目的 筛选交泰丸抗抑郁主要活性成分，预测活性成分作用靶点，探讨其多成分-多靶点-多通路的抗抑郁作用机制。方法 采用ADME/T计算方法筛选交泰丸活性成分，依据中药系统药理学技术平台（TCMSP）、反向分子对接服务器（DRAR-CPI）、文本挖掘工具（CooLGeN）预测和筛选交泰丸的活性成分及其抗抑郁作用靶点。借助Gephi软件构建交泰丸活性成分-作用靶点网络，通过生物学信息注释数据库（DAVID）对靶点基因功能及代谢通路进行分析。结果 网络分析结果表明交泰丸中筛选得到28个活性成分，涉及靶点38个，主要通过参与神经营养因子信号通路、调节肌动蛋白细胞骨架和轴突导向因子从而改善神经元细胞的生长发育状况；调控MAPK、Wnt以及ErbB信号转导通路发挥抗抑郁作用。结论 为进一步深入开展交泰丸抗抑郁作用机制研究提供了新的思路和线索。

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.

中国博士后科学基金面上资助项目（2016M602414）；山西省科技重点研发计划（201603D3113013，201603D321077）