الملخص
Objective @#To screen the core genes of diabetic kidney disease ( DKD) based on bioinformatics , ex- plore the therapeutic targets of DKD , and discuss its possible regulatory mechanism .@*Methods @#The expression da- ta matrix of glomerular transcriptome in patients with DKD in GEO database (GSE30528 , GSE47183) was extrac- ted , and the differentially expressed genes ( DEGs) were screened by bioinformatics methods to identify the core differential genes , and then gene expression and enrichment analysis (GSEA) were conducted to predict effective targets . @*Results @#By screening and identifying the mRNA expression matrix of DKD , five core genes were screened out. Among them , C1orf21 and NPHS1 were significantly down regulated , and CD48 , COL1A2 , and TGFBI were up regulated . NPHS1 and CD48 were significantly related to immune differences , intercellular communication , and cell surface interaction . Through receiver operating characteristic curve ( ROC) analysis and GSEA analysis and drug target prediction , it might be of great significance for the treatment of DKD .@*Conclusion @#The core genes screened in this study have significant correlation with DKD , which may be used as effective markers for the treat- ment of diabetes . And then , this study provides a theoretical basis for the treatment and identification of DKD .