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Dataset Information

Identification and experimental validation of demethylation-related genes in diabetic nephropathy.


ABSTRACT:

Background

Diabetic nephropathy (DN) is a major microvascular complication of diabetes, and its pathogenesis is closely associated with abnormal epigenetic regulation, particularly the silencing of tumor suppressor genes due to hypermethylation of promoter regions. This study was to investigate the workings of demethylation in diabetic nephropathy by applying bioinformatics methods.

Methods

DN-related datasets (GSE142153 and GSE154881) and demethylation-related genes (D-RGs) were included. Differentially expressed genes (DEGs) (DN vs. normal) were obtained. Candidate genes were obtained from the intersection of DEGs and D-RGs. To identify key genes, the Least absolute shrinkage and selection operator (LASSO) and Boruta algorithm, and expression validation were used for scree

SUBMITTER: Miao H 

PROVIDER: S-EPMC12688277 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature