2024 年 264 巻 1 号 p. 1-8
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and GSE19339 were downloaded from the Gene Expression Omnibus (GEO) database. The mutually different expression genes (DEGs) detected in the GSE142153 and GSE19339 datasets were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. After a protein-protein interaction network (PPI) analysis, hub genes and transcriptional regulators were tracked by Cytoscape Soft. Finally, potential therapeutic drugs were predicted by the DGIDB drug database. This study identified 274 mutual DEGs from the DN and ACS datasets. Functional analyses indicated that “RNA polymerase II” and the “IL-17 signaling pathway” might play an important role in DN and ACS. Through PPI network construction, the top ten genes were identified. Hub gene and transcription factor interactions were constructed. Seven drugs targeted at VEGFA, IL6, IL1B, and IL1A were evaluated. Four genes and seven drugs were evaluated that could provide a novel perspective for DN and ACS in the future.
