Experimental method for animal model depression degree evaluation based on metabonomics

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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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 By comparing the correlation between the plasma samples and the compounds in the brain tissue samples, it is used as the basis for using the plasma markers to reflect the metabolome changes in the brain tissue; at the same time, the model group and the control group are used as the training set to construct the model, and the drug administration group is used as the training set. The prediction ability of the verification set test model is used as an index to evaluate the degree of depression by using the change of plasma metabolome, which solves the problems of many uncontrollable factors, complicated preparation and strong animal subjectivity in traditional behavioral experiments

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