Prognostic Value of Human Peripheral Monocyte Subsets for Future Coronary Events in Patients Without Significant

Manabu Kashiwagi1, Toshio Imanishi2, Yuichi Ozaki1

  • 1Department of Cardiovascular Medicine, Wakayama Medical University.

Insights

Increased pro-inflammatory monocytes (CD14+CD16+) in human peripheral blood predict future coronary events. This finding highlights their role in coronary artery disease development and progression.

Area of Science:

  • Immunology
  • Cardiology
  • Hematology

Background:

  • Human peripheral blood monocytes are heterogeneous, classified as inflammatory (CD14+CD16-) and pro-inflammatory (CD14+CD16+) based on CD14 and CD16 expression.
  • Pro-inflammatory monocytes are implicated in the pathogenesis of coronary artery disease.

Purpose of the Study:

  • To investigate the association between specific human peripheral monocyte subsets and the occurrence of future coronary events.
  • To determine if monocyte subset frequencies predict future cardiovascular events in patients with suspected coronary artery disease.

Main Methods:

  • Enrolled 271 patients undergoing coronary angiography for suspected stable angina or silent myocardial ischemia.
  • Quantified CD14+CD16- and CD14+CD16+ monocyte subsets using flow cytometry.
  • Followed a medical therapy group (n=136) for future coronary events after initial coronary angiography.

Main Results:

  • The frequency of CD14+CD16+ monocytes was significantly higher in patients who experienced future coronary events compared to those who did not (P<0.01).
  • No significant difference in CD14+CD16+ monocyte frequencies was observed between patients with future events and those who underwent revascularization.
  • Multivariate analysis identified CD14+CD16+ monocyte frequency as an independent predictor of future coronary events (P<0.01).

Conclusions:

  • Elevated levels of human peripheral pro-inflammatory monocytes (CD14+CD16+) are associated with an increased risk of future coronary events.
  • This subset of monocytes may serve as a valuable biomarker for predicting cardiovascular events.
Abstract

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