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Sighting acute myocardial infarction through platelet gene expression
Journal article   Open access   Peer reviewed

Sighting acute myocardial infarction through platelet gene expression

Giuliana Gobbi, Cecilia Carubbi, Guidantonio Malagoli Tagliazucchi, Elena Masselli, Prisco Mirandola, Filippo Pigazzani, Antonio Crocamo, Maria Francesca Notarangelo, Sergio Suma, Elvezia Paraboschi, …
Scientific reports, v 9(1), pp 19574-8
20 Dec 2019
PMID: 31863085
url
https://doi.org/10.1038/s41598-019-56047-0View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Adaptor Proteins, Vesicular Transport - genetics Adaptor Proteins, Vesicular Transport - metabolism Aged Aged, 80 and over Atherosclerosis - genetics Atherosclerosis - metabolism Blood Platelets - metabolism Calcium-Binding Proteins - genetics Calcium-Binding Proteins - metabolism Female Humans Lectins, C-Type - genetics Lectins, C-Type - metabolism Logistic Models Male Middle Aged Myocardial Infarction - genetics Neoplasm Proteins - genetics Neoplasm Proteins - metabolism Receptors, Immunologic - genetics Receptors, Immunologic - metabolism S100A12 Protein - genetics S100A12 Protein - metabolism Tacrolimus Binding Proteins - genetics Tacrolimus Binding Proteins - metabolism
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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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
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