Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.

ABSTRACT: This paper aims to investigate m6A modification during DKD progression. We evaluated m6A regulators expression in peripheral blood mononuclear cells, whole kidney tissue, glomerular, and tubulointerstitial samples. CIBERSORT and single-sample gene set enrichment analysis analyzed glomerular immune characteristics. Logistic-LASSO regression were used to develop the m6A regulators model that can identify early DKD. Consensus clustering algorithms were used to classify DKD in glomerular samples into m6A modified subtypes based on the expression of m6A regulators. Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. Weighted gene co-expression network analysis and protein-protein interaction networks identified m6A modified subt

SUBMITTER: Li W 

PROVIDER: S-EPMC11914134 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature