Identification of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis.

ABSTRACT: The pathogenesis of diabetic nephropathy is not completely understood, and the effects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identified 345 genes through differential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune effector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to under

SUBMITTER: Tang S 

PROVIDER: S-EPMC7417539 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature