[关键词]
[摘要]
目的 利用网络药理学的方法,探索丹参治疗肝硬化的可能作用机制。方法 通过TCMSP数据库得出丹参的活性成分,再利用GeneCards、OMIM数据库以及DRAR-CPI服务器筛选丹参的活性成分治疗肝硬化的潜在作用靶点,进而用Cytoscape 3.6.0软件构建丹参的化合物-靶点网络图。通过STRING数据库和Cytoscape 3.6.0软件的Generate style from statistics工具,筛选并构建疾病靶点相互作用网络。采用Systems Dock Web Site网络服务器与丹参的活性成分进行分子对接。利用DAVID数据库对丹参的作用靶点进行GO分类富集分析和KEGG通路富集分析。结果 选择口服生物利用度(OB)≥30%和类药性(DL)≥0.18作为化合物分子的筛选条件,从丹参中筛选出活性成分65个,作用靶标75个。丹参治疗肝硬化主要涉及MAPK、Toll-like receptor,Gap junction、PI3K/Akt、Natural killer cell mediated cytotoxicity等信号通路。结论 应用网络药理学的方法预测出丹参治疗肝硬化的可能作用机制,为其进一步研究提供新的思路与线索。
[Key word]
[Abstract]
Objective Network pharmacology method was adopted in this study to explore the active compounds and mechanism of Salvia miltiorrhiza for cirrhosis. Methods TCMSP database was utilized to obtain the active components of S. miltiorrhiza. Through GeneCards, OMIM and DRAR-CPI, the potential targets of S. miltiorrhiza for the treatment of cirrhosis were screened. Cytoscape 3.6.0 software was established to construct the active components-targets network of S. miltiorrhiza. STRING database and Generate style from statistics of Cytoscape 3.6.0 software were conducted to draw a graph of protein interaction network. Molecular docking was carried out through Systems Dock Web Site with the active components of S. miltiorrhiza. The GO classified enrichment analysis and the KEGG pathway enrichment analysis were performed by using DAVID database. Results Selecting the OB ≥ 30% and DL ≥ 0.18 as filter condition, 65 active components and 75 targets of S. miltiorrhiza were involved. S. miltiorrhiza exerted its effects on treating cirrhosis mainly by regulating signaling pathways including MAPK, Toll-like receptor, Gap junction, PI3K/AKT, Natural killer cell mediated cytotoxicity signaling pathway and so on. Conclusion This study preliminarily predicted the major targets and pathways of S. miltiorrhiza acting on cirrhosis, which provided new ideas and clues for its further research.
[中图分类号]
R285.5
[基金项目]