Identification of angiogenesis-related hub genes in proliferative diabetic retinopathy via integrated transcriptomics and machine learning.

ABSTRACT:

Background

Proliferative diabetic retinopathy (PDR), characterized by pathological neovascularization, is one of the leading causes of blindness in diabetic patients. A better understanding of its molecular mechanisms is crucial for identifying novel biomarkers and therapeutic targets.

Methods

The dataset GSE102485 was retrieved from the GEO database to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) was applied to detect PDR-associated gene modules. GO and KEGG enrichment analyses were performed using SangerBox. A protein-protein interaction (PPI) network was constructed, and core genes were identified using MCODE and cytoHubba plugins within Cytoscape. Key genes were further refined through LASSO regression. Immune cell

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12763914 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature