Atherosclerotic Biomarkers and Aortic Atherosclerosis by Cardiovascular Magnetic Resonance Imaging in the Framingham Heart Study

Author:

Hong Susie N.1,Gona Philimon23,Fontes Joao D.3,Oyama Noriko1,Chan Raymond H.1,Kenchaiah Satish43,Tsao Connie W.13,Yeon Susan B.1,Schnabel Renate B.3,Keaney John F.5,O'Donnell Christopher J.63,Benjamin Emelia J.473,Manning Warren J.18

Affiliation:

1. Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA

2. Division of Biostatistics and Health Services Research, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA

3. National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA

4. Cardiology and Preventive Medicine Sections, Department of Medicine, Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA

5. Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA

6. Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA

7. Department of Epidemiology, Boston University School of Public Health, Boston, MA

8. Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA

Abstract

Background The relations between subclinical atherosclerosis and inflammatory biomarkers have generated intense interest but their significance remains unclear. We sought to determine the association between a panel of biomarkers and subclinical aortic atherosclerosis in a community‐based cohort. Methods and Results We evaluated 1547 participants of the Framingham Heart Study Offspring cohort who attended the 7th examination cycle and underwent both cardiovascular magnetic resonance imaging ( CMR ) and assays for 10 biomarkers associated with atherosclerosis: high‐sensitivity C‐reactive protein, fibrinogen, intercellular adhesion molecule‐1, interleukin‐6, interleukin‐18, lipoprotein‐associated phospholipase‐A2 activity and mass, monocyte chemoattractant protein‐1, P‐selectin, and tumor necrosis factor receptor‐2. In logistic regression analysis, we found no significant association between the biomarker panel and the presence of aortic plaque (global P =0.53). Using Tobit regression with aortic plaque as a continuous variable, we noted a modest association between biomarker panel and aortic plaque volume in age‐ and sex‐adjusted analyses ( P =0.003). However, this association was attenuated after further adjustment for clinical covariates ( P =0.09). Conclusions In our community‐based cohort, we found no significant association between our multibiomarker panel and aortic plaque. Our results underscore the strengths and limitations of the use of biomarkers for the identification of subclinical atherosclerosis and the importance of traditional risk factors.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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