Screening of hub genes related to oxidative stress in heart failure and candidate drugs prediction based on bioinformatics analysis
To identify major genes and pathways involved in oxidative stress in heart failure by bioinformatics analysis.GSE120895 gene expression profiles are acquired from the GEO database.And GEO2R is used to identify differentially expressed genes.We intersect the differentially expressed genes with the oxidative stress-related genes screened in the GeneCard database to find the oxidative stress-related genes in heart failure.R software is used to conduct GO and KEGG analyses of differentially expressed genes.Module of PPI network and analysis of key genes using Cytoscape software.We employ GSE17800 gene expression profiles to confirm the expression of important genes.For important genes,medication interactions are predicted.We identify 52 differentially expressed genes that are up-regulated in response to oxidative stress.Five key genes(ACTB,STAT3,FN1,EDN1,and CAT)are selected as a result.These five genes are validated in the GSE17800 gene expression profile.19 candidate medicines that might target important genes are subsequently predicted.This study employ bioinformatics to explore for distinct genes that may be important to oxidative stress in heart failure,and help to better understand the pathophysiology of heart failure and generates new therapeutic options.
国家科技期刊平台
NSTL
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