参白颗粒逆转胃低级别上皮内瘤变的网络药理学研究

Study on Network Pharmacology Shenbai Granules in Reversing Lowing Grade Gastric Intraepithelial Neoplasia

目的:借助网络药理学方法分析参白颗粒逆转胃低级别上皮内瘤变的作用机制。方法:基于中药系统药理学数据库与分析平台(TCMSP)、中医药综合数据库(TCMID)筛选药物有效成分和对应靶点,采用GEO数据库筛选胃低级别上皮内瘤变的相关靶点,确定药物作用靶点与疾病靶点的交集基因,并进一步构建参白颗粒“药物-成分-靶点-疾病”的调控网络;应用STRING平台构建蛋白质-蛋白质相互作用(PPI)网络;利用David数据库进行基因本体(GO)富集分析和京都基因和基因组百科全书(KEGG)富集分析。结果:共得到43个有效成分和334个相应靶点,疾病靶点2472个,韦恩图筛选得到共同靶点50个;富集分析得到23个GO功能条目和10条KEGG信号通路。结论:参白颗粒主要通过参与氧化还原过程、细胞增殖、氧化应激反应、血管生成等生物学过程,以及癌症通路、神经活性配体-受体相互作用、花生四烯酸代谢和HIF-1信号通路等生物学通路发挥治疗作用,这可能是参白颗粒逆转胃低级别上皮内瘤变的重要作用机制。

Objective:To analyze the mechanism in reversing low-grade gastric intraepithelial neoplasia by Shenbai Granules based on network pharmacology.Methods:The effective ingredients and corresponding targets of drugs were screened based on TCMSP and TCMID databases,use GEO database was used to screen the related targets of gastric low-grade intraepithelial neoplasia,the intersection genes between drug targets and disease targets were determined,and Shenbai Granules further constructed.The regulatory network of“drugs-components-targets-disease”was further established;STRING platform was used to construct protein interaction(PPI)network;David database was used for GO and KEGG enrichment analysis.Results:A total of 43 active ingredients and 334 corresponding targets were obtained,with 2472 disease targets,and 50 common targets were screened by Venn diagram;23 GO function entries and 10 KEGG signal pathways were obtained by enrichment analysis.Conclusion:Shenbai Granules mainly participated in biological processes such as oxidation-reduction process,cell proliferation,response to oxidative stress,angiogenesis,and other biological pathways.And it plays an important role in biological pathways such as cancer pathway,neuroactive ligand-receptor interactions,arachidonic acid metabolism and HIF-1 signaling pathways etc.