An extracellular vesicle epitope profile is associated with acute myocardial infarction.
Acute Coronary Syndrome
/ blood
Aged
Angina, Stable
/ blood
Biomarkers
/ blood
CD40 Antigens
/ blood
Cohort Studies
Epitope Mapping
Epitopes
/ blood
Extracellular Vesicles
/ genetics
Female
Humans
Integrin alpha2
/ blood
Male
Middle Aged
P-Selectin
/ blood
Percutaneous Coronary Intervention
Platelet Endothelial Cell Adhesion Molecule-1
/ blood
Platelet Glycoprotein GPIb-IX Complex
/ genetics
ST Elevation Myocardial Infarction
/ blood
ST-segment elevation myocardial infarction
acute myocardial infarction
biomarker
coronary artery disease
extracellular vesicles
machine learning
Journal
Journal of cellular and molecular medicine
ISSN: 1582-4934
Titre abrégé: J Cell Mol Med
Pays: England
ID NLM: 101083777
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
25
04
2020
revised:
27
05
2020
accepted:
16
06
2020
pubmed:
16
7
2020
medline:
14
9
2021
entrez:
16
7
2020
Statut:
ppublish
Résumé
The current standard biomarker for myocardial infarction (MI) is high-sensitive troponin. Although powerful in clinical setting, search for new markers is warranted as early diagnosis of MI is associated with improved outcomes. Extracellular vesicles (EVs) attracted considerable interest as new blood biomarkers. A training cohort used for diagnostic modelling included 30 patients with STEMI, 38 with stable angina (SA) and 30 matched-controls. Extracellular vesicle concentration was assessed by nanoparticle tracking analysis. Extracellular vesicle surface-epitopes were measured by flow cytometry. Diagnostic models were developed using machine learning algorithms and validated on an independent cohort of 80 patients. Serum EV concentration from STEMI patients was increased as compared to controls and SA. EV levels of CD62P, CD42a, CD41b, CD31 and CD40 increased in STEMI, and to a lesser extent in SA patients. An aggregate marker including EV concentration and CD62P/CD42a levels achieved non-inferiority to troponin, discriminating STEMI from controls (AUC = 0.969). A random forest model based on EV biomarkers discriminated the two groups with 100% accuracy. EV markers and RF model confirmed high diagnostic performance at validation. In conclusion, patients with acute MI or SA exhibit characteristic EV biomarker profiles. EV biomarkers hold great potential as early markers for the management of patients with MI.
Identifiants
pubmed: 32666618
doi: 10.1111/jcmm.15594
pmc: PMC7520329
doi:
Substances chimiques
Biomarkers
0
CD40 Antigens
0
Epitopes
0
ITGA2B protein, human
0
Integrin alpha2
0
P-Selectin
0
Platelet Endothelial Cell Adhesion Molecule-1
0
Platelet Glycoprotein GPIb-IX Complex
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
9945-9957Subventions
Organisme : Swiss National Science Foundation
ID : #169194
Pays : Switzerland
Informations de copyright
© 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.
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