An Integrated Multi-Omics Analysis Identifies Oxeiptosis-Related Biomarkers in Diabetic Retinopathy
Jiaoyu Deng, Pengfei Ge, Ying Gao, Hong-Ying Li, Yifan Lin, Yangyang Lu, Haiyue Xie, Dianbo Xu, Ping Xie, Zizhong Hu

TL;DR
This study identifies new biomarkers for diabetic retinopathy by analyzing oxidative stress-related genes and their roles in disease progression.
Contribution
The novel contribution is the integration of multi-omics data to identify oxeiptosis-related genes as potential biomarkers and therapeutic targets in diabetic retinopathy.
Findings
Oxeiptosis scores were significantly elevated in diabetic retinopathy blood samples.
CASP2 and PLEC were identified as hub genes associated with disease progression and immune activation.
A diagnostic nomogram using CASP2 and PLEC achieved strong predictive accuracy for diabetic retinopathy.
Abstract
Background: Diabetic retinopathy (DR), a leading cause of blindness, lacks early biomarkers and mechanism-targeted therapies. While oxidative stress drives DR pathogenesis, the role of oxeiptosis—a reactive oxygen species-induced, caspase-independent cell death pathway—remains largely unexplored. Methods: We integrated transcriptomic profiling (GSE221521: 69 DR vs. 50 controls), two-sample Mendelian randomization (MR) using blood cis-eQTLs (GTEx) as instruments and DR GWAS (FinnGen R12) as outcome, machine learning-based feature selection (SVM-RFE and Boruta algorithms), and single-cell RNA sequencing (scRNA-seq) analysis (GSE165784). Functional enrichment, immune deconvolution (CIBERSORT), and diagnostic nomogram construction were performed. We validated the key genes using human retinal microvascular endothelial cells (hRMECs) treated with high glucose (30 mM). Results: Oxeiptosis…
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Taxonomy
TopicsRetinal Diseases and Treatments · Single-cell and spatial transcriptomics · Ferroptosis and cancer prognosis
