Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers
Objective: The aim of the study was to determine the relationship of various thoracic fat depots with the presence and extent of coronary artery plaque and circulating biomarkers. Methods: In 342 patients (52 ± 11 years, 61% male, BMI 29.1 ± 5.9 kg/m2) with coronary computed tomography (CT), angiogr...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
9 May 2015
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| In: |
Obesity
Year: 2015, Jahrgang: 23, Heft: 6, Pages: 1178-1184 |
| ISSN: | 1930-739X |
| DOI: | 10.1002/oby.21080 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/oby.21080 Verlag, Volltext: http://onlinelibrary.wiley.com/doi/10.1002/oby.21080/abstract 
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| Verfasserangaben: | Pál Maurovich-Horvat, Kimberly Kallianos, Leif-Christopher Engel, Jackie Szymonifka, Christopher L. Schlett, Wolfgang Koenig, Udo Hoffmann, and Quynh A. Truong |
MARC
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| 245 | 1 | 0 | |a Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers |c Pál Maurovich-Horvat, Kimberly Kallianos, Leif-Christopher Engel, Jackie Szymonifka, Christopher L. Schlett, Wolfgang Koenig, Udo Hoffmann, and Quynh A. Truong |
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| 520 | |a Objective: The aim of the study was to determine the relationship of various thoracic fat depots with the presence and extent of coronary artery plaque and circulating biomarkers. Methods: In 342 patients (52 ± 11 years, 61% male, BMI 29.1 ± 5.9 kg/m2) with coronary computed tomography (CT), angiography, we measured the fat volume in four thoracic depots (pericoronary, epicardial, periaortic, extracardiac), assessed coronary plaque, and determined the circulating levels of C-reactive protein, tumor necrosis factor alpha, plasminogen activator inhibitor-1, monocyte chemoattractant protein-1, and adiponectin. The extent of coronary plaque was classified into three groups: 0, 1−3, and >3 segments. Results: Patients with plaque (n =169, 49%) had higher volumes of all four fat depots as compared to patients without plaque (all P < 0.01), despite similar BMI (P = 0.18). Extracardiac fat was most strongly correlated with BMI (r = 0.45, P < 0.001), while pericoronary fat was least (r = 0.21, P < 0.001). Only pericoronary fat remained associated with coronary plaque in adjusted analyses. Inflammatory biomarkers showed a positive correlation with pericoronary fat (all P < 0.0001), whereas adiponectin was not associated with this fat compartment (P = 0.60) and showed a negative correlation with all other fat depots (all P < 0.001). Conclusions: Pericoronary fat is independently associated with coronary artery disease (CAD). Its correlation with inflammatory biomarkers suggests that while systemic inflammation plays a role in the pathogenesis of CAD, there are additional local effects that may exist. | ||
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