Comparative Tear Fluid Proteomics to Explore Treatment Responsiveness in Diabetic Macular Edema: A Pilot Study

Diabetic macular edema (DME) is a leading cause of vision loss in patients with diabetes, with variable responses to intravitreal antivascular endothelial growth factor (VEGF) therapy. This study aimed to identify tear fluid proteins linked to treatment responsiveness. Tear fluid samples were collected from 13 patients with diabetes (21 eyes with DME), among which 9 samples were analyzed using tandem mass tag-labeled liquid chromatography-mass spectrometry, and all 21 samples were validated with ELISA. Protein identification and quantification were performed using MaxQuant. Gene set enrichment analysis identified differentially expressed proteins, and an enzyme-linked immunosorbent assay was used to validate specific protein targets. Among the 3121 quantified proteins, DME-related proteins were enriched in cellular localization, oxidative stress response, and VEGFA-VEGFR2 signaling. Responders' tear fluid proteomes were linked to modulation of the extracellular matrix and inflammation, whereas nonresponders showed enrichment in inflammation and NOTCH/WNT pathways. Targeted protein analysis demonstrated that the interplay between TIMP1, MMP9, and insulin growth factor binding protein 3 (IGFBP3) correlated with treatment response. These results suggest that tear fluid proteomic analysis is a promising alternative to intraocular sampling for evaluating DME responsiveness, offering insights consistent with aqueous and vitreous proteomes while aligning with clinical prognosis and disease pathophysiology.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-08-29
DOI
https://doi.org/10.1021/acs.jproteome.5c00181
Citations
1
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
1.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Tear Fluid Proteomics to Explore Treatment Responsiveness in Diabetic Macular Edema: A Pilot Study

Szu‐Hua Pan, Hsin‐Yi Wu, Yi-Ting Hsieh, Yuan-Ling Hsu et al.
1 citations
Journal of Proteome Research
Retinal Diseases and Treatments
1.71
article

Comparative Tear Fluid Proteomics to Explore Treatment Responsiveness in Diabetic Macular Edema: A Pilot Study

Szu‐Hua Pan, Hsin‐Yi Wu, Yi-Ting Hsieh, Yuan-Ling Hsu, I-Hsin Ma
article en
1 citations

Abstract

Diabetic macular edema (DME) is a leading cause of vision loss in patients with diabetes, with variable responses to intravitreal antivascular endothelial growth factor (VEGF) therapy. This study aimed to identify tear fluid proteins linked to treatment responsiveness. Tear fluid samples were collected from 13 patients with diabetes (21 eyes with DME), among which 9 samples were analyzed using tandem mass tag-labeled liquid chromatography-mass spectrometry, and all 21 samples were validated with ELISA. Protein identification and quantification were performed using MaxQuant. Gene set enrichment analysis identified differentially expressed proteins, and an enzyme-linked immunosorbent assay was used to validate specific protein targets. Among the 3121 quantified proteins, DME-related proteins were enriched in cellular localization, oxidative stress response, and VEGFA-VEGFR2 signaling. Responders' tear fluid proteomes were linked to modulation of the extracellular matrix and inflammation, whereas nonresponders showed enrichment in inflammation and NOTCH/WNT pathways. Targeted protein analysis demonstrated that the interplay between TIMP1, MMP9, and insulin growth factor binding protein 3 (IGFBP3) correlated with treatment response. These results suggest that tear fluid proteomic analysis is a promising alternative to intraocular sampling for evaluating DME responsiveness, offering insights consistent with aqueous and vitreous proteomes while aligning with clinical prognosis and disease pathophysiology.

Journal of Proteome ResearchVol. 24(10)
National Taiwan University (TW), University System of Taiwan (TW), Institute of Biological Chemistry, Academia Sinica (TW), Abterra Biosciences (United States) (US), Translational Research in Oncology (FR), National Taiwan University Hospital (TW), Genomics Medicine (Ireland) (IE), Center for Translational Molecular Medicine (NL), Instituto de Medicina Genómica (ES), Academia Sinica (TW)
National Science and Technology Council
Openalex Percentile: Top 14%
Retinal Diseases and Treatments
1.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.