Identification of unique biomarkers for proliferative diabetic retinopathy with tractional retinal detachment by proteomics profiling of vitreous humor

Diabetic retinopathy (DR) is one of the major complications of diabetes, resulting in severe vision loss. Traction retinal detachment (TRD) is the main factor affecting the effect of proliferative diabetic retinopathy (PDR) surgery. Liquid Chromatography with tandem mass spectrometry (LC-MS/MS) was adopted to analyze the proteomes of the vitreous in the TRD, vitreous hemorrhage (VH) and macular hole (MH) groups. By employing bioinformatics tools for GO and KEGG pathway annotation, as well as conducting protein-protein interaction(PPI) network analysis, we investigated the functional enrichment of proteins in the TRD vitreous and their associated pathways. Additionally, peptide center analysis was performed on the proteomic data to identify key differentially expressed proteins based on screening results. Bioinformatics analysis showed that DEPs is mainly enriched in the complement, the coagulation cascade systems and regulation of actin cytoskeleton. The protein interaction network analysis showed that the central proteins were mainly related to sphingolipid metabolism. APOA4, CHI3L1, LTBP2 were significantly up-regulated in TRD, which were related to the complement system, coagulation cascade and platelet activation, sphingolipid metabolism and other pathways. APOA4 and CHI3L1 protein in patients with TRD group raised significantly in the vitreous humor, shows the potential biomarkers for TRD.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-18
DOI
https://doi.org/10.1038/s41598-025-98327-y
Citations
3
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
5.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of unique biomarkers for proliferative diabetic retinopathy with tractional retinal detachment by proteomics profiling of vitreous humor

Shuo Sun, Rongjie Wei, Yudong Zhou, Yanhua Chu et al.
3 citations
Scientific Reports
Retinal Diseases and Treatments
5.12
article

Identification of unique biomarkers for proliferative diabetic retinopathy with tractional retinal detachment by proteomics profiling of vitreous humor

Shuo Sun, Rongjie Wei, Yudong Zhou, Yanhua Chu, Wei Zhang, Zhenhua Pan, Quanhong Han, Yong Tang, Yuyan Liu, Xiujuan Zhao
article en
3 citations

Abstract

Diabetic retinopathy (DR) is one of the major complications of diabetes, resulting in severe vision loss. Traction retinal detachment (TRD) is the main factor affecting the effect of proliferative diabetic retinopathy (PDR) surgery. Liquid Chromatography with tandem mass spectrometry (LC-MS/MS) was adopted to analyze the proteomes of the vitreous in the TRD, vitreous hemorrhage (VH) and macular hole (MH) groups. By employing bioinformatics tools for GO and KEGG pathway annotation, as well as conducting protein-protein interaction(PPI) network analysis, we investigated the functional enrichment of proteins in the TRD vitreous and their associated pathways. Additionally, peptide center analysis was performed on the proteomic data to identify key differentially expressed proteins based on screening results. Bioinformatics analysis showed that DEPs is mainly enriched in the complement, the coagulation cascade systems and regulation of actin cytoskeleton. The protein interaction network analysis showed that the central proteins were mainly related to sphingolipid metabolism. APOA4, CHI3L1, LTBP2 were significantly up-regulated in TRD, which were related to the complement system, coagulation cascade and platelet activation, sphingolipid metabolism and other pathways. APOA4 and CHI3L1 protein in patients with TRD group raised significantly in the vitreous humor, shows the potential biomarkers for TRD.

Scientific ReportsVol. 15(1)
Nankai University (CN), Tianjin Medical University Eye Hospital (CN), Tianjin Medical University (CN)
Zero hunger
Openalex Percentile: Top 5%
Retinal Diseases and Treatments
5.12
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.