Evidence map›Paper›PMID 41068253›Full record

ArticleScientific reports2025

Identification of plasma extracellular vesicle protein biomarkers in diabetic retinopathy progression.

Zhen Li, Xiaojing Pang, Hang Wu, Junyuan Zhang, Zhili Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhen LiDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Xiaojing PangR&D Department, Kaixianghongkang Biotechnology Co., Ltd., Beijing, China.
Hang WuDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China. wuhang2317@163.com.
Junyuan ZhangDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Zhili WangDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein biomarkers from plasma extracellular vesicles (EVs) have been extensively identified in various diseases. To explore biomarkers associated with diabetic retinopathy (DR) progression, we designed two cohorts, discovery and validation cohorts, including four groups: healthy control, type 2 diabetes mellitus, non-proliferative DR (NPDR), and proliferative DR (PDR). A total of 32 differentially expressed proteins (DEPs) were screened by proteomic analysis in the four groups of the discovery cohort. Among them, four hub proteins, CELA3A, CELA3B, GLUD1, and CTRC, were identified to be related to DR progression, and their correlation with clinical characteristics was further analyzed. Subsequently, enzyme-linked immunosorbent assay in the validation cohort confirmed that the expression levels of CELA3A, CELA3B, and CTRC were consistent with the proteomic results. Receiver operator characteristic curve analysis found that the AUC values of three hub proteins and their composed panels distinguishing NPDR/PDR from DM were all > 0.7, except for DM-NPDR of CELA3B. In addition, CELA3A, CELA3B, and CTRC proteins were significantly correlated with some clinical indicators of DR. This study indicates that the plasma EV proteins CELA3A, CELA3B, and CTRC are expected to become biomarkers to monitor DR progression and provide guidance for DR diagnosis.

Indexed as

BiomarkersBlood ProteinsDiabetic RetinopathyExtracellular VesiclesAgedCase-Control StudiesDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansMaleMiddle AgedProteomicsROC CurveBiomarkersBlood ProteinsBiomarkersDiabetic retinopathyPlasma extracellular vesiclesProteomics

Identifiers

PMID41068253
PMCPMC12511336

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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.