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Journal of Obesity
Volume 2019, Article ID 3139278, 11 pages
Research Article

Correlations between Traditional and Nontraditional Indicators of Adiposity, Inflammation, and Monocyte Subtypes in Patients with Stable Coronary Artery Disease

1Graduate Program in Health Sciences (Cardiology), Institute of Cardiology of Rio Grande do Sul/University Foundation of Cardiology (IC/FUC), Princesa Isabel Avenue, 395, Porto Alegre, Rio Grande do Sul 90040-371, Brazil
2Graduate Program in Nutrition Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Sarmento Leite Street, 245, Porto Alegre, Rio Grande do Sul 90050-170, Brazil
3Institute of Research,Coracao Hospital (HCor), Abílio Soares Street, 250, São Paulo, São Paulo 04004-05, Brazil

Correspondence should be addressed to Aline Marcadenti; moc.liamg@enila.itnedacram

Received 18 January 2019; Revised 30 May 2019; Accepted 10 June 2019; Published 3 July 2019

Academic Editor: Monica Nannipieri

Copyright © 2019 Silvia Bueno Garofallo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Recruitment of monocytes and low-grade inflammation process are both involved in obesity and in atherosclerosis. Thus, the aim of this study was to evaluate the correlation among indicators of adiposity, monocyte subtypes, and inflammatory markers in patients with stable coronary artery disease (CAD). Methods. This was a cross-sectional study including 97 patients with stable CAD aged >40 years. Traditional anthropometric indicators of adiposity (body mass index (BMI); waist, hip, and neck circumferences; and waist-hip ratio) and nontraditional anthropometric indicators of adiposity (lipid accumulation product index (LAP), visceral adiposity index (VAI), and deep-abdominal-adipose-tissue index (DAAT)) were determined. Immunoprecipitation, turbidimetry, coagulometric method, and CBA were used for the evaluation of inflammatory markers (hs-CRP, IL-2, IL-4, IL-6, IL-10, and INF-γ). Monocyte subtypes were identified by flow cytometry and defined as CD14++ CD16− (Mon1), CD14++ CD16+ (Mon2), and CD14+ CD16++ (Mon3). Pearson’s correlation coefficient and adjusted partial correlation were calculated. Results. Monocyte subtypes were correlated with inflammation regardless of nutritional status according to BMI. In overweight individuals, LAP was correlated with IL-4 and fibrinogen ( and , respectively) and VAI with IL-4 (). In obese patients, the BMI, waist, neck, and hip circumferences, and DAAT were correlated with IL-6 (), regardless of age and sex. The hip circumference was correlated positively with Mon1 (r = 0.40, ) and negatively with Mon3 (r = −0.35, ) in obese subjects. Conclusion. Monocyte subtypes are correlated with inflammation in patients with stable CAD independently of BMI, whereas traditional and nontraditional indicators of adiposity are correlated differently with inflammatory markers and monocytes, according to the nutritional status.