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Stage-Associated Cellular and Molecular Signatures in Diabetic Retinopathy Identified Through Integrated Bulk and
Ying Li1, Lian Liu1, Yuan Zhang1
1Department of Ophthalmology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China.
International Journal of Molecular Sciences
|March 28, 2026
Summary
Diabetic retinopathy (DR) involves photoreceptor, endothelial, and neural cell changes at different stages. This study maps cellular and molecular shifts in DR progression, identifying potential therapeutic targets.
Area of Science:
- Ophthalmology
- Genomics
- Molecular Biology
Background:
- Diabetic retinopathy (DR) is a leading cause of vision loss in diabetes patients.
- The specific cellular and molecular changes in retinal cells during DR progression are not fully understood.
- Understanding these changes is crucial for developing effective treatments.
Purpose of the Study:
- To comprehensively map the cellular and molecular landscape of diabetic retinopathy (DR) across different disease stages.
- To identify key cell populations and signaling pathways involved in DR progression.
- To discover potential diagnostic biomarkers and therapeutic targets for DR.
Main Methods:
- Integration of bulk and single-cell transcriptomic data from human and mouse retinas.
- Analysis of gene expression patterns and cell-cell communication pathways.
- Validation of key gene expression changes using quantitative PCR (qPCR).
Main Results:
- Photoreceptors show altered ribosomal pathways in no-DR (NDR).
- Endothelial cells and pericytes exhibit transcriptional changes and LAMININ signaling alterations in non-proliferative DR (NPDR).
- Neural and glial cells are involved in proliferative DR (PDR), with ANGPTL signaling changes; DR-specific cell subtypes and potential gene signatures were identified.
Conclusions:
- This study provides a detailed cellular and molecular map of DR progression.
- Identified cell-specific changes and signaling pathways offer insights into DR pathogenesis.
- Findings suggest potential novel therapeutic targets and biomarkers for DR management.

