目的 通过网络药理学方法筛选金银花-连翘药对中活性成分和IgA肾病靶点，探讨金银花-连翘药对干预IgA肾病的作用机制。方法 采用中药系统药理学数据库（TCMSP）检索金银花、连翘中活性成分及其作用靶点。通过OMIM、NCBI、GeneCards数据库获取IgA肾病相关基因靶点。利用Venny 2.1软件得到中药活性成分作用靶点与IgA肾病的交集靶点信息。利用String数据库和Cytoscape 3.8.0制作共有靶点蛋白相互作用网络图。运用R语言对核心作用靶点进行GO富集分析和KEGG通路分析。结果 金银花-连翘药对作用于IgA肾病的主要活性成分有槲皮素、毛地黄黄酮、山柰酚、β-胡萝卜素、β-谷甾醇；作用的疾病靶点有AKT1、IL6、MAPK1、JUN、VEGFA、MAPK8、IL1B、MMP9；主要通过对化学应激、氧化应激、脂多糖、细菌来源分子的反应等生物过程和AGE-RAG、IL-17、TNF信号通路发挥作用。结论 金银花-连翘药对干预IgA肾病通过多成分、多靶点、多通路发挥作用，通过网络药理学方法为二药的机制研究提供了数据支持。

Objective To study the active components and mechanism of Lonicerae Japonicae Flos and Forsythiae Fructus in the treatment of IgA nephropathy based on network pharmacology. Methods TCMSP database was used to extract the active components and related targets of Lonicerae Japonicae Flos and Forsythiae Fructus. The disease targets were searched by OMIM, NCBI and GeneCards database. The information of the intersection targets of the active components of Lonicerae Japonicae Flos, Forsythiae Fructus, and IgA nephropathy were obtained by using Venny2.1 software. PPI network of the intersection target of Lonicerae Japonicae Flos, Forsythiae Fructus, and IgA nephropathy was draw by String and Cytoscape 3.8.0. The R language was used to perform GO enrichment analysis and KEGG pathway analysis.Results The study showed that the main active components include quercetin, luteolin, kaempferol, beta-carotene, and beta-sitosterol. The disease targets include AKT1, IL6, MAPK1, JUN, VEGFA, MAPK8, IL1B, and MMP9. The main biological process include cellular response to chemical stress, response to oxidative stress, response to lipopolysaccharide, and response to molecule of bacterial origin. The treating signaling pathway include AGE-RAGE signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. Conclusion Lonicerae Japonicae Flos and Forsythiae Fructus treating IgA nephropathy are through multi-component, multi-target, and multi-signaling pathway, which provides data support for the further study of the two herbs based on network pharmacology.

R287.3

内蒙古自治区卫生健康科技计划项目（202202129）；内蒙古自治区自然科学基金面上项目（2019MS08008）；内蒙古医科大学科技百万工程项目（YKD2018KJBW021）