Study on the molecular mechanism of Gegen Qinlian decoction in the treatment of influenza based on network pharmacology

• 作者: Fang-Fang Sun Gai-Xia Liu Tao Zhang Yao-Hui Li
• 来源期刊: 海南医科大学学报（英文版）
• 年，卷（期）: 2020,（23）
• 所属期刊栏目: Original article
• 页码范围: 37-41
• 页数: 5页
• 语种: 英文

摘要

Objective: The study shows that Gegen Qinlian decoction(GGQL) is feasible in the treatment of influenza. It is explained from traditional Chinese medicine theory and modern pharmacology, and the formula is tested in vitro. The results show that Gegen Qinlian decoction has a good inhibitory effect on influenza virus. Methods: Search TCMSP database to get the components and targets of GGQL, and construct the compound target network. Then search OMIM database and Disgenet database to obtain influenza genes, and the common genes were obtained by VennDiagram. STRING database was used to construct gene function association network. Finally, David database was used to analyze GO enrichment and pathway enrichment. Results: 146 ingredients and 128 targets were obtained, 588 genes were obtained. 46 common genes were obtained by VennDiagram, and import the common genes into the STRING database and construct the gene function association network, then the network information data was imported into Cytoscape software for topology analysis. Finally, 13 enriched GO clusters and 7 enriched pathway clusters were obtained by David database, and construct the targets-GO- pathway network. Conclusion: Network pharmacology of GGQL reveal that the target and the pathway of the drug was closely related to influenza, and the results of this study have been verified with published experimental studies, which shows that GGQL has not only theoretical basis for the treatment of influenza, but also in vitro experiments support this conclusion.