Evidence map›Paper›PMID 41803547›Full record

ArticleEye (London, England)2026

Olink proteomics profiling platform reveals inflammatory protein biomarkers in vitreous with different degrees of proliferative vitreoretinopathy.

Xiaohuan Zhao, Siyang Han, Huiyi Jin, Hong Wang, Xiaolu Yang, Xiaodong Sun

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Article in Eye (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaohuan Zhao *Department of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Siyang Han *Department of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huiyi JinDepartment of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hong WangDepartment of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China. 13371989245@126.com.
Xiaolu YangDepartment of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China. dryangxiaolu@163.com.ORCID http://orcid.org/0000-0002-9823-0458
Xiaodong SunDepartment of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-5015-0945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the role of inflammation in proliferative vitreoretinopathy (PVR) by analysing inflammation-related proteins in vitreous samples and identifying potential biomarkers for PVR severity.

methodsVitreous samples were collected from patients with different stages of PVR (control group, n = 15; PVR A/B, n = 15; PVR C/D, n = 14). Using an Onlink proteomics panel, the levels of 92 inflammation-related proteins were measured. Differential expression analysis was conducted to identify proteins significantly altered between the PVR and control groups. AlphaFold3 modelling was employed to predict common binding peptide segments among differentially expressed proteins. Additionally, the impact of PVR vitreous on inflammatory cytokine production in retinal pigment epithelium (RPE) cells was assessed to explore the functional consequences of the observed protein changes.

resultsThe proteomic analysis revealed differential expression of 63 inflammation-related proteins between the PVR and control groups. Among these, MCP-1 exhibited significant variations across PVR stages and demonstrated high diagnostic value for PVR presence (AUC = 0.949) and severity (PVR C/D, AUC = 0.719). AlphaFold3 modelling identified a common binding peptide segment, INAPVTCCYN, shared by MCP-1, CCL3, CCL4 and CXCL9, suggesting their potential collaborative role in PVR progression. Furthermore, vitreous samples from PVR patients significantly stimulated inflammatory cytokine production in RPE cells, indicating a functional link between vitreous inflammation and retinal pathology.

conclusionsPVR is associated with elevated levels of vitreous inflammation and MCP-1 is a promising biomarker for predicting and diagnosing PVR severity. The identification of a common binding peptide segment and the stimulation of cytokine production in RPE provide mechanistic insights into PVR progression.

Indexed as

BiomarkersEye ProteinsProteomicsVitreoretinopathy, ProliferativeVitreous BodyAdultAgedChemokine CCL2CytokinesFemaleHumansInflammationMaleMiddle AgedRetinal Pigment EpitheliumBiomarkersChemokine CCL2CytokinesEye Proteins

Identifiers

PMID41803547
PMCPMC13195096

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.