Prof. Dr. Mihai Netea
Life & Medical Sciences Institute (LIMES)
mnetea@uni-bonn.de View member: Prof. Dr. Mihai Netea
International journal of cardiology
BACKGROUND: Traditional risk stratification modestly predicts adverse cardiovascular events in patients with coronary artery disease (CAD). Our aim was to investigate the association between monocyte subsets numbers and function, and the first major adverse cardiovascular event (MACE) in patients with symptomatic stable CAD and angiographically documented coronary atherosclerosis.
METHODS: Patients with stable CAD were screened for inclusion. Using flow cytometry, we identified classical, intermediate, and non-classical monocyte subsets and we assessed cytokine production capacity after ex-vivo stimulation of peripheral blood mononuclear cells. Clinical follow-up was performed after four years. The endpoint was the composite of cardiovascular death, acute myocardial infarction, and ischemic stroke.
RESULTS: A cohort of 229 patients was recruited. The percentage of intermediate monocytes was positively associated with adverse cardiovascular events at follow-up (HR 1.09; 95%CI 1.02-1.16; p = 0.006), while the percentage of classical monocytes was identified as a protective factor for adverse outcomes (HR 0.96; 95%CI 0.94-0.99; p = 0.02). The percentage of intermediate monocytes remained independently associated with outcomes after adjusting for age, systolic blood pressure, and left ventricular ejection fraction (HR 1.07; 95% CI 1.01-1.14; p = 0.04). Several correlations were identified between monocyte subsets and stimulated cytokine production, but cytokine production capacity was not associated with adverse outcomes.
CONCLUSIONS: In patients with stable CAD, intermediate monocytes were associated with MACE at follow-up. The association was not due to an increased cytokine production capacity. Novel biomarkers could improve risk stratification in patients with stable CAD and could represent new pharmacological targets against atherosclerosis progression.
Copyright © 2024 Elsevier B.V. All rights reserved.
PMID: 38218249
Life & Medical Sciences Institute (LIMES)
mnetea@uni-bonn.de View member: Prof. Dr. Mihai Netea