Our study explored the same platform GEO dataset for diabetic nephropathy bioinformatics analysis and identified eight potential key genes (TYROBP, ITGB2, CD53, IL10RA, LAPTM5, CD48, C1QA, and IRF8), screened eight transcription factors, and identified 93 miRNA nodes. Here, CD48 is linked to diabetic kidney disease.