Research strategies and applications of functional metabolomics in anti-depressive mechanisms of traditional Chinese medicine
10.16438/j.0513-4870.2022-1311
- VernacularTitle:功能代谢组学在中药抗抑郁机制研究中的策略及应用
- Author:
Meng-yu ZHANG
;
Lin XIAO
;
Yao-yao REN
;
Rui TAN
;
He-zhong JIANG
;
Xiao-qing WU
- Publication Type:Research Article
- Keywords:
epression;
anti-depressive mechanisms of traditional Chinese medicine;
functional metabolomics;
research strategy
- From:
Acta Pharmaceutica Sinica
2023;57(7):1732-1741
- CountryChina
- Language:Chinese
-
Abstract:
Depression is a common emotional disorder that seriously affects people's life and health all over the world. The pathogenesis of depression is complex, and traditional Chinese medicine (TCM) for antidepressants has a good therapeutic effect because of its multi-component, multi-pathway, and multi-target action mode. At present, the anti-depressive mechanism of TCM has not been fully clarified, but it is clear that depression is closely related to metabolic health. Therefore, in order to further explore the anti-depressive mechanism of TCM, this paper proposes research strategies on the anti-depressive mechanism of TCM based on functional metabolomics from the perspective of metabolism, the potential biomarkers of depression are analyzed with the help of multi-omics combined analysis technology, and the functional molecules of TCM for antidepressant are studied. Molecular biology techniques are used to accurately capture the molecular interactions between biomarkers of depression and functional compounds, which identify effective drug targets and further elucidate the biochemical functions and related mechanisms involved in depression metabolic disorders. This paper systematically reviews the research strategies and applications of functional metabolomics in the anti-depressive mechanisms of TCM, expounds on the core value of functional metabolomics, and summarizes the current research status and hot issues of TCM for antidepressants in recent years, providing new methods and new ideas for the study of mechanisms of TCM with the help of functional metabolomics.
