[关键词]
[摘要]
目的 通过网络药理学方法研究新型冠状病毒肺炎(COVID-19)中期诊疗方(XGZQZLF)治疗COVID-19的作用机制。方法 采用网络药理学方法,以中药系统药理学数据库、GeneCards数据库等为支撑,通过Cytoscape构建“药物-活性成分-靶点-疾病”网络,进一步进行基因富集分析和通路注释,研究XGZQZLF治疗COVID-19的物质基础和作用机制。结果 筛选出XGZQZLF有效成分80个,通过调控蛋白激酶(AKT1)、白细胞介素6(IL-6)、丝裂原活化蛋白激酶3(MAPK3)、血管内皮生长因子A(VEGFA)、半胱氨酸蛋白酶3(CASP3)等208个肺炎相关靶点,以及主要通过调控TNF信号通路、IL-17信号通路、Th17细胞分化、缺氧诱导因子1(HIF-1)信号通路等炎症和免疫相关通路发挥治疗COVID-19的作用。结论 XGZQZLF通过多成分、多靶点、多通路协同作用发挥治疗COVID-19的作用,为XGZQZLF治疗COVID-19的生物机制研究提供数据支撑,同时为COVID-19药物研发提供参考。
[Key word]
[Abstract]
Objective To research the mechanism of Xinguanzhongqizhenliao formula (XGZQZLF) for COVID-19 treatment by network pharmacology. Methods "Drug-active ingredient-target-disease" network was constructed by Cytoscape based on TCMSP and GeneCards databases. Mechanism of XGZQZLF in treatment of COVID-19 was implemented by GO and KEGG analysis. Results A total of 80 active ingredients of XGZQZLF were screened out. They could regulate 208 targets of COVID-19, including AKT1, IL-6, MAPK3, VEGFA, CASP3 and so on, which exerted therapeutic effect on COVID-19 through regulating multiple signaling pathways such as TNF signaling pathway, IL-17 signaling pathway, Th17 cell differentiation, HIF-1 signaling pathway and so on. Conclusion XGZQZLF plays an important role in the treatment of COVID-19 through multi-component, multi-target and multi-pathway, which can provide reference for the synergistic theory of TCM compound prescription.
[中图分类号]
R285.5
[基金项目]
国家重大新药创制项目(2018ZX09201011);国家中医药管理局名老中医药专家传承工作室建设项目;北京中医药大学创新团队项目(2019-JYB-TD011);中华中医药学会青年托举人才项目(QNRC2-A03)