Naslov
Epicardial adipose tissue thickness as predictor for adiponectin systemic blood concentration

Autori
Vrselja, Zvonimir ; Marić, Anđela ; Perić Kačarević, Željka ; Radić, Radivoje

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
Obesity Facts / Johannes Hebebrand - Ettlingen : Karger Publishers, 2013, 78-78

ISBN
978-3-318-02450-0

Skup
European Congress on Obesity (ECO2013)

Mjesto i datum
Liverpool, Ujedinjeno Kraljevstvo, 12.05.2013. - 14.05.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
epicardial adipose tissue; adiponectin; interleukin 6; tumor necrosis factor alpha

Sažetak
Aim: Epicardial adipose tissue (EAT) thickness is a risk marker of coronary artery disease (CAD), recently defined as an inflammatory disease. Adiponectin (ADIPOQ) is responsible for the modulation of atherosclerosis through its antiatherogenic effects while interleukin 6 (IL6) and tumor necrosis factor alpha (TNFa) are known proatherogenic cytokines. The aim of this study is to predict possible concentrations of ADIPOQ, IL6 and TNFa in the systemic circulation with EAT thickness. Methods: In this study 36 subjects were included, 16 CAD and 20 controls all of whom underwent cardiosurgery. Prior to cardiosurgery, EAT thickness was assessed by echocardiography. During cardiac surgery, blood samples were taken from the aortic root (AR). ADIPOQ, IL6 and TNFa concentrations were measured in the AR with ELISA kits. Results: EAT thickness positively correlated with IL6AR (r=0.396, p=0.02) and negatively correlated with ADIPOQAR (r=-0.628, p<0.001) concentration. EAT thickness did not show significant correlation with IL6 and TNFa concentrations in AR. MARS regression analysis showed that ADIPOQAR (R2=0.53) concentration can be predicted with an EAT thickness. EAT thickness was unable to predict IL6 and TNFa concentrations. Conclusion: EAT thickness negatively correlated with ADIPOQAR but did not correlate with IL6 and TNFa concentrations. Regression model of EAT thickness can be used, fairly accurately as predictor for adiponectin systemic concentration.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti

POVEZANOST RADA