Endocrinology & Metabolic Syndrome
Open Access

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

Joint Event on 11^th World Congress on Endocrinology and Metabolic Disorders and 2^nd International Conference on Thyroid & Pregnancy

September 03-04, 2018 Auckland, New Zealand

Neda Seyedsadjadi, Ross Grant, Jade Berg, Ayse A. Bilgin

University of New South Wales, Australia
Sydney Adventist Hospital, Australia
University of Sydney, Australia
Macquarie University, Australia

Scientific Tracks Abstracts: Endocrinol Metab Syndr

Abstract :

Uric acid (UA) has been suggested as a novel risk factor for diabetes. However, as it is also accompanied with other major risk factors such as obesity and high visceral adiposity, its definite role in this area is still the subject of discussion. Therefore, in this study we 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. In a cross-sectional study, 100 non-diabetic middle-aged males and females were recruited. Central fat distribution measures including android to gynoid fat ratio, VAT and Subcutaneous Adipose Tissue (SAT) fat mass were determined using Dualenergy X-ray Absorptiometry (DXA). Biochemical analysis was done using methods well established for clinical and research laboratories. Multiple linear regression analysis was performed to do statistical analysis. UA was positively associated with body mass index (BMI) (r(98)=0.42, Pâ?¤0.001), android to gynoid fat ratio (r(98)=0.62, Pâ?¤0.001) and VAT fat mass (r(96)=0.55, Pâ?¤0.001). UA was also positively associated with plasma glucose (r(98)=0.33, Pâ?¤0.001), HbA1c (r(93) =0.25, P=0.014), triglyceride (rs(95)=0.40, Pâ?¤0.001), HDL-cholesterol (r(98)=â??0.61, Pâ?¤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 f vat mass. No significant association was observed between UA and SAT fat mass (r(97)=0.02, Pâ?¥0.05), Total cholesterol (r(98)=0.03, Pâ?¥0.05), LDL-cholesterol (r(98)=0.13, Pâ?¥0.05), TNF-α (r(97)=0.12, Pâ?¥0.05) and IL-6 (r(96)=â??0.02, Pâ?¥0.05). Our results suggest, for the first time, that VAT fat mass plays a major role in linking plasma UA and glucose in a non-diabetic population.

Biography :

Neda Seyedsadjadi has her expertise in evaluation and passion in improving the health and wellbeing. She is a PhD student at University of New South Wales working on how lifestyle behaviors are associated with subclinical changes in biomarkers associated with non-Communicable Diseases (NCDs) such as diabetes. This will assist in on time and appropriate prevention of this prevalent disease.

E-mail: sadjadi.neda@gmail.com