Evidence map›Paper›PMID 41550926›Full record

ArticleFrontiers in immunology2025

Identification of key genes related to metabolic cell death in hepatic ischemia-reperfusion injury from transcriptome data and mechanism research using single-cell data.

HongLi Yu, YingLi Cao, Jiebo Wang, Xianfeng Weng, Weituan Xu

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Article in Frontiers in immunology, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

HongLi YuDepartment of Anesthesiology, Tianjin First Center Hospital, Tianjin, China.
YingLi CaoDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Jiebo WangDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Xianfeng WengDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Weituan XuDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ferroptosis and cuproptosis are closely associated with hepatic ischemia-reperfusion injury (HIRI). However, the significance of metabolic cell death-related genes (MRGs) in HIRI still awaits exploration. This study examined the molecular mechanisms through which key genes contribute to metabolic cell death in HIRI. Methods: GSE12720, GSE14951, and GSE171539 datasets and 478 MRGs were included. First, candidate genes were screened through differential expression analysis combined with MRGs. Then, key genes were identified by using machine learning algorithms combined with expression verification. Subsequently, the analyses included constructing and evaluating nomograms, conducting functional enrichment studies, characterizing immune infiltration, building regulatory networks, performing drug prediction, and executing molecular docking. Importantly, single-cell analysis was conducted to identify key cell populations Finally, expression levels of key genes in animal samples were determined by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results: The analysis identified ATF3, TNFAIP3, IL1B, and KDM6B as central genes. The nomogram indicated that these four key genes could well predict the occurrence of HIRI. Functional enrichment analysis revealed significant associations of ATF3, TNFAIP3, and KDM6B with olfactory transduction pathways. The key genes were positively linked to most differential immune cells, and ATF3 had the most significant positive relation to activated CD4 T cells. The binding energies of molecular docking between key genes and corresponding drugs were all less than -5 kcal/mol. Mononuclear phagocytes were identified as key cells, and the expressions of ATF3, IL1B, and KDM6B had dynamic and non-linear change characteristics during the differentiation of mononuclear phagocytes. RT-qPCR results demonstrated that ATF3, TNFAIP3, IL1B, and KDM6B were up-regulated in HIRI samples, consistent with the results in the GSE12720 and GSE14951 datasets. Conclusion: In HIRI pathogenesis research, ATF3, TNFAIP3, IL1B and KDM6B were validated as core regulators of metabolic cell death, offering critical targets for mechanistic investigation.

Indexed as

LiverLiver DiseasesReperfusion InjuryTranscriptomeAnimalsCell DeathCuproptosisFerroptosisGene Expression ProfilingGene Regulatory NetworksHumansMolecular Docking SimulationSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor Necrosis Factor alpha-Induced Protein 3Tumor Necrosis Factor alpha-Induced Protein 3drug predictionhepatic ischemia-reperfusion injurykey genesmetabolic cell deathsingle-cell RNA sequencing

Identifiers

PMID41550926
PMCPMC12808398

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