基于网络药理学探讨“桂枝–白芍”改善心力衰竭的作用机制

To Discuss the Mechanism of Action of “Guizhi-Paeonia Alba” in Improving Heart Failure Based on Network Pharmacology

摘要: 目的：采用网络药理学的思路及方法探讨“桂枝–白芍”改善心力衰竭的作用机制。方法：使用中药系统药理学分析平台TCMSP数据库获取“桂枝–白芍”主要活性成分和作用靶点，Cytoscape 3.10.0软件进行可视化处理，利用GeneCards数据库筛选心力衰竭已知的治疗靶点，使用Venny平台进行中药和疾病的共同基因筛选，借助String数据库建立蛋白质互作网络图谱(PPI)，利用仙桃学术，进行基因本体(GO)富集分析以及京都基因与基因组百科全书(KEGG)通路富集分析。结果：筛选出“桂枝–白芍”共39种活性成分，892疾病靶点，PPI显示共42个节点及300个边，5个关键靶点：TNF、AKT1、PTGS2、PPARG、CASP3。GO富集分析显示“桂枝–芍药”可通过调节氧反应改善心力衰竭，KEGG富集分析显示“桂枝–芍药”的治疗作用可能与糖尿病并发症中的AGE-RAGE信号通路、HIF-1信号传导途径、脂质和动脉粥样硬化等相关。

Abstract: Objective: To explore the mechanism of action of “Guizhi-Paeonia Alba” in improving heart failure by using the ideas and methods of network pharmacology. Methods: The TCMSP database of TCMS was used to obtain the main active components and targets of “Guizhi-Paeonia Alba”, Cytoscape 3.10.0 software was used for visualization, the GeneCards database was used to screen the known therapeutic targets of heart failure, the Venny platform was used to screen the common genes of TCM and diseases, and the protein interaction network map (PPI) was established with the help of String database. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Results: A total of 39 active ingredients, 892 disease targets, 42 nodes and 300 edges, and 5 key targets: TNF, AKT1, PTGS2, PPARG, and CASP3 were screened out by PPI. GO enrichment analysis showed that “Guizhi-Paeoniae” could improve heart failure by regulating oxygen response, and KEGG enrichment analysis showed that the therapeutic effect of “Guizhi-Paeoniae” may be related to AGE-RAGE signaling pathway, HIF-1 signaling pathway, lipid and atherosclerosis in diabetic complications.