Sighting acute myocardial infarction through platelet gene expression.
Giuliana GobbiCecilia CarubbiGuidantonio Malagoli TagliazucchiElena MasselliPrisco MirandolaFilippo PigazzaniAntonio CrocamoMaria Francesca NotarangeloSergio SumaElvezia ParaboschiGiuseppe MagliettaSrikanth NagallaGiulia PozziDaniela GalliMauro VaccarezzaPaolo M FortinaSankar AddyaAdam ErtelPaul BrayStefano DugaCarlo BerzuiniMarco VitaleDiego ArdissinoPublished in: Scientific reports (2019)
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.
Keyphrases
- gene expression
- acute myocardial infarction
- percutaneous coronary intervention
- genome wide
- genome wide identification
- st segment elevation myocardial infarction
- dna methylation
- coronary artery disease
- st elevation myocardial infarction
- copy number
- acute coronary syndrome
- transcription factor
- cardiovascular disease
- coronary artery
- genome wide analysis
- left ventricular
- pulmonary embolism
- end stage renal disease
- chronic kidney disease
- atrial fibrillation
- healthcare
- type diabetes
- induced apoptosis
- prognostic factors
- social media
- deep learning
- bioinformatics analysis
- big data
- aortic valve