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Characterization of Circulating Endothelial Cells in Acute Myocardial Infarction

Authors :
Eric J. Topol
Aparajita H. Chourasia
Kelly Bethel
Andrea Bacconi
Chandra Rao
Rod Serry
Ondrej Libiger
Samir Damani
Bridget Carragher
Peter Kuhn
Sharon Haaser
Sharen Knowlton
Raghava R. Gollapudi
Malcolm R. Wood
Ron Goldberg
John Jiang
Velia M. Fowler
Nicholas J. Schork
Mark Connelly
Kevin Rapeport
Sarah E. Topol
Source :
Science Translational Medicine. 4
Publication Year :
2012
Publisher :
American Association for the Advancement of Science (AAAS), 2012.

Abstract

Acute myocardial infarction (MI), which involves the rupture of existing atheromatous plaque, remains highly unpredictable despite recent advances in the diagnosis and treatment of coronary artery disease. Accordingly, a clinical measurement that can predict an impending MI is desperately needed. Here, we characterize circulating endothelial cells (CECs) using an automated and clinically feasible CEC three-channel fluorescence microscopy assay in 50 consecutive patients with ST-segment elevation MI and 44 consecutive healthy controls. CEC counts were significantly elevated in MI cases versus controls, with median numbers of 19 and 4 cells/ml, respectively (P = 1.1 × 10(-10)). A receiver-operating characteristic (ROC) curve analysis demonstrated an area under the ROC curve of 0.95, suggesting near-dichotomization of MI cases versus controls. We observed no correlation between CECs and typical markers of myocardial necrosis (ρ = 0.02, creatine kinase-myocardial band; ρ = -0.03, troponin). Morphological analysis of the microscopy images of CECs revealed a 2.5-fold increase (P < 0.0001) in cellular area and a twofold increase (P < 0.0001) in nuclear area of MI CECs versus healthy controls, age-matched CECs, as well as CECs obtained from patients with preexisting peripheral vascular disease. The distribution of CEC images that contained from 2 to 10 nuclei demonstrates that MI patients were the only subject group to contain more than 3 nuclei per image, indicating that multicellular and multinuclear clusters are specific for acute MI. These data indicate that CEC counts may serve as a promising clinical measure for the prediction of atherosclerotic plaque rupture events.

Details

ISSN :
19466242 and 19466234
Volume :
4
Database :
OpenAIRE
Journal :
Science Translational Medicine
Accession number :
edsair.doi.dedup.....7a190a01262255d2396b378104163762
Full Text :
https://doi.org/10.1126/scitranslmed.3003451