Transcardiac gradient of soluble adhesion molecules predicts progression of coronary artery disease

Hiromitsu Yamamoto1, Shiro Uemura, Yoshio Tomoda

  • 1Department of Emergency and Critical Care Medicine, Nara Medical University, Shijo-cho 840, Kashihara, Nara, Japan.

Insights

The transcardiac gradient of soluble vascular cell adhesion molecule-1 (sVCAM-1) is linked to endothelial dysfunction and predicts coronary atherosclerosis progression in patients with coronary artery disease (CAD). This finding highlights sVCAM-1

Area of Science:

  • Cardiovascular Medicine
  • Immunology
  • Biochemistry

Background:

  • Cellular adhesion molecules (CAMs) are upregulated on vascular endothelium during atherosclerosis.
  • Soluble forms of CAMs (sCAMs) are proteolysed and detectable in circulation.
  • Understanding sCAMs' role in coronary artery disease (CAD) is crucial.

Purpose of the Study:

  • To investigate the relationship between the transcardiac gradient of soluble cellular adhesion molecules (sCAMs) and clinical characteristics of CAD.
  • To assess sCAMs' correlation with angiographic severity, endothelial function, and atherosclerosis progression.

Main Methods:

  • Studied 46 patients with stable CAD.
  • Measured serum sCAM levels in the aortic and coronary sinuses using ELISA.
  • Calculated transcardiac sCAM gradients and evaluated CAD severity, acetylcholine response, and 6-month atherosclerosis progression.

Main Results:

  • Transcardiac sCAM gradient did not correlate with angiographic CAD severity.
  • Elevated transcardiac sVCAM-1 gradient was associated with vasoconstrictive response to acetylcholine (Ach).
  • Higher initial transcardiac sVCAM-1 gradient predicted coronary atherosclerosis progression over 6 months.

Conclusions:

  • Elevated transcardiac sVCAM-1 gradient suggests persistent coronary artery activation and endothelial dysfunction.
  • Transcardiac sVCAM-1 gradient may serve as a predictive index for atherosclerosis progression.
  • Coronary circulating sVCAM-1 provides valuable functional and predictive insights into atherosclerosis.
Abstract

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