中医药临床杂志2024，Vol.36Issue(5)：893-900,8.DOI:10.16448/j.cjtcm.2024.0519
基于生物信息学探讨参附汤治疗慢性心力衰竭的机制
Exploring the Action Mechanism of the Shenfu Decoction on Chronic Heart Failure Based on Bioinformatics
摘要
Abstract
Objective:To explore the active ingredients,genes and signaling pathways of Shenfu Decoction in treat-ing chronic heart failure(CHF)through bioinformatics methods and explore its potential mechanism.Methods:The TCMSP database was used to search for the active ingredients and targets of traditional Chinese medicine contained in Shenfu Decoction.The chip data set of chronic heart failure was screened out through the GEO database and differential analysis was performed.The related genes of CHF were obtained and then compared with the targets of traditional Chi-nese medicine.The target genes were obtained through intersection;the cytoscape3.8.2 software was used to construct the active ingredient-target gene network and screen out the important active ingredients;finally,a protein interaction network of the target genes was constructed and the target genes were enriched with GO biological processes and KEGG pathways.Set analysis.Results:25 active ingredients were screened out from Shenfu Decoction,and there were 8 com-mon target genes related to CHF.The important active ingredients were kaempferol,ginsenoside rh2,and β-sitosterol;the key target genes Including PTGS2,IL1B,JUN,NFKBIA,CASP1,etc.;GO biological process results show that it is related to the response to mechanical stimulation,fever,response to lipopolysaccharide,etc.;KEGG pathway enrich-ment analysis results show that it mainly involves C-type lectin receptor signaling pathway,IL-17 signaling pathway and TNF signaling pathway.Conclusion:This study analyzed the potential mechanism of action of Shenfu Decoction in treating CHF through bioinformatics,and initially clarified that Shenfu Decoction has the characteristics of multi-component,multi-target and multi-pathway involvement in treating CHF,providing a theoretical basis for subsequent in-depth research.关键词
生物信息学/参附汤/慢性心力衰竭/基因/信号通路Key words
Bioinformatics/Shenfu Decoction/Chronic heart failure/Genes/Signaling pathways分类
医药卫生引用本文复制引用
左龙,高云水,李果,梁美丹,容伟明,朱松柏,杨毅,丁光远,刘杨..基于生物信息学探讨参附汤治疗慢性心力衰竭的机制[J].中医药临床杂志,2024,36(5):893-900,8.基金项目
湖南省中医药管理局项目(201983) （201983）
湖南省科学技术厅(2020SK52805) （2020SK52805）
