Identification of potential ferroptosis-related biomarkers in proliferative vitreoretinopathy based on machine learning

This study identifies TIMP1 and STAT3 as ferroptosis-associated candidate genes in proliferative vitreoretinopathy and highlights potential links among ferroptosis-related regulatory pathways, immune microenvironment alterations, and PVR pathogenesis. These findings provide a foundation for further mechanistic studies to clarify the role of ferroptosis in PVR.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2026-02-10
DOI
https://doi.org/10.3389/fmolb.2026.1725407
Primary Topic
Retinal and Macular Surgery
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of potential ferroptosis-related biomarkers in proliferative vitreoretinopathy based on machine learning

Shengxiang Zhang, Lingdan Wu, Jiangying Liu, Qihua Xu et al.
Frontiers in Molecular Biosciences
Retinal and Macular Surgery
article

Identification of potential ferroptosis-related biomarkers in proliferative vitreoretinopathy based on machine learning

Shengxiang Zhang, Lingdan Wu, Jiangying Liu, Qihua Xu, Yingchao Xue, Boyu Liu, Hongyan Song
article en

Abstract

This study identifies TIMP1 and STAT3 as ferroptosis-associated candidate genes in proliferative vitreoretinopathy and highlights potential links among ferroptosis-related regulatory pathways, immune microenvironment alterations, and PVR pathogenesis. These findings provide a foundation for further mechanistic studies to clarify the role of ferroptosis in PVR.

Frontiers in Molecular BiosciencesVol. 13
Nanchang University (CN), First Affiliated Hospital of Jiangxi Medical College (CN), Jiangxi Provincial People's Hospital (CN), Jiangxi Chest Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Health Commission of Jiangxi Province
Reduced inequalities
Openalex Percentile: Top 61%
Retinal and Macular Surgery
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Identification of potential ferroptosis-related biomarkers in proliferative vitreoretinopathy based on machine learning — Shengxiang Zhang, Lingdan Wu, et al. · Frontiers in Molecular Biosciences (2026) | TGRS Research Map | TGRS