a quality component analysis, RNA (Ribonucleic Acid) extraction, a proteomics analysis and the like.