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Application of exosome metabolite as bipolar affective disorder marker

A bipolar disorder, metabolite technology, used in biology and medicine, to address issues such as differences in diagnostic results

Active Publication Date: 2022-02-01
佛山市第三人民医院(佛山市精神卫生中心)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current clinical diagnosis of bipolar disorder is mainly based on the patient's detailed medical history and mental symptoms, and comprehensive judgments are made through subjective scores such as Hamilton and Young's Mania Scale. Due to the different subjective experiences of doctors, the diagnostic results are also different.

Method used

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  • Application of exosome metabolite as bipolar affective disorder marker
  • Application of exosome metabolite as bipolar affective disorder marker
  • Application of exosome metabolite as bipolar affective disorder marker

Examples

Experimental program
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Effect test

Embodiment 1

[0117] Subjects were 32 patients with double-phase emotional disorders accused by the Third People's Hospital of Foshan, and recruited 40 healthy volunteers that were aged and gender-matched as a control. In addition, 31 patients with depression and 42 patients with schizophrenia were also included. All physicians involved in diagnosis have a psychiatric practitioner qualification and have more than 10 years of psychiatrics experience. Skilled using SCID-1 checklists, master the ICD-10 and DSM-V diagnostic criteria, using Hamilton Depressive Table ( HAMD) and Melody Table (BRMS) evaluate the state of psychosis in patients with double-phase emotional disorders; the PNASS meter is used to assess the state of mental illnesses in patients with schizophrenia; using Hamilton Depression Table (HAMD) and Montgomery The depression table (MADRS) evaluates the state of psychiatrical conditions of depression, and the operational norms are unified, and consistency detection meets the requireme...

Embodiment 2

[0127] After the sample of the sample of Example 1, the sample was analyzed by the entire epiton metabolite analysis, and the expression abundance was statistically analyzed.

[0128] 1. Screening significant differences of exossthetic metabolites

[0129] In this embodiment, there are 143 samples of the sample, including 40 healthy controls, 32 dual-phase emotional disorders, 31 depression patients and 40 schizophrenia patients. In this embodiment, a total of 350 extratrial metabolites entered a differential analysis.

[0130] In the present embodiment, the difference analysis was performed using OPLS-DA, and the p-value> 1.0 is a different metabolite, and 38 different metabolites (Table 2) were finally screened. figure 2 The S-PLOT diagram of OPLS-DA analysis is shown in which the horizontal coordinates indicate the coordinate correlation coefficient of the main component and the metabolite, and the ordinate represents the correlation coefficient of the main component and the me...

Embodiment 3

[0134] A random forest algorithm model training for 16 cases of training sets and 12 patients with double-phase emotional disorders, and in the present invention, the present invention further analyzes the exocial metabolism markers from the first batch of data differentially expressing the epigrandotrans, and passed Many analysts were analyzed, and 15 different metabolites were finally screened (Table 3).

[0135] Table 3. Export metabolism markers from the training set screen

[0136]

[0137] Analysis results:

[0138] 1. Screening the proprietary metabolism marker

[0139] The expression of 15 extratrial metabolic markers in the training concentration of the present invention see Table 2. Its ROC curve is like Figure 3A Indicated. 15 extratrial metabolism markers were 83.8% in the training set sample.

[0140] 2. Verify the filtered exosomal metabolism marker

[0141] Through the test set sample verification training set, 15 extratrogen metabolism markers were diagnosed, and...

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Abstract

The invention provides an application of an exosome metabolite as a bipolar affective disorder marker. Specifically, the invention provides application of a reagent material and / or instrument equipment for detecting the exosome metabolite level in a sample from an individual to be detected in preparation of a detection system for diagnosing the bipolar affective disorder disease risk, and the exosome metabolite comprises phosphoric acid, chenodeoxycholic acid, lysophosphatidylethanolamine 14:0, N-acetyl methionine, 13-oxo-9Z,11E-octadecadienoic acid, glycine, 1-naphthylacetic acid, 2-aminoethanesulfonic acid / taurine, D-2-aminobutyric acid, biopterin, glucosamine, lysophosphatidylcholine 18:0, lysophosphatidylethanolamine 18:0, lysophosphatidylcholine 20:1, and PAF C-16. According to the invention, positive help can be provided for pathogenesis of bipolar affective disorder and research of new targeted therapy means.

Description

Technical field [0001] The present invention relates to a biomarker and related applications for diagnosing a double-phase emotional disorder. In particular, there is a technique of diagnosing a dual-phase emotional disorder disease suspected patient, belonging to biology and medicine. Technical field. Background technique [0002] Bipolardisorder, BD) is also known as bipolar disorders, is a mood disorder that has both manile attacks or light crazy, accompanied by depression. The most important feature of patients is that emotions are undulating, often because some fine and irrelevant things cannot be restrained or excited. [0003] At present, the causes of double-phase emotional disorders are still unclear. Studies have shown that various factors such as biochemistry, neuroendocrine, genetic, biological rhythm are related to the occurrence of bio-related emotional disorders. When patients have onset, there will be impulse behaviors, attack behaviors, causing self-injury or inj...

Claims

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Application Information

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IPC IPC(8): G01N33/50
CPCG01N33/50G01N2800/304
Inventor 谢国军李晓玲黄炜俞洋徐彩霞郑广恩杜洋程勇
Owner 佛山市第三人民医院(佛山市精神卫生中心)
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