基于网络药理学预测苦参治疗肝癌的分子机制

目的:运用网络药理学的方法,探讨苦参治疗肝癌的作用机制。方法:通过中医药系统药理学数据库分析平台(TCMSP)筛选出苦参活性成分及作用靶点;在OMIM和Genecards中获取疾病靶点。通过R语言对基因进行匹配并绘制韦恩图;在String网站构建活性成分-蛋白质-蛋白质相互作用网络图;Cytoscape 3.6.1软件构建成分-靶点网络;通过R软件进行GO富集分析和KEGG通路富集分析。结果:共筛选出45个活性成分和176个潜在作用靶点;GO及KEGG功能富集显示苦参主要影响PI3K/Akt/mTOR通路及HIF-1a等信号通路。结论:苦参可能通过影响PI3K/Akt/mTOR通路及HIF-1a等信号通路,从而调控肝癌细胞侵袭及转移。

Molecular Mechanism of Sophora Flavescens in the Treatment of Liver Cancer Based on Network Pharmacology

To explore the mechanism of Sophora flavescens in the treatment of liver cancer by means of network pharmacology.Methods:First,the active ingredients and targets of Sophora flavescens were screened through the TCMSP platform; then the disease targets were obtained from OMIM and Genecards.We matched genes through R language and draw a Venn diagram; then constructed an active ingredient-protein interaction network diagram on the String website; constructed a component-target network with Cytoscape 3.6.1 software; performed GO enrichment analysis and KEGG pathway enrichment analysis through R software.Results:A total of 45 active ingredients and 176 potential targets were screened; GO and KEGG function enrichment showed that Sophora flavescens mainly affected PI3K/Akt/mTOR pathway and HIF-1a signal pathways.Conclusion:Sophora flavescens may regulate the invasion and metastasis of liver cancer cells by affecting the PI3K/Akt/mTOR pathway and HIF-1a signaling pathways.