目的:通过网络药理学与孟德尔随机化的结合探讨姜黄素治疗2型糖尿病的药理学机制。方法:姜黄素的药物靶点通过pharmapper数据库、Swiss Target Prediction数据库获得,2型糖尿病的疾病靶点通过GeneCards数据库获得,将药物靶点与疾病靶点进行合并以获得潜在的治疗靶点,蛋白质之间相互作用(PPI)数据从String数据库中获得,通过R语言对治疗靶点进行GO与KEGG分析,通过IEU OPEN GWAS Project数据库获得暴露数据与结局数据的相关信息,并通过语言进行孟德尔随机化分析。结果:姜黄素的药物靶点预测到了111个,2型糖尿病的疾病靶点有921个,治疗靶点有27个,对这些治疗靶点KEGG分析发现主要通路为凋亡信号通路、TNF信号通路、IL-17信号通路等,核心治疗靶点为CASP3、MMP2、SIRT1等。结论:姜黄素通过多靶点、多通路、多生物学过程对2型糖尿病起到治疗作用,这与中医学核心观念相一致。Objective: To explore the pharmacological mechanism of curcumin in the treatment of type 2 diabetes through the combination of network pharmacology and Mendel randomization. Methods: The drug targets of curcumin were obtained from pharmapper database and Swiss Target Prediction database, the disease targets of type 2 diabetes were obtained from GeneCards database, the drug targets and disease targets were combined to obtain potential therapeutic targets, the protein-protein interaction (PPI) data was obtained from String database, the treatment targets were analyzed by GO and KEGG through R language, the relevant information of exposure data and outcome data was obtained through IEU OPEN GWAS Project database, and Mendelian randomization analysis was conducted through language. Results: 111 drug targets were predicted for curcumin, 921 disease targets for type 2 diabetes, and 27 therapeutic targets. KEGG analysis of these therapeutic targets found that the main pathways were apoptosis signaling pathway, TNF signaling pathway, IL-17 si
