Transcriptome analysis combined with Mendelian randomization screening for biomarkers causally associated with diabetic retinopathy.

ABSTRACT:

Background

Diabetic retinopathy (DR) is considered one of the most severe complications of diabetes mellitus, but its pathogenesis is still unclear. We hypothesize that certain genes exert a pivotal influence on the progression of DR. This study explored biomarkers for the diagnosis and treatment of DR through bioinformatics analysis.

Methods

Within the GSE221521 and GSE189005 datasets, candidate genes were acquired from intersections of genes obtained using WGCNA and DESeq2 packages. Mendelian randomization (MR) analysis selected candidate biomarkers exhibiting causal relationships with DR. Receiver Operating Characteristic (ROC) analysis determined the diagnostic efficacy of biomarkers, the expression levels of biomarkers were verified in the GSE221521 and GSE189005 datase

SUBMITTER: Liu J 

PROVIDER: S-EPMC11251905 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature