Metabolic module identification and biological mechanism of Xiaoyaosan for treatment of depression
10.16438/j.0513-4870.2020-1079
- VernacularTitle:逍遥散治疗抑郁症代谢网络的模块划分与生物学机制研究
- Author:
Yao GAO
1
;
Jun-fang MU
2
;
Ting LING-HU
1
;
Yu-zhi ZHOU
1
;
Xiao-xia GAO
1
;
Jun-sheng TIAN
1
;
Xue-mei QIN
1
Author Information
1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China; Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan 030006, China
2. School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
- Publication Type:Research Article
- Keywords:
Xiaoyaosan;
epression;
pathway crosstalk analysis;
functional module;
core protein
- From:
Acta Pharmaceutica Sinica
2021;56(2):528-537
- CountryChina
- Language:Chinese
-
Abstract:
The antidepressant effect of Xiaoyaosan has been demonstrated. It is of value to explore the biological mechanism of Xiaoyaosan in the treatment of depression from the perspective of functional modules by using the method of functional module division of the metabolic network. The differential metabolites and related enzymes and proteins regulated by Xiaoyaosan were identified in the database. Pathway enrichment analysis and crosstalk pathway analysis of Xiaoyaosan regulated metabolites was carried out. A network of differentially regulated metabolites and their enzymes and proteins was constructed by using the STRING tool. The CNM decomposition algorithm was used to extract the functional modules of the network and enrichment analysis of functional modules was carried out. The results show that Xiaoyaosan regulates 97 differential metabolites, 234 related enzymes and 258 depression-related proteins. The pathways crosstalk analysis was divided into two sub-networks, one of which is related to the neural system and cell signal transduction, the other is related to the endocrine system and metabolic pathways. KEGG pathway enrichment analysis of the network and 9 functional modules extracted by the CNM algorithm shows that module 1 and module 3 belong to the pathways that can be enriched into more pathways with fewer proteins. The corresponding functions of these pathways include the endocrine system, amino acid metabolism, the nervous system and signal transduction. In this study, pathway crosstalk analysis and metabolic network module division strategies were used to explain the biological mechanism of Xiaoyaosan in the treatment of depression, providing ideas and methods for in-depth study of the pharmacological mechanism of this traditional Chinese medicine from the perspective of metabolic regulation.
