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.

Details

Title
Sighting acute myocardial infarction through platelet gene expression
Author
Gobbi, Giuliana 1 ; Carubbi, Cecilia 1 ; Guidantonio Malagoli Tagliazucchi 2 ; Masselli, Elena 1 ; Prisco Mirandola 1 ; Pigazzani, Filippo 3   VIAFID ORCID Logo  ; Crocamo, Antonio 3 ; Notarangelo, Maria Francesca 3 ; Suma, Sergio 3 ; Paraboschi, Elvezia 4 ; Maglietta, Giuseppe 5 ; Nagalla, Srikanth 6 ; Pozzi, Giulia 1 ; Galli, Daniela 1 ; Vaccarezza, Mauro 7   VIAFID ORCID Logo  ; Fortina, Paolo 8   VIAFID ORCID Logo  ; Addya, Sankar 9 ; Ertel, Adam 9 ; Bray, Paul 10 ; Duga, Stefano 11   VIAFID ORCID Logo  ; Berzuini, Carlo 12   VIAFID ORCID Logo  ; Vitale, Marco 1 ; Ardissino, Diego 3 

 Department of Medicine and Surgery, University of Parma, Parma, Italy 
 Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Division of Research and Innovation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy 
 Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy 
 Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy 
 Division of Research and Innovation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy; Department of Statistics, Computer science, Applications, Univeristà di Firenze, Florence, Italy 
 Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA 
 School of Pharmacy and Biomedical Sciences, Faculty of Health Science, Curtin University, Perth, WA, Australia 
 Sidney Kimmel Cancer center, Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA; Department of Molecula Medicine, Sapienza University, Rome, Italy 
 Sidney Kimmel Cancer center, Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA 
10  Division of Hematology and Hematologic Malignancies, Department of Medicine, University of Utah, Salt Lake City, UT, USA 
11  Department of Biomedical Sciences, Humanitas University, Milan, Italy 
12  Center for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK 
Pages
1-8
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2329317609
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.