An exploration on mechanism of antidepression of Jiaotai Pills based on network pharmacology / 中草药

ABSTRACT

Objective: To predict the action targets of antidepressant active ingredients of Jiaotai Pills to understand the "multi-components, multi-targets, and multi-pathways" mechanism. Methods: ADME/T calculation method was used to filtrate the active components of Jiaotai Pills, and then forecast the targets of the main active ingredients according to Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), reverse molecular docking database (DRAR-CPI), and text mining tools (CooLGeN). Besides, the Gephi software was used to construct Jiaotai Pills ingredients-targets network, while Biological information annotation databases (DAVID) was used to analyze the molecular function and biological process of the action targets. Results: The network analysis indicated that total 28 active ingredients and their 38 targets were screened in Jiaotai Pills, which involved in regulation of actin cytoskeleton, MAPK signaling pathway, neurotrophin signaling pathway, Wnt signaling pathway, axon guidance, and ErbB signaling pathway. The antidepressant effect of Jiaotai Pills showed the features of traditional Chinese medicine in multi-components, multi-targets, and multi-pathways. Conclusion: This study provides new clues for further basic study on the antidepressant pharmacological mechanism of Jiaotai Pills.