Tissue metabolism network research method for toxic effect of atmospheric particulate matters

Abstract

The invention provides a tissue metabolism network research method for a toxic effect of atmospheric particulate matters, wherein the method includes the following steps: S1, collecting atmospheric particulate matters in a research area and preparing an atmospheric particulate matter suspension; S2, carrying out intratracheal instillation on the atmospheric particulate matter suspension into a tested animal body to simulate the exposure of a human body to the atmospheric particulate matters; S3, after the end of the experiment period, collecting the liver, lung and serum of the tested animal;S4, carrying out metabolome analysis of the liver, lung and serum through a liquid chromatography-mass spectrometry combined platform, and determining labeled metabolites of the liver, lung and serumrespectively; and S5, determining key metabolic network through the correlation analysis and the network analysis, and determining key labeled metabolites by the network node centrality evaluation. With use of network analysis, key metabolic markers of multiple tissues are determined through a network model, a method is provided for identifying key marker metabolites in multiple tissue metabolismdata under different phenotypes, and the accuracy of identification of the metabolic markers is improved.

Description

technical field [0001] The invention relates to the field of atmospheric particle toxicity research, in particular to a systemic toxicity metabolomics evaluation model of atmospheric particles. Background technique [0002] With the continuous advancement of industrialization, atmospheric particulate matter (especially PM 2.5) pollution has become an environmental issue that has attracted much attention. In China, with the development of urbanization, there are more and more major pollution sources of atmospheric particulate matter in cities, such as vehicle exhaust, coal-fired boiler heating, thermal power generation, etc., affecting the health of urban residents. Relevant epidemiological studies have shown that exposure to atmospheric particulate matter (especially PM 2.5) is associated with abnormal lung function, cardiovascular system disorders, and inflammatory states, and diseases related to atmospheric particulate matter pollution include atherosclerosis, endothelial ...

AI Technical Summary

Problems solved by technology

Although some studies have used systems biology methods such as metabolomics, proteomics, and transcriptomics to analyze the toxic effects of atmospheric particulate matter exposure on a single target organ, atmospheric particulate matter exposure often causes overall damage to the organism, and there is no relevant research. Metabolomics model assesses key marker metabolites for systemic toxic effects from atmospheric particle exposure

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