Visceral fat mass: is it the link between uric acid and diabetes risk?

Lipids in Health and Disease

Research

Jade Berg¹  Ayse A. Bilgin²  Neda Seyed-Sadjadi³  Ross Grant⁴ 

[1] Australasian Research Institute, Sydney Adventist Hospital, 185 Fox Valley Road, Wahroonga, 2076, Sydney, NSW, Australia;Department of Statistics, Macquarie University, Sydney, NSW, Australia;School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia;School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia;Australasian Research Institute, Sydney Adventist Hospital, 185 Fox Valley Road, Wahroonga, 2076, Sydney, NSW, Australia;Sydney Adventist Hospital Clinical School, University of Sydney, Sydney, NSW, Australia;

关键词: Diabetes;    Uric acid;    Glucose;    HbA1c;    Triglyceride;    Inflammation;    BMI;    Android fat;    Gynoid fat;    Visceral fat mass;   

DOI  :  10.1186/s12944-017-0532-4

 received in 2017-05-09, accepted in 2017-07-03,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundUric acid (UA) has been suggested as a novel risk factor for diabetes. However, its definite role in this prevalent disease is still the subject of much discussion because it is always accompanied with other major risk factors such as obesity and high visceral adiposity. In order to clarify the role of UA in diabetes, this study aimed to investigate the associations between plasma UA and fasting plasma glucose, HbA1c, lipid profile and inflammatory markers after accounting for the contribution of other diabetes risk factors such as BMI and VAT fat mass.MethodsIn the present cross-sectional study, 100 non-diabetic middle-aged males (n = 48) and females (n = 52) were recruited. Central fat distribution measures including android to gynoid fat ratio, VAT and subcutaneous adipose tissue (SAT) fat mass were determined using dual-energy X-ray absorptiometry (DXA). Biochemical analysis was done using methods well established for clinical and research laboratories. Multiple linear regression analysis was performed to analyse the association between plasma UA and the biochemical and central fat distribution measures.ResultsUA was positivly associated with body mass index (BMI) (r (98) = 0.42, P ≤ 0.001), android to gynoid fat ratio (r (98) = 0.62, P ≤ 0.001) and VAT fat mass (r (96) = 0.55, P ≤ 0.001). UA was also positively associated with plasma glucose (r (98) = 0.33, P ≤ 0.001), hemoglobin A1c (r (93) = 0.25, P = 0.014), plasma triglyceride (rs (95) = 0.40, P ≤ 0.001), HDL cholesterol (r (98) = − 0.61, P ≤ 0.001) and CRP (rs (98) = 0.23, P = 0.026). However, these associations were no longer significant after accounting for BMI or/and VAT fat mass. No significant association was observed between UA and SAT fat mass (r (97) = 0.02, P ≥ 0.05), Total cholesterol (r (98) = 0.03, P ≥ 0.05), LDL cholesterol (r (98) = 0.13, P ≥ 0.05), TNF-α (r (97) = 0.12, P ≥ 0.05) and IL-6 (r (96) = −0.02, P ≥ 0.05).ConclusionResults from this study suggest, for the first time, that the association between plasma UA and glucose in a non-diabetic population is not direct but rather dependent on VAT fat mass.

【 授权许可】

CC BY   
© The Author(s). 2017