Association between volume and glucose metabolism of abdominal adipose tissue in healthy population. Issue 1 (September 2017)

• Record Type: Journal Article
• Authors: Kwon, Hyun Woo; Lee, Sang Mi; Lee, Jeong Won; Oh, Jung-Eun; Lee, Se-Whan; Kim, Shin Young
• Is Part Of: Obesity research & clinical practice. Volume 11:Issue 1(2017:Jan./Feb.)
• Page Start: 133
• Page End: 143
• Publication Date: 2017-09
• Subjects: Subcutaneous adipose tissue -- Visceral fat -- Glucose metabolism; Obesity -- Research -- Periodicals; Obesity -- Treatment -- Periodicals; Obesity -- Periodicals; Obésité -- Recherche -- Périodiques; Obésité -- Traitement -- Périodiques; Obesity -- Research; Obesity -- Treatment; Electronic journals; Periodicals; 616.398
• DOI: 10.1016/j.orcp.2016.12.007
• Languages: English
• ISSNs: 1871-403X

Abstract

Summary: Objective: We investigated the association of adipose tissue volume and metabolic activity with cardiometabolic risk factors. Methods: 232 healthy subjects (43.23 ± 4.09 y) having 18 F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) results were included. Clinical information, anthropometry and laboratory results were obtained. Volume and metabolic activity of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) was obtained from FDG PET/CT. Metabolic activity was presented as mean standardised uptake value (SUV). Adipose tissue parameters were compared with clinical and biochemical factors. Independent factors affecting adipose tissue volume were assessed. Results: Both SAT and VAT volume showed strong positive correlation with most of cardiometabolic risk factors. Among them, lipid profiles, insulin and C-reactive protein (CRP) had more significant relationship with SUV of SAT than that of VAT. On the contrary, glucose, glycated hemoglobin, and degree of fatty liver showed more significant correlation with SUV of VAT. BMI, age, sex and CRP were independent predictors of SAT volume. BMI, age, triglyceride, CRP and fatty liver were independent variables predicting VAT volume. Adding SUV of adipose tissue improved the model performance. Conclusion: This study demonstrated that metabolic activities of SAT and VAT were differently correlated with risk factors, suggesting different biologic mechanism for obesity.