摘要
Background:To explore and predict the mechanism of classic ancient prescription of Chinese medicine Zhen-Wu decoction for chronic heart failure treatment based on network pharmacology.Methods:Traditional Chinese medicine systems pharmacology database was used to search the effective components and targets of herbs in classic ancient prescription of Chinese medicine Zhen-Wu decoction.Relevant target genes of chronic heart failure were obtained from GeneCards and Online Mendelian Inheritance in Man databases.Then we obtained the intersection target genes of classic ancient prescription of Chinese medicine Zhen-Wu decoction in treating chronic heart failure,constructing the classic ancient prescription of Chinese medicine Zhen-Wu decoction-active ingredient-chronic heart failure-targets network using Cytoscape,and performing network analysis using a network ananlyzer plug-in to acquire hub compounds and key targets.Proton pump inhibitor network was constructed through STRING database.Gene ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were carried out in Database for Annotation,Visualization and Integrated Discovery.Results:There are 61 active ingredients and 134 action targets in classic ancient prescription of Chinese medicine Zhen-Wu decoction,among which 49 target genes and 11 important compounds related to the chronic heart failure treatment.After network analysis,we obtained 12 key targets,77 gene ontology entries and 22 signal pathways,including tumor necrosis factor signaling pathway,NF-kappaB signal pathway,PI3K-Akt signal pathway,et al.Concludion:classic ancient prescription of Chinese medicine Zhen-Wu decoction was used for chronic heart failure treatment for the multi-component,multi-target and multi-channel interaction.The components such as kaempferol andβ-sitosterol were combined with target proteins such as CHRM1 and AChE,involving biological processes such as DNA transcription regulation,cholinergic synaptic transmission and apoptosis regulation,as well as signal pathways such as tumor necrosis factor signaling pathway,NF-kappaB signal pathway,PI3K-Akt signal pathway,et al.