基于网络药理学的苋参合剂抗运动性疲劳作用机制研究

Potential Mechanism of Chinese Herbal Formula(Xianshen Formula) on Exercise-induced Fatigue: A Network Pharmacology-based Analysis

目的:运用网络药理学分析苋参合剂抗运动性疲劳的有效成分、作用靶点及通路,探讨其抗运动性疲劳的可能机制。方法:通过中药化学成分数据库及文献检索,获取苋参合剂的化学成分;并依据TCMSP数据库的口服生物利用度(Oral Bioavailability, OB)和类药性指数(Drug Likeindex, DL)筛选出主要有效活性成分。借助DRAR-CPI分子对接服务器得到有效活性成分的潜在作用靶点,并以DAVID数据库对进行生物学功能和KEGG通路进行分析,通过已知运动性疲劳相关因素与发生机制,筛选疲劳相关功能通路,并得出苋参合剂抗运动性疲劳相关靶点。利用Cytoscape软件构建苋参合剂的有效活性成分-靶点网络图。结果:本研究共筛选出苋参合剂有效成分15种,抗运动性疲劳靶点172个。并发现该方在能量物质代谢、类固醇激素调节及免疫相关共17个生物学过程及12个通路中显著富集。结论:初步探究了苋参合剂抗运动性疲劳作用的主要潜在靶点和相关通路,为进一步实验和临床研究揭示其作用机制奠定了基础。

Objective: To predict the active compounds and effective targets of Xianshen Formula( XSF) on exercise-induced fatigue( EIF) by network phannacology and explore the potential mechanism. Methods: We searched the constituent of XSF by literature reviewing and databases searching on TCMSP, HIT, TCM Database@ Taiwan and TCMID. And then we screened potential active compounds based on oral bioavailability( OB) and drug like index( DL) in TCMSP database. The potential targets of active compounds were explored based on DRAR - CPI docking server and we analyzed the biological function and KEGG pathway of all targets by DAVID database. The literature, monograph and books about ERF were reviewed to filter out biological function and KEGG pathway relating to EIF. Then we retrieved targets of EIF. Furtherly, we established the effective constituents - antitumor targets networks of XSF using Cytoscape software and perform the network topology. Results: A total of 15 active compounds, 172 anti - ERF targets were predicted, which mainly involved 17 GO biological function and 12 KEGG pathway covering the metabolism of energetic substance, the regulation of steroid hormone and immune function. Conclusion: This study preliminarily evidenced the main targets and related pathways about anti - ERF effects of XSF, and established a foundation for further experimental studies of confirmation.