Evidence map›Paper›PMID 41059137›Full record

ArticleFrontiers in genetics2025

Identification of platelet function-related genes in STEMI patients.

Jingjing Zhu, Shuangya Yang, Qing Guo, Yifan Yang, Bei Shi

Abstract read
In one paragraph

Article in Frontiers in genetics, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jingjing Zhu *Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Shuangya Yang *Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Qing GuoDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yifan YangDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Bei ShiDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ST-elevation myocardial infarction (STEMI) is characterized by extensive myocardial necrosis due to acute and severe ischemia, with platelets playing a key role in its pathogenesis. This study aimed to identify platelet function-related biomarkers in STEMI patients. Methods: The GSE59867 dataset, including STEMI patients and controls, was analyzed to identify differentially expressed genes (DEGs) using the limma R package. Platelet function-related DEGs (DEPRGs) were obtained by intersecting DEGs with platelet-related genes. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were performed, and a protein-protein interaction (PPI) network was constructed using STRING, followed by identification of hub genes via Cytohubba. The diagnostic value of these genes was evaluated through receiver operating characteristic (ROC) analysis, and further expression validation along with ROC validation was conducted in the GSE123342 dataset. Additionally, gene expression was validated by quantitative real-time polymerase chain reaction (RT-qPCR) in peripheral blood from STEMI patients and cardiac tissue from STEMI mouse models. Results: A total of 245 DEPRGs were identified; enrichment analyses revealed their primary involvement in hemostasis, coagulation, and platelet activation (adjusted Conclusion: This study identified two platelet function-related genes, MAPK3 and GRB2, as potential biomarkers for STEMI, demonstrating high clinical relevance and diagnostic value.

Indexed as

CVDdiagnosiskey geneplatelet-related genesSTEMI

Identifiers

PMID41059137
PMCPMC12497627

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