Experimental method for animal model depression degree evaluation based on metabonomics

A technology of metabolomics and animal models, applied in the experimental field of evaluating the degree of depression in animal models based on metabolomics, can solve problems such as complex preparation, many uncontrollable factors, and strong subjectivity of animals

Inactive Publication Date: 2017-05-31
NANJING MEDICAL UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an experimental method for evaluating the degree of depression in an animal model based on metabolomics, by using a metabolomics platform based on high-resolution mass spectrometry to comprehensively and accurately measure endogenous small molecule metabolites in biological samples , based on the obtained metabolic profile data that has been properly pre-processed combined with univariate and multivariate statistical methods, the differential metabolites between different samples and between different groups were screened out, and the differential metabolism shared by the three samples was used to B

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  • Experimental method for animal model depression degree evaluation based on metabonomics
  • Experimental method for animal model depression degree evaluation based on metabonomics
  • Experimental method for animal model depression degree evaluation based on metabonomics

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[0052] The present invention will be further described below in conjunction with specific embodiments.

[0053] An experimental method for evaluating the degree of depression in an animal model based on metabolomics, including the following steps:

[0054] S1 model construction and evaluation: The experimental animals were divided into a control group, a chronic mild unpredictable mild stress (CUMS) model group, and a paroxetine hydrochloride antidepressant positive administration group. Three groups were treated for long-term stress modeling. In the process of modeling, conduct behavioral experiments to evaluate model construction;

[0055] S2 Sample collection and processing: After all animals have undergone the behavioral experiment described in step S1, the three groups of animals are respectively subjected to pre-processing of their plasma samples and small molecule metabolites in the brain tissue by using methanol to precipitate proteins. , And finally collect plasma, hippocam...

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Abstract

The invention discloses an experimental method for animal model depression degree evaluation based on metabonomics. The experimental method comprises the following steps: comprehensively and accurately determining endogenous small molecule metabolites in a biological sample by utilizing a metabonomics platform based on high-resolution mass spectrum, screening different metabolites among different samples and different groups according to the obtained metabolic spectrum data by combining a single-variable multi-variable statistical method, utilizing a common different metabolite among three samples, comparing correlation of compounds in a blood plasma sample and a brain tissue sample, and taking a comparison result as a basis of reflecting change of metabolome in brain tissues by utilizing a blood plasma marker; meanwhile, taking a model group and a control group as a training set to construct a model and an administration group as predication capability of a validation set test model, which is an index for evaluating the depression degree by utilizing the change of the blood plasma metabolome. The experimental method disclosed by the invention can be used for solving the problems that the traditional behavioral experiment has many uncontrollable factors, preparation is relatively complex and animal subjectivity is stronger.

Description

technical field [0001] The present invention relates to a new method for quantitatively evaluating the degree of depression in animal models, in particular to a quantitative detection of endogenous small molecule metabolites in multiple samples in rats based on an ultra-high-efficiency liquid phase tandem high-resolution electrostatic field orbitrap mass spectrometry metabolomics platform , using univariate and multivariate statistical processing methods to analyze data to construct mathematical models, and compare metabolomic changes with behavioral experimental results to quantitatively evaluate the experimental method of depression, that is, an experimental method for evaluating the degree of depression in animal models based on metabolomics . Background technique [0002] A large number of studies have shown that there are significant physiological, biochemical and tissue abnormal changes in the body of patients with depression. However, due to the complexity and diversi...

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Application Information

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IPC IPC(8): G01N30/72G01N30/02
CPCG01N30/7266G01N30/02
Inventor 李磊俞心愉王迪乔善磊
Owner NANJING MEDICAL UNIV
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