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目的:探讨虎杖干预类风湿关节炎(rheumatoid arthritis, RA)的分子作用机制。方法:通过TCMSP筛选虎杖的有效活性成分并预测相关靶点，通过GeneCards数据库预测RA相关靶点，将虎杖药效靶点与RA相关靶点取交集，得到虎杖干预RA的共同靶点，使用Cytoscape 3.7.2构建药物-活性成分-靶点-疾病网络。将获得的共同靶点导入STRING数据库进行蛋白质相互作用分析，经R语言计算筛选出虎杖干预RA的核心靶点。运用DAVID在线数据库及R语言对共同靶点进行GO分子功能富集分析和KEGG通路富集分析。使用AutoDock Vina软件对活性成分和前5位核心靶点进行分子对接。结果:筛选获得10个虎杖有效活性成分和对应的203个药效靶点，检索得到4 424个RA相关靶基因，取交集后得到139个虎杖干预RA的共同靶点，蛋白相互作用网络分析提示，v-akt鼠科胸腺瘤病毒癌基因同源物Ⅰ (v-akt murine thymoma viral oncogene homolog 1, AKT1)基因、肿瘤蛋白p53(tumor protein p53, TP53)基因、JUN、MAPK1、人v-rel禽网状内皮细胞过多症病毒癌基因同源物(AV-Rel Reticuloendotheliosis Viral Oncogene Homolog A, RELA)等为核心靶点。GO富集分析得到虎杖干预RA的分子功能共35个，包括ATP结合、锌离子结合、转录因子活性等。KEGG富集分析得到虎杖干预RA的相关信号通路共117条，包括PI3K-Akt信号通路、TNF信号通路、癌症通路等。分子对接显示，有效成分均与基因AKT1、TP53、JUN、MAPK1、RELA对接良好，其中大黄素甲醚双葡萄糖苷与JUN显示出较好的结合能力。结论:基于网络药理学和分子对接法分析虎杖可多靶点、多通路干预RA，为其药品研发提供参考。“,”Objective:To explore the molecular mechanism of n Polygoni Cuspidati Rhizoma in the treatment of rheumatoid arthritis (RA).n Methods:TCMSP database was uesed to screen the active ingredients of n Polygoni Cuspidati Rhizoma and predict related targets. The therapeutic targets for RA were predicted by GeneCards database. By collecting the intersection of the rapeutic targets of n Polygoni Cuspidati Rhizoma and RA, the therapeutic targets of n Polygoni Cuspidati Rhizoma for the treatment of RA were obtained. Then Cytoscape 3.7.2 was used to construct a “drug-active ingredient-target-disease” network diagram. The therapeutic targets of n Polygoni Cuspidati Rhizoma for treating RA were imported into the STRING database for protein-protein interaction analysis. The core targets of n Polygoni Cuspidati Rhizoma for the treatment of RA were screened out by R language. And the DAVID online database and R language were used to perform GO molecular function enrichment analysis and KEGG pathway enrichment analysis. At last, Autodock Vina software was used for molecular docking of active ingredients and the top five targets.n Results:The active ingredients of n Polygoni Cuspidati Rhizoma were screened and corresponding to 203 targets. 4 424 target genes related to RA were retrieved in GeneCards database, and 139 targets of n Polygoni Cuspidati Rhizoma intervening RA were obtained after intersection. Protein interaction analysis suggested that AKT1, TP53, JUN, MAPK1, RELA were the core targets. GO enrichment analysis on common targets obtained 35 molecular functions including ATP binding, zinc ion binding, and transcription factor activity, etc. KEGG enrichment analysis obtained a total of 117 signaling pathways related to n Polygoni Cuspidati Rhizoma for RA, including the PI3K-Akt signaling pathway, the TNF signaling pathway, and pathways related to in cancer. Molecular docking showed that the active ingredients were better docked with AKT1, TP53, JUN, MAPK1 and RELA, and physciondiglucoside had a good binding ability with JUN.n Conclusion:Based on network pharmacology and molecular docking, the mechanism of n Polygoni Cuspidati Rhizoma in the treatment of RA is discussed, which provides a reference for pharmacological experiment and drug developmen of new herbal medicine.n