Identification of Key Genes Associated with Hepatitis B Virus Infection-Related Acute Liver Failure through Bioinformatics Analysis
Objective To utilize bioinformatics for a comprehensive analysis to identify differentially expressed genes related to hepatitis B virus(HB V)-associated acute liver failure(ALF),aiming to discover potential therapeutic targets and prognostic biomarkers.Methods We selected the datasets GSE14668,GSE38941,GSE62029,and GSE96851 from the Gene Expression Omnibus(GEO)database.The R package limma was used to identify differentially expressed genes(DEGs).GO functional annotation,KEGG analysis,and GSEA pathway enrichment analysis were performed on the DEGs.Protein-protein interaction(PPI)networks were constructed using the STRING database and Cytoscape software to identify key genes,which were validated using GSE96851 datasets from the GEO database.Receiver operating characteristic(ROC)curves were used to evaluate the potential value of the DEGs as therapeutic and prognostic biomarkers.Results A total of 1 300 DEGs were identified,with 724 upregulated and 576 downregulated.PPI analysis using Cytoscape's MCODE module revealed 10 key genes:APOB,ITGB2,CD8A,CD44,TYROBP,VEGFA,ITGAM,CD86,PTPRC,and TLR4.ROC curve analysis showed that the area under the curve(AUC)for these 10 key genes in the training set was greater than 0.9,with sensitivity and specificity both above 0.8,indicating that these key genes have high diagnostic value for HBV-ALF.Conclusion APOB,ITGB2,CD8 A,CD44,TYROBP,VEGFA,ITGA M,CD86,PTPRC and TLR4 genes are potential prognostic indicators and potential therapeutic targets for HBV-ALF.
hepatitis B virusacute liver failurebioinformatics
万方数据
维普
