Table of Contents
ISRN Endocrinology
Volume 2013 (2013), Article ID 873507, 6 pages
Research Article

Paradoxically Low Levels of Total and HMW Adiponectin in Relation to Metabolic Parameters in a Tongan Population

1Renal Laboratory, Department of Medicine, University of New South Wales, Randwick, NSW 2031, Australia
2Institute of Obesity, Nutrition and Exercise, Sydney University, Darlington, NSW 2006, Australia
3Garvan Institute of Medical Research, Sydney University, Darlinghurst, NSW 2010, Australia
4Royal North Shore Hospital, Sydney University, St Leonards, NSW 2065, Australia

Received 3 June 2013; Accepted 23 June 2013

Academic Editors: F. Escobar-Jimenez, E. Hajduch, S. M. Hileman, and J. A. Rillema

Copyright © 2013 Philip Peake et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Aim. Adiponectin has demonstrated anti-inflammatory and insulin sensitising properties, and low circulating levels may be an important risk factor for diabetes. We examined levels of adiponectin and its insulin-sensitising HMW isoform and their relationship with metabolic parameters in Tongans, a population prone to type II diabetes. Methods. Adiponectin and its HMW isoform were quantitated by Elisa in specimens from a randomly recruited, multistage cluster population survey of Tongans and from a group of Caucasians. Anthropometric, clinical, and biochemical data were collected on each subject. Results. Both male and female Tongans had lower levels of total and HMW adiponectin than their Caucasian counterparts. Levels of total and HMW adiponectin were higher in females than males in each group. Adiponectin levels were inversely related to BMI, weight, and HOMA in Tongan males and females, as well as to dyslipidemia in both sexes. Conclusion. Tongans had lower levels of both total and HMW adiponectin than Caucasians population, even after matching Tongans to their Caucasian counterparts based on BMI, age, and sex. These findings may reflect differences in body composition between the populations not adequately assessed by BMI, lifestyle factors, or a genetic variant likely in a genetically homogenous population.