Evidence map›Paper›PMID 41535570›Full record

ArticleScientific reports2026

The role of cellular senescence-related genes in ischemia-reperfusion injury and the identification of their biomarkers.

Lianxu Sun, Huan Liu, Ting Jia, Songyan Xue, Xuhao Li, Jing Zhang, Zhizheng Xing, Jiayi Wang, Jing Ma

Abstract read
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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. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Lianxu SunDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Huan LiuDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Ting JiaDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Songyan XueDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Xuhao LiShaanxi University of Chinese Medicine, Xian Yang, 712046, China.
Jing ZhangDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Zhizheng XingDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China.
Jiayi WangDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China. wangjiayi@fmmu.edu.cn.
Jing MaDepartment of Traditional Chinese Medicine, Xijing Hospital, The Fourth Military Medical University, 127 Changlexi Road, Xi'an, 710032, China. jingma@fmmu.edu.cn.

Funding

The Shaanxi Administration of Traditional Chinese Medicine, and the Clinical Collaborative Innovation Project of Integrated Traditional Chinese and Western Medicine 2020-ZXY-001
6 · The paper itself

Abstract

Cellular senescence-related genes significantly influence the pathophysiology of ischemia–reperfusion injury (IRI). And identifying their shared biomarkers may improve the diagnosis and treatment of IRI. We analyzed three datasets (GSE61592, GSE67308, GSE83472) from the Gene Expression Omnibus database, and intersected them with the cellular senescence-related dataset to obtain 26 significantly altered cellular senescence-related differentially expressed genes in IRI. We used machine learning methods, including logistic regression, LASSO regression for feature screening, and SVM analysis, to construct a model identifying 6 key genes (CDKN2B, TP53, ZNF277, ID1, STAT3, TERF2). Internal validation shows that the model has high diagnostic accuracy. Immune infiltration analysis revealed a significant increase in 20 immune cell subpopulations in IRI. Among these, CDKN2B showed a strong correlation with central memory CD4 + T cells. Furthermore, regulatory network analysis revealed that TP53 is a high-priority drug target; TERF2 is a hub gene regulated by transcription factors; and ID1 and STAT3 are hub genes regulated by miRNAs. Finally, we validated the differential expression of these 6 genes in a mouse IRI model by qRT-PCR and immunohistochemistry. Overall, this study established a novel diagnostic model containing 6 genes. This model provides new insights into the pathological mechanisms of IRI and offers new directions for improving the early diagnosis and targeted treatment of IRI.

Indexed as

BiomarkersCellular SenescenceReperfusion InjuryAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansInhibitor of Differentiation Protein 1MiceSTAT3 Transcription FactorTumor Suppressor Protein p53BiomarkersInhibitor of Differentiation Protein 1STAT3 Transcription FactorTumor Suppressor Protein p53BioinformaticsCellular senescenceDiagnostic modelImmune infiltrationIschemia–reperfusion injury

Identifiers

PMID41535570
PMCPMC12881650

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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.