Objective:To identify the hub differentially expressed genes(DEGs)of glomerular pathological changes and potential pathways in molecular process of type 2 diabetic nephropathy(DN)based on bioinformatics technology.Methods:The differentially expressed genes of Gene Expression Omnibus(GEO)dataset GSE96804 in DN and normal kidney tissues were analyzed by R 3.6.2 software. DEGs were further assessed by Gene Ontology(GO)function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signal pathway analysis. Subsequently, the hub genes and their associated pathways were analyzed using String 11.0 and Cytoscape 3.7.2 software.Results:A total of 168 DEGs were obtained in the dataset. Among them, seven hub genes were identified, including ALB, FN1, EGF, PTGS2, PLG, KDR, and LOX. Three hub genes, ALB, EGF, PLG, exerted a direct action on glomerulus. GO enrichment analysis of DEGs was mainly manifested in extracellular matrix organization, extracellular structure organization, platelet degranulation and other biological processes, extracellular matrix, secretory granule lumen, platelet alpha granule and other cell components, chaperone binding, copper ion binding, antioxidant activity, and other molecular functions. DEGs mainly regulated metabolic process, which was related to fatty acid degradation signal pathway, exogenous substance metabolism related to CYP enzyme and drug metabolism signal pathway.Conclusion:A bioinformatics analysis of DN from the perspective of glomerulopathy is helpful to understand the potential molecular mechanism of DN and provide reference for further validation.