Evidence map›Paper›PMID 42640988›Full record

ArticlePloS one2026

Identification of candidate macrophage-ferroptosis crosstalk genes associated with immune infiltration in myocardial infarction: A bioinformatics analysis.

Guoqin Wang, Zhulin Zhang, Guanrui Yang, Jing Wang, Teng Ma, Shuang Guo

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Article in PloS one, 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guoqin WangDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0002-3474-5102
Zhulin ZhangDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.
Guanrui YangDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.
Jing WangDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.
Teng MaDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.
Shuang GuoDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, myocardial infarction (MI) remains a major cause of morbidity and mortality. Macrophage-mediated inflammation and ferroptosis-related stress responses have both been implicated in MI; however, transcriptomic identification of macrophage- and ferroptosis-related candidate genes requires rigorous control of false-positive findings. In this revised study, two peripheral blood transcriptomic datasets, GSE29532 and GSE48060, were integrated after probe annotation, independent normalization, merging based on common genes, and ComBat batch correction. Batch-correction quality was evaluated using both visualization and quantitative metrics. Differential expression analysis was performed using the limma package with adj.P.Val < 0.05 as the primary threshold. A total of 213 differentially expressed genes were identified, including 101 upregulated and 112 downregulated genes. Intersecting FDR-supported DEGs with macrophage-related and ferroptosis-related gene sets identified seven primary MFRDEGs: SMAD7, MMD, PTPN6, DDIT3, AKR1C3, PHF21A, and ACSL1. GO enrichment analysis was interpreted as exploratory functional annotation because of the small input gene set, whereas whole-ranked-gene GSEA highlighted TNFA/NF-kB inflammatory signaling, complement-related innate immune signaling, and reactive oxygen species-related transcriptional programs. Because the revised PPI analysis did not produce reliable interactions among the seven primary MFRDEGs, candidate gene prioritization was performed instead of defining interaction-derived hub genes. ssGSEA suggested a robust neutrophil-related alteration in MI, while macrophage- and monocyte-related signatures showed trend-level changes after FDR correction. Exploratory ROC analysis was performed for selected candidate genes. RT-qPCR validation further showed that SMAD7, PTPN6, DDIT3, PHF21A, and ACSL1 were increased, whereas MMD and AKR1C3 were decreased in AMI peripheral blood samples, consistent with the transcriptomic results. These findings provide FDR-supported candidate-level evidence linking macrophage- and ferroptosis-related transcriptional alterations to immune signatures in MI and warrant further validation in larger cohorts and mechanistic studies.

Indexed as

Computational BiologyFerroptosisMacrophagesMyocardial InfarctionGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansTranscriptome

Identifiers

PMID42640988
PMCPMC13505940

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