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.

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