Abstract
Pyroptosis plays an important role in the development of acute liver failure (ALF). In this study, we aimed to identify and validate important pyroptosis-related genes in ALF by bioinformatics analysis. The pyroptosis-related genes involved in the differential expression of ALF were identified using the gene expression comprehensive database (GEO) and the mRNA expression profile dataset GSE217659 provided by R software. The Gene Ontology (GO) enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed for the differentially expressed related genes.Further screened the module genes by WGCNA and identified four genes (Gzmb, Mefv, Gbp 2 and Casp 4), which could be used as potential diagnostic biomarkers for ALF. Subsequently, the hub gene was modeled using nomogram to assess whether the model was good.