摘要
目的:基于网络药理学手段研究分析黄芪-当归药对干预缺血性脑卒中的作用机制。方法:通过中药系统药理学数据库和分析平台(TCMSP)统计黄芪-当归药对成分的口服利用率和药物相似性等参数,预测性筛选黄芪-当归药对有效成分及对应靶点;通过GeneCards数据库收集与缺血性脑卒中相关的基因,两者取交集后得到吻合的关键靶点。将上述靶点输入String数据库,构建蛋白质-蛋白质相互作用网络,最后对吻合靶点进行京都基因与基因组百科全书(KEGG)通路富集分析。结果:预测性筛选出黄芪-当归药对22个有效成分和187个作用靶点、黄芪-当归药对与缺血性脑卒中共有靶点159个。通过蛋白质-蛋白质相互作用网络分析,丝氨酸/苏氨酸蛋白激酶1(Akt Serine/Threonine Kinase 1,AKT1)、白细胞介素(Interleukin,IL)-6、血管内皮生长因子A (Vascular Endothelial Growth Factor A,VEGFA)、半胱氨酸蛋白酶3(Caspase 3,CASP3)等可能是黄芪-当归药对干预缺血性脑卒中的关键靶点。结论:黄芪-当归药对干预缺血性脑卒中的潜在药理机制与肿瘤坏死因子信号通路、IL-17信号通路、缺氧诱导因子-1信号通路等多种信号通路有关。
Objective:Based on the network pharmacology to analyze the mechanism of Huangqi(Radix Astragali)-Danggui(Radix Angelicae Sinensis)in treating ischemic stroke.Methods:Using the TCMSP database,parameters such as the oral utilization rate and the drug similarity of ingredients in Huangqi-Danggui were obtained,effective ingredients and corresponding targets of Huangqi-Danggui were predicted and screened.The genes related to ischemic stroke were collected by GeneCards database,and key targets were obtained after intersecting with the targets of Huangqi-Danggui.The above targets were input to the String database,and a proteinprotein interaction network(PPI)was constructed.Finally,the KEGG pathway enrichment analysis was carried out for key targets.Results:A total of 22 active ingredients and 187 targets of Huangqi-Danggui were screened out.There are 159 targets for drug and disease.Through the PPI network analysis,AKT1,IL-6,VEGFA and CASP3 may be the key targets of Huangqi-Danggui in treating ischemic stroke.Conclusion:Network pharmacology describes that the potential pharmacological mechanisms of Huangqi-Danggui in the treatment of ischemic stroke associated with multiple signaling pathways,such as TNF signaling pathway,IL-17 signaling pathway and HIF-1 signaling pathway.
出处
《中医临床研究》
2023年第5期102-106,共5页
Clinical Journal Of Chinese Medicine
