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

上睑下垂 小桶 计算生物学 基因 生物 Lasso(编程语言) 生物信息学 基因表达 遗传学 程序性细胞死亡 基因本体论 计算机科学 万维网 细胞凋亡
作者
Meng Yan,Wenwen Li,Rui Wei,Shuwen Li,Yan Liu,Yuan Huang
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-2873055/v1
摘要

Abstract 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 novel strategies for DN prevention and treatment. Correlational studies of pyroptosis in DN, however, remain to be elucidated. 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 used to screen potential therapeutic drugs/compounds targeting hub genes. Results A total of 24 differentially expressed pyroptosis-related genes were identified in DN. A 16 gene predictive model was conducted via LASSO regression analysis. On the basis of these 16 genes, DN cases were divided into two subtypes, and the subtypes are enriched in the regulation of inflammatory response, activation of immune response and cell metabolism. In addition, we identified 10 hub genes among these subtypes, and predicted 65 potential DN therapeutics that target key genes. Conclusion We identified 2 pyroptosis-related DN clusters and 65 potential therapeutical agents/compounds for DN, which might shed a light on the treatment of DN.
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