Evidence map›Paper›PMID 41629618›Full record

ArticleScientific reports2026

Identification and validation of a novel ferroptosis-related gene signature associated with inherited retinal degeneration in Rd10 mice.

Xu Qiu, Xue-Wei Fu, Xin-Lan Lei, Wei-Jie Huang, Mao-Lin Tao, Guo-Li Zheng, Yong-Zhao Wei, Fei Chen, Hong-Yang Luo, Jian-Wei Xu and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Xu Qiu *Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Xue-Wei Fu *Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Xin-Lan Lei *Aier Eye Hospital of Wuhan University, Wuhan, China.
Wei-Jie HuangCentral Laboratory of The First People's Hospital of Guiyang, Guizhou, China.
Mao-Lin TaoCentral Laboratory of The First People's Hospital of Guiyang, Guizhou, China.
Guo-Li ZhengCentral Laboratory of The First People's Hospital of Guiyang, Guizhou, China.
Yong-Zhao WeiCentral Laboratory of The First People's Hospital of Guiyang, Guizhou, China.
Fei ChenDepartment of Ophthalmology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hong-Yang LuoDepartment of Ophthalmology, People's Hospital of Wudang District, Guizhou, China.
Jian-Wei XuTissue Engineering and Stem Cell Research Center of Guizhou Medical University, School of Basic Medicine, Guizhou Medical University, Guizhou, China. xujianwei@gmc.edu.cn.
Hao GuDepartment of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China. 13765135577@139.com.
Kun-Chao WuDepartment of Ophthalmology, First People's Hospital of Guiyang, Guizhou, China. wukunchao@126.com.

Funding

‌Guiyang Science and Technology Planning Project Zhukehetong[2024] No.2-25Guizhou Medical University - Guizhou Double Helix Biotechnology Co., Ltd. Joint Project No.HY2403Guizhou Province Foundation for Innovative Thousand-Level Talent Zhukehetong-GCC[2022]015Guizhou Science Technology Support Project Qiankehezhicheng[2020]4Y146Medical Scientific Research Foundation of Wuhan Municipal Health Commission No. WG21D03Science and Technology Fund of Guizhou Provincial Health Commission Qianweijianhan[2024]24the National Natural Science Foundation of China No. 82101169
6 · The paper itself

Abstract

Retinitis pigmentosa (RP) is among the most irreversible inherited blindness diseases. Previous evidences have demonstrated that ferroptosis plays a significant role in various neurodegenerative diseases. Thus, elucidating the relationship between ferroptosis and retinitis pigmentosa may yield valuable insights for identifying therapeutic targets for inherited retinal degeneration. In the current study, a public dataset of GSE56473 from the Gene Expression Omnibus (GEO) database was analysed to identify the differentially expressed ferroptosis related genes (DE-FRGs) within the degenerative retinas between Rd10 mice and control individuals. Gene Ontology (GO), Kyoto Encyclopedia of Genomes (KEGG) and protein-protein interaction (PPI) network analyses were performed on these DE-FRGs. Hub ferroptosis-related genes (HFRGs) were subsequently identified using multiple bioinformatic algorithms. Changes in the expression profiles of the identified HFRGs were validated through the GSE178928 dataset. Immunofluorescence staining, quantitative PCR (qPCR) and a single cell sequencing dateset analysis were performed to evaluated the expression patterns of several HFRGs in the Rd10 mice. Furthermore, potential target drugs were predicted utilizing the DGIdb database. In total, 37 ferroptosis-related genes were identified among the 2096 differentially expressed genes, which were enriched in several biological processes including the response to oxidative stress, positive regulation of neuron death, ferroptosis and the PPAR signaling. Through protein-protein interaction network and multiple bioinformatics analyses, eight HFRGs (Egr1, Cd44, Egfr, Tlr4, Timp1, Cybb, Lcn2, and Ppara) were ultimately identified, with most being upregulated in the retinas of Rd10 mice. Among these HFRGs, Egr1 expression was significantly increased in rod and cone photoreceptors, whereas Cd44 expression was markedly upregulated in Müller cells. Several potential therapeutic compounds, such as Genipin, were also predicted. Our study provides novel biomarkers and therapeutic targets for the inherited retinal degeneration.

Indexed as

FerroptosisRetinal DegenerationRetinitis PigmentosaTranscriptomeAnimalsComputational BiologyDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksMiceProtein Interaction MapsEgr1 and Cd44FerroptosisPhotoreceptorRetinitis pigmentosa

Identifiers

PMID41629618
PMCPMC12920653

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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.