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Published on: July 3, 2018
Characterization of circulating endothelial cells in acute myocardial infarction
Samir Damani1, Andrea Bacconi, Ondrej Libiger
1Scripps Translational Science Institute, La Jolla, CA 92037, USA.
Insights
Circulating endothelial cell (CEC) counts are significantly elevated in patients experiencing acute myocardial infarction (MI). Increased CEC cellular and nuclear size, along with multinuclear clusters, may predict atherosclerotic plaque rupture events.
Area of Science:
- Cardiovascular Medicine
- Biomarkers
- Cell Biology
Background:
- Acute myocardial infarction (MI) is unpredictable, necessitating new clinical measures for impending events.
- Atherosclerotic plaque rupture is the primary cause of MI.
- Current diagnostic tools for coronary artery disease lack predictive power for acute events.
Purpose of the Study:
- To investigate circulating endothelial cells (CECs) as a potential predictive biomarker for acute myocardial infarction (MI).
- To assess the diagnostic accuracy of CEC counts and morphology in distinguishing MI patients from healthy controls.
Main Methods:
- An automated, three-channel fluorescence microscopy assay was used to quantify CECs.
- CEC counts were compared between 50 MI patients and 44 healthy controls.
- Morphological analysis of CECs, including cellular and nuclear size and multinuclearity, was performed.
Main Results:
- CEC counts were significantly higher in MI patients (median 19 cells/ml) compared to controls (median 4 cells/ml) (P = 1.1 × 10(-10)).
- Receiver-operating characteristic (ROC) analysis showed an area under the curve of 0.95, indicating high diagnostic accuracy.
- MI patients exhibited significantly larger CECs and multinuclear CEC clusters, which were specific to this group.
Conclusions:
- Elevated CEC counts and specific morphological features, such as multinuclear clusters, show promise as a clinical measure for predicting atherosclerotic plaque rupture events.
- CEC analysis offers a novel, non-invasive approach to identify patients at high risk for acute MI.
- Further research is warranted to validate CECs as a routine clinical biomarker for MI prediction.
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.
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