基于网络药理学的生脉散作用机制分析

目的:探讨生脉散的作用机制。方法:本研究选取生脉散中3味中药人参、麦冬、五味子含有的33个活性成分,通过Pharm Mapper服务器预测其活性成分的潜在靶点,进而构建化合物-靶点网络、构建蛋白互作(protein-protein interaction,PPI)网络、进行基因本体(gene ontology,GO)富集分析、进行基于京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)的生物通路富集分析,研究生脉散作用机制。结果:化合物-靶点网络包含249个节点,关键靶点涉及转甲状腺素蛋白(TTR)等。PPI网络包含155个节点,关键靶点涉及酪氨酸蛋白激酶Src(SRC),蛋白激酶Bα(Akt1)等。GO条目95个,其中生物过程相关的条目67个,分子功能相关的条目22个,细胞组成相关的条目6个。KEGG通路8条,涉及肿瘤信号通路(pathways in cancer),前列腺癌(prostate cancer),胰岛素信号通路(insulin signaling pathway)等。结论:本研究结果初步验证了生脉散的基本药理作用及其机制,并为进一步深入揭示其作用机制奠定了良好基础。

Mechanism of Shengmaisan Based on Network Pharmacology

Objective: To investigate the mechanism of action of Shengmaisan. Method: Potential targets related to 33 active chemical components from Ginseng Radix et Rhizoma,Ophiopogonis Radix and Schisandrae Chinensis Fructus of Shengmaisan were predicted through PharmMapper server. Compound-target network, protein-protein interaction (PPI) network, gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were constructed to explore the mechanism of action of Shengmaisan. Result: Compound-target network contained 249 nodes, in which the key targets involved Transthyretin (TTR), etc. PPI network contained 155 nodes, in which the key targets involved Proto-oncogene tyrosine-protein kinase Src (SRC), RAC-alpha serine/threonine-protein kinase (Akt1), etc. In GO enrichment analysis, there were 95 GO terms, including 67 terms related to biological process, 22 related to molecular function and 6 related to cellar components. In KEGG pathway enrichment analysis, there were 8 KEGG pathways, involving pathways in cancer, prostate cancer, insulin signaling pathway and so on. Conclusion: The results of the study have preliminarily verified the basic pharmacological effects and related mechanisms of Shengmaisan, and laid a solid foundation for further studies on the mechanism of action of Shengmaisan.