Identification of pyroptosis-related genes and potential drugs in diabetic nephropathy

作者：Meng Yan, Wenwen Li, Rui Wei, Shuwen Li, Yan Liu, Yuqian Huang, Yunye Zhang, Zihao Lu, Qian Lü · 发表于：Journal of Translational Medicine · 年份：2023 · DOI：10.1186/s12967-023-04350-w · 被引用次数：46 · 研究领域：Inflammasome and immune disorders、Gout, Hyperuricemia, Uric Acid、Inflammatory Biomarkers in Disease Prognosis

BACKGROUND: Diabetic nephropathy (DN) is one of the serious microvascular complications of diabetes mellitus (DM). A growing body of research has demonstrated that the inflammatory state plays a critical role in the incidence and development of DN. Pyroptosis is a new way of programmed cell death, which has the particularity of natural immune inflammation. The inhibition of inflammatory cytokine expression and regulation of pathways related to pyroptosis may be a novel strategy for DN treatment. The aim of this study is to identify pyroptosis-related genes and potential drugs for DN. METHODS: DN differentially expressed pyroptosis-related genes were identified via bioinformatic analysis Gene Expression Omnibus (GEO) dataset GSE96804. Dataset GSE30528 and GSE142025 were downloaded to verify pyroptosis-related differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) regression analysis was used to construct a pyroptosis-related gene predictive model. A consensus clustering analysis was performed to identify pyroptosis-related DN subtypes. Subsequently, Gene Set Variation Analysis (GSVA), Gene Ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted to explore the differences between DN clusters. A protein-protein interaction (PPI) network was used to select hub genes and DGIdb database was utilized to screen potential therapeutic drugs/compounds targeting hub genes. RESULT...