Based on plasma metabonomics and network analysis to research the mechanisms of Chaigui granules for treating depression / 药学学报

ABSTRACT

The purpose of this study was to systematically analyze the antidepressant mechanism of Chaigui granules from the perspective of biological metabolic network by using integrated metabolomics and biological network analysis tools. The model of chronic unpredictable mild stress (CUMS) depression rat was established, and LC-MS-based plasma metabolomics was used to identify the key metabolites and analyze metabolic pathways underlying the antidepressant effects of Chaigui Granules. The key metabolites regulated by Chaigui granules was integrated with biological network analysis tools to further focus on the key metabolic pathways and explore the potential targets of the antidepressant effect of Chaigui granules. The results showed that there were significant differences in the plasma levels of 20 metabolites in the model group compared with the control group (P < 0.05), Chaigui granules significantly regulated 12 metabolites including docosatrienoic acid, 3-hydroxybutyric acid, 4-hydroxybenzaldehyde, chenodeoxycholic acid, cholic acid, L-glutamine, glycocholic acid, linoleyl carnitine, L-tyrosine, N-acetylvaline, palmitoylcarnitine, arachidonic acid. Further network analysis of the key metabolites regulated by Chaigui granules indicated that plasma arachidonic acid metabolism might be the core pathway for the antidepressant effect of Chaigui granules, with 10 proteins were potential targets for the antidepressant effect of Chaigui granules, including CYP2B6, CYP2E1, CYP2C9, CYP2C8, PLA2G6, PTGS2, ALOX15B, PTGS1, ALOX12 and ALOX5. The animal experimental operations involved in this paper was followed the regulations of the Animal Ethics Committee of Shanxi University and passed the animal experimental ethical review (Approval No. SXULL2020028).