ArticleScientific reports2019
Sighting acute myocardial infarction through platelet gene expression.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction.Bioengineered · 2021Pooled it
- Network-based analysis identifies shared mechanisms between ischemic stroke and myocardial infarction and therapeutic ingredients of Buyang Huanwu Decoction.Frontiers in genetics · 2026Article
- Myocardial Infarction Platelet Gene Expression Signatures in Women.JACC. Basic to translational science · 2025Article
- The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data.BioData mining · 2024Article
- Comprehensive bioinformatics analytics andAging · 2024Article
- CYP2C19 Poor Metabolizer Status and High System Inflammation Response Index are Independent Risk Factors for Premature Myocardial Infarction: A Hospital-Based Retrospective Study.International journal of general medicine · 2024Article
- Changes in the Proteome of Platelets from Patients with Critical Progression of COVID-19.Cells · 2023Article
- Single-cell analysis of platelets from patients with periodontitis and diabetes.Research and practice in thrombosis and haemostasis · 2023Article
- Article
- Machine learning approach combined with causal relationship inferring unlocks the shared pathomechanism between COVID-19 and acute myocardial infarction.Frontiers in microbiology · 2023Article
- From multi-omics approaches to personalized medicine in myocardial infarction.Frontiers in cardiovascular medicine · 2023Review
- Integrated whole-genome gene expression analysis reveals an atlas of dynamic immune landscapes after myocardial infarction.Frontiers in cardiovascular medicine · 2023Article
- The Variation of Transcriptomic Perturbations is Associated with the Development and Progression of Various Diseases.Disease markers · 2022Article
- Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients.Computational and mathematical methods in medicine · 2022Article
- Identification of Five Hub Genes Based on Single-Cell RNA Sequencing Data and Network Pharmacology in Patients With Acute Myocardial Infarction.Frontiers in public health · 2022Article
- Inflammation and Oxidative Stress Role of S100A12 as a Potential Diagnostic and Therapeutic Biomarker in Acute Myocardial Infarction.Oxidative medicine and cellular longevity · 2022Article
- Identification of potential biomarkers and immune cell infiltration in acute myocardial infarction (AMI) using bioinformatics strategy.Bioengineered · 2021Article
- Crosstalk between Venous Thromboembolism and Periodontal Diseases: A Bioinformatics Analysis.Disease markers · 2021Article
- Combined Therapy with Traditional Chinese Medicine and Antiplatelet Drugs for Ischemic Heart Disease: Mechanism, Efficacy, and Safety.Evidence-based complementary and alternative medicine : eCAM · 2021Review
- Molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC.BMC genomics · 2020Article
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Authors and funding
23 authors at 8 institutions in 4 countries.
Funding
Abstract
Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression profiling at the time of an acute myocardial infarction provides information concerning the platelet gene expression preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet gene expression identified five differentially expressed genes: FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the gene expression in a STEMI vs healthy donors score showed an AUC of 0.95. The same five differentially expressed genes were externally validated using platelet gene expression data from patients with coronary atherosclerosis but without thrombosis. Platelet gene expression profile highlights five genes able to identify STEMI patients and to discriminate them in the background of atherosclerosis. Consequently, early signals of an imminent acute myocardial infarction are likely to be found by platelet gene expression profiling before the infarction occurs.
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