黄芪-川芎药对治疗脑卒中的网络药理学研究

目的 探讨黄芪-川芎药对治疗脑卒中的药理机制。方法 通过多个数据库并结合文献调研检索黄芪、川芎的有效化学成分和相关靶点；采用Cytoscape软件绘制成分靶点可视化网络，并进行拓扑分析；以CTD在线分析平台挖掘脑卒中的相关靶点，借助STRING数据库构建化合物靶点蛋白互作网络、脑卒中靶点蛋白互作网络，应用Cytoscape软件进行网络合并获取核心网络，并对核心靶点基因进行KEGG通路富集分析。结果 共筛选出黄芪、川芎中49个有效化合物，靶点蛋白272个，核心靶点蛋白39个，KEGG富集通路10条。作用通路涉及肿瘤坏死因子（TNF）信号通路、白介素17（IL-17）信号通路、松弛素信号通路、核因子（NF）-κB信号通路、低氧诱导因子-1（HIF-1）信号通路、C型凝集素受体信号通路、Toll样信号通路、核苷酸结合寡聚化结构域（NOD）样信号通路、血管内皮生长因子（VEGF）信号通路、p53信号通路。结论 黄芪-川芎药对中槲皮素、山柰酚等化合物可能通过肿瘤坏死因子（TNF）信号通路、白介素17（IL-17）信号通路等多条通路发挥治疗脑卒中的作用。

Network pharmacological study on Astragalus Rhizoma-Chuanxiong drug pair in treatment of stroke

Objective To investigate the mechanism of Astragalus Rhizoma-Chuanxiong in treatment of stroke. Methods The effective components and related target protein of Astragalus Rhizoma and Chuanxiong were screened by multiple databases and literature research. The effective compound-target protein visual network was established by using Cytoscape software, topology analysis was also performed. The targets related to stroke were found through CTD online analysis platform. The protein-protein interaction (PPI) network of targets related to compound and stroke were constructed and analyzed by STRING database. The two PPI networks were merged to acquire the core target, and KEGG pathway enrichment of target protein coding gene was analyzed by using Cytoscape software. Results A total of 49 kinds of effective compounds, 272 target proteins,39 core target proteins, and 10 enrichment pathways were selected. The target protein coding gene was rich in TNF signaling pathway, IL-17 signaling pathway, relaxin signaling pathway, NF-kappa B signaling pathway, HIF-1 signaling pathway, C-type lectin receptor signaling pathway, Tolllike receptor signaling pathway, NOD-like re ceptor signaling pathway, VEGF signaling pathway, p53 signaling pathway. Conclusion Quercetin and kaempferol of Astragalus Rhizoma and Chuanxiong play an effect on treatment of stroke through TNF signaling pathway, IL-17 signaling pathway and other signaling pathways.