【摘要】 目的 借助网络药理学技术，通过筛选蒙药翻白草活性成分作用靶点和疾病靶点，建立“成分-靶点-疾病”网络，探讨翻白草治疗2型糖尿病的作用机制，为传统蒙药寻找新的作用靶点提供理论依据，为其实验验证及药理研究奠定基础。方法 利用中药系统药理数据库分析平台（Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, TCMSP）查询翻白草活性成分，获得相对应的靶蛋白，通过GeneCards数据库筛选有关2型糖尿病的相关靶点，并利用Venny软件获得翻白草活性成分和糖尿病的靶点交集；使用STRING数据库构建化合物的蛋白互作网络（protein interaction network,PPI），利用Metascape数据库进一步进行基因本体（gene ontology,GO）生物功能以及京都基因和基因组数据库（Kyoto encyclopedia of genes and genomes, KEGG）通路富集分析。结果 通过TCMSP数据库查询以及条件筛选，获得5个候选活性分子，潜在靶点共104个，相关通路250条，通过GO和KEGG富集分析得出翻白草主要通过调控癌症通路，糖尿病并发症中AGE-RAGE信号通路以及脂质与动脉粥样硬化相关通路等发挥作用。结论 翻白草治疗2型糖尿病并发症主要通过调控AGE-RAGE信号通路，使其具有降低血糖的作用，为进一步实验验证奠定了良好基础。更多还原

【Abstract】 Objective: To explore the mechanism of Mongolian medicine Fanbaicao in treatment of type 2 diabetes by network pharmacology. Methods: All the chemical components related to Fanbaicao were obtained from the TCMSP database by network pharmacology. GeneCard database was searched to obtain the targets of type 2 diabetes, and the intersection targets of active ingredient and disease were obtained by Venny; STRING was used to perform a PPI analysis of the common targets and then construct a PPI network for Fanbaicao in the prevention and treatment of type 2 diabetes. further analysis of target genes of Fanbaicao in GO and KEGG pathway enrichment weremade by using Metascape database. Results: Through TCMSP and condition screening, 5 candidate active molecules, 104 potential targets and 250 related pathways were obtained. GO and KEGG enrichment analysisconclude showed that Fanbaicao was mainly involved in the pathways in cancer, AGE-RAGE signaling pathway in diabetic complications and lipid and atherosclerosis. Conclusion: The AGE-RAGE signal pathway targeted by Potentilla discolor in the treatment of type 2 diabetes complications has a good effects of regulatory pathway, which has the effect of hypoglycemic, thus laying a good foundation for further experimental verification.更多还原