Literature DB >> 24418379

Impact of glucose fluctuation and monocyte subsets on coronary plaque rupture.

I Teraguchi1, T Imanishi2, Y Ozaki1, T Tanimoto1, M Orii1, Y Shiono1, K Shimamura1, K Ishibashi1, T Yamano1, Y Ino1, T Yamaguchi1, K Hirata1, T Kubo1, T Akasaka1.   

Abstract

BACKGROUND AND AIMS: It remains unclear whether glycemic fluctuation can affect plaque rupture in acute myocardial infarction (AMI). Here we investigate the impact of glucose fluctuation on plaque rupture, as observed by optical coherence tomography (OCT), and monocyte subsets in patients with AMI. METHODS AND
RESULTS: We studied 37 consecutive patients with AMI. All patients underwent OCT examination, which revealed 24 patients with plaque rupture and 13 patients without plaque rupture at the culprit site. Peripheral blood sampling was performed on admission. Three monocyte subsets (CD14(+)CD16(-), CD14(bright)CD16(+), and CD14(dim)CD16(+)) were assessed by flow cytometry. Glycemic variability, expressed as the mean amplitude of glycemic excursion (MAGE), was determined by a continuous glucose monitoring system 7 days after the onset of AMI. MAGE was significantly higher in the rupture patients than in the non-rupture patients (P=0.036). Levels of CD14(bright)CD16(+) monocytes from the rupture patients were significantly higher than those from the non-rupture patients (P=0.042). Of interest, levels of CD14(bright)CD16(+) monocytes correlated positively and significantly with MAGE (r=0.39, P=0.02).
CONCLUSION: Dynamic glucose fluctuation may be associated with coronary plaque rupture, possibly through the preferential increase in CD14(bright)CD16(+) monocyte levels.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute myocardial infarction; Coronary plaque rupture; Glucose fluctuation; Monocyte; Optical coherence tomography

Mesh:

Substances:

Year:  2013        PMID: 24418379     DOI: 10.1016/j.numecd.2013.08.010

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


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