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Proteomic Analysis of Aqueous Humor Identified Clinically Relevant Molecular Targets for Neovascular Complications in Diabetic Retinopathyopen access

Authors
Oh, Jae WonAhn, Seong JoonJung, Jae HunKim, Tae WanKim, Kwang Pyo
Issue Date
Apr-2025
Publisher
American Society for Biochemistry and Molecular Biology Inc.
Citation
Molecular & Cellular Proteomics, v.24, no.4, pp 1 - 15
Pages
15
Indexed
SCIE
SCOPUS
Journal Title
Molecular & Cellular Proteomics
Volume
24
Number
4
Start Page
1
End Page
15
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207472
DOI
10.1016/j.mcpro.2025.100953
ISSN
1535-9476
1535-9484
Abstract
Diabetic retinopathy (DR) is a leading cause of blindness adults under 40 in the developed world, with a significant proportion progressing to vision-threatening stages such as proliferative diabetic retinopathy (PDR) and neovascular glaucoma (NVG). This study aims to explore the molecular mechanisms underlying the progression from nonproliferative DR to PDR and NVG, focusing on identifying potential biomarkers and therapeutic targets. Utilizing discovery-based proteomics, specifically label-free quantification and tandem mass tag, we analyzed aqueous humor (AH) proteins obtained during cataract surgery or anterior chamber paracentesis from patients with nonproliferative DR, PDR, and NVG. Validation marker candidates for each disease state was conducted using triple quadrupole-MS for targeted protein quantification. Our proteomic analysis identified 2255 proteins, and gene ontology analysis and functional annotation highlighted key biological processes implicated in DR, such as lens development, immune responses, and lipid metabolism. Validation of potential biomarkers identified 20 proteins with significant concentration changes, including several candidates with diagnostic utility based on ROC curve analysis. Further investigation into clinical relevance revealed that crystallin gamma-S is strongly associated with cataract severity, highlighting its role as potential marker for ocular complications in DR. Importantly, we identified that the pathological factors driving DR progression have a much greater impact than age, previously known variable, in shaping the proteomic landscape of AH. Additionally, proteins associated with macular degeneration (CA1, CA2, and HBA1) were uncovered, providing new insights into overlapping mechanisms between DR and other retinal diseases. Finally, proteins linked to panretinal photocoagulation treatment, including APOB and CST6, were identified, suggesting their involvement in the therapeutic response and posttreatment adaptation. These findings underscore the potential of AH proteomics in uncovering predictive biomarkers and elucidating the molecular pathogenesis of DR and its complications.
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