Paired Tear Fluid – Plasma Inflammatory Profiling Identifies Compartment-Specific Biomarkers for Diabetic Retinopathy and Diabetic Macular Edema

Ting Yu1,2,*, Sheng Li3,*, Fang Cheng4,*, Yanzi Liu3, Guimei Hou3, Jicheng Dong4, Yanjie Huang5, Shoufang Qu1,2, Qiong Chen6 Division of in vitro Diagnostics for Non-Infectious Diseases, National Institutes for Food and Drug Control, Beijing, People’s Republic of ChinaState Key Laboratory of Drug Regulatory Science, Beijing, People’s Republic of ChinaDalian NO.3 People’s Hospital, Dalian, Liaoning, People’s Republic of ChinaSchool of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, People’s Republic of ChinaGuangdong Provincial Institute of Metrolog, Guangzhou, Guangdong, People’s Republic of ChinaMedical Research Center, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence to: Qiong Chen, Medical Research Center, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, People’s Republic of China, Email [email protected] Qu, State Key Laboratory of Drug Regulatory Science, Beijing, People’s Republic of China, Email [email protected]: Diabetic retinopathy (DR) is a primary contributor to vision loss worldwide and growing with an increase in the elderly population. Preventing or slowing DR progression remains a critical unmet need. Recognizing the significance of systemic and ocular chronic inflammation in the progression of DR, this study aimed to explore inflammatory factor profiles in plasma and tear samples to identify potential biomarkers and therapeutic targets.Methods: Using Olink’s proximity extension assay, 92 inflammation-related proteins were measured in paired plasma and tear samples of 42 participants in type 2 diabetes mellitus (T2DM), DR and Diabetic Macular Edema (DME), followed by bioinformatic analysis for differentially expressed proteins (DEPs).Results: Different expression patterns of inflammatory proteins were observed between plasma and tear level. Plasma DEPs was mainly decreased during DR development, while tears DEPs mainly upregulated. DME had more differential cytokines than DR in both samples. By multi-comparison analyses, 23 inflammatory factors exhibited differential expression in the three compared groups (DR vs T2DM, DME vs T2DM and DME vs DR) in plasma level, and 30 differential inflammatory cytokines in tear samples. GO and KEGG analysis enriched pathways were primarily associated with extracellular region, cytokine activity, IL17 signaling pathway and JAK-STAT signaling pathway.Conclusion: Tears exhibit more DEPs than plasma during the progression of DR and DME, and the two sample types show opposite inflammatory factor expression trends. The DEPs in tears, especially the newly discovered inflammatory factors TNFSF14, CXCL11, IL6, CCL19, DNER and CXCL9 may serve as potential biomarkers for the diagnosis and progression monitoring of DR and DME.Keywords:diabetic retinopathy, diabetic macular edema, inflammatory factor, differential expression analysis, Olink proteomics, tear fluid

Authors

Publication Details

Journal
Dove Medical Press (Taylor and Francis Group)
Published
2026-06-30
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Paired Tear Fluid – Plasma Inflammatory Profiling Identifies Compartment-Specific Biomarkers for Diabetic Retinopathy and Diabetic Macular Edema

Q Chen, 侯桂梅, Yu Tc, Yanjie Huang et al.
Dove Medical Press (Taylor and Francis Group)
Ocular Surface and Contact Lens
article

Paired Tear Fluid – Plasma Inflammatory Profiling Identifies Compartment-Specific Biomarkers for Diabetic Retinopathy and Diabetic Macular Edema

Q Chen, 侯桂梅, Yu Tc, Yanjie Huang, Shoufang Qu, Yanzi Liu, Jicheng Dong, Sheng Li, Fang Cheng
article en

Abstract

Ting Yu1,2,*, Sheng Li3,*, Fang Cheng4,*, Yanzi Liu3, Guimei Hou3, Jicheng Dong4, Yanjie Huang5, Shoufang Qu1,2, Qiong Chen6 Division of in vitro Diagnostics for Non-Infectious Diseases, National Institutes for Food and Drug Control, Beijing, People’s Republic of ChinaState Key Laboratory of Drug Regulatory Science, Beijing, People’s Republic of ChinaDalian NO.3 People’s Hospital, Dalian, Liaoning, People’s Republic of ChinaSchool of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, People’s Republic of ChinaGuangdong Provincial Institute of Metrolog, Guangzhou, Guangdong, People’s Republic of ChinaMedical Research Center, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence to: Qiong Chen, Medical Research Center, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, People’s Republic of China, Email [email protected] Qu, State Key Laboratory of Drug Regulatory Science, Beijing, People’s Republic of China, Email [email protected]: Diabetic retinopathy (DR) is a primary contributor to vision loss worldwide and growing with an increase in the elderly population. Preventing or slowing DR progression remains a critical unmet need. Recognizing the significance of systemic and ocular chronic inflammation in the progression of DR, this study aimed to explore inflammatory factor profiles in plasma and tear samples to identify potential biomarkers and therapeutic targets.Methods: Using Olink’s proximity extension assay, 92 inflammation-related proteins were measured in paired plasma and tear samples of 42 participants in type 2 diabetes mellitus (T2DM), DR and Diabetic Macular Edema (DME), followed by bioinformatic analysis for differentially expressed proteins (DEPs).Results: Different expression patterns of inflammatory proteins were observed between plasma and tear level. Plasma DEPs was mainly decreased during DR development, while tears DEPs mainly upregulated. DME had more differential cytokines than DR in both samples. By multi-comparison analyses, 23 inflammatory factors exhibited differential expression in the three compared groups (DR vs T2DM, DME vs T2DM and DME vs DR) in plasma level, and 30 differential inflammatory cytokines in tear samples. GO and KEGG analysis enriched pathways were primarily associated with extracellular region, cytokine activity, IL17 signaling pathway and JAK-STAT signaling pathway.Conclusion: Tears exhibit more DEPs than plasma during the progression of DR and DME, and the two sample types show opposite inflammatory factor expression trends. The DEPs in tears, especially the newly discovered inflammatory factors TNFSF14, CXCL11, IL6, CCL19, DNER and CXCL9 may serve as potential biomarkers for the diagnosis and progression monitoring of DR and DME.Keywords:diabetic retinopathy, diabetic macular edema, inflammatory factor, differential expression analysis, Olink proteomics, tear fluid

Dove Medical Press (Taylor and Francis Group)
Openalex Percentile: Top 5%
Ocular Surface and Contact Lens
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.