OBJECTIVE: This study assessed whether serum adiponectin could be used as a biochemical marker to differentiate type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM) among young Asian Indians. RESEARCH DESIGN AND METHODS: We recruited age- and sex-matched individuals with physician-diagnosed T1DM (n=70) and T2DM (n=72). All were 12-27 years of age with a duration of diabetes of >2 years, at a large tertiary-care diabetes center in Chennai, southern India. Age- and sex-matched individuals with normal glucose tolerance (NGT) (n=68) were selected from an ongoing population study. NGT was defined using World Health Organization criteria. Serum total adiponectin was measured by enzyme-linked immunosorbent assay. Receiver operating characteristic (ROC) curves were used to identify adiponectin cut points for discriminating T1DM from T2DM. RESULTS: Adiponectin levels were higher in T1DM and lower in T2DM compared with the NGT group (9.89, 3.88, and 6.84 μg/mL, respectively; P<0.001). In standardized polytomous regression models, adiponectin was associated with T1DM (odds ratio [OR]=1.131 per SD; 95% confidence interval [CI], 1.025-1.249) and T2DM (OR=0.628 per SD; 95% CI, 0.504-0.721) controlled for age, gender, waist circumference, body mass index, hypertension, glycated hemoglobin, total cholesterol, serum triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, family history of T2DM, and estimated glomerular filtration rate. Using ROC analysis, an adiponectin cut point of 5.1 μg/mL had a C statistic of 0.886 (95% CI, 0.836-0.953), sensitivity of 80.6%, and specificity of 80.6% to differentiate T1DM from T2DM. Using the 5.1 μg/mL cut point, 80.6% of T1DM and 81.8% of T2DM would be correctly classified. CONCLUSIONS: Serum adiponectin is a useful biochemical marker for differentiating T1DM and T2DM among young Asian Indians.
OBJECTIVE: This study assessed whether serum adiponectin could be used as a biochemical marker to differentiate type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM) among young Asian Indians. RESEARCH DESIGN AND METHODS: We recruited age- and sex-matched individuals with physician-diagnosed T1DM (n=70) and T2DM (n=72). All were 12-27 years of age with a duration of diabetes of >2 years, at a large tertiary-care diabetes center in Chennai, southern India. Age- and sex-matched individuals with normal glucose tolerance (NGT) (n=68) were selected from an ongoing population study. NGT was defined using World Health Organization criteria. Serum total adiponectin was measured by enzyme-linked immunosorbent assay. Receiver operating characteristic (ROC) curves were used to identify adiponectin cut points for discriminating T1DM from T2DM. RESULTS:Adiponectin levels were higher in T1DM and lower in T2DM compared with the NGT group (9.89, 3.88, and 6.84 μg/mL, respectively; P<0.001). In standardized polytomous regression models, adiponectin was associated with T1DM (odds ratio [OR]=1.131 per SD; 95% confidence interval [CI], 1.025-1.249) and T2DM (OR=0.628 per SD; 95% CI, 0.504-0.721) controlled for age, gender, waist circumference, body mass index, hypertension, glycated hemoglobin, total cholesterol, serum triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, family history of T2DM, and estimated glomerular filtration rate. Using ROC analysis, an adiponectin cut point of 5.1 μg/mL had a C statistic of 0.886 (95% CI, 0.836-0.953), sensitivity of 80.6%, and specificity of 80.6% to differentiate T1DM from T2DM. Using the 5.1 μg/mL cut point, 80.6% of T1DM and 81.8% of T2DM would be correctly classified. CONCLUSIONS: Serum adiponectin is a useful biochemical marker for differentiating T1DM and T2DM among young Asian Indians.
Authors: Lin Yang; Shuoming Luo; Gan Huang; Jian Peng; Xia Li; Xiang Yan; Jian Lin; Janet M Wenzlau; Howard W Davidson; John C Hutton; Zhiguang Zhou Journal: Diabetes Metab Res Rev Date: 2010-10 Impact factor: 4.876
Authors: C F Verge; R Gianani; E Kawasaki; L Yu; M Pietropaolo; R A Jackson; H P Chase; G S Eisenbarth Journal: Diabetes Date: 1996-07 Impact factor: 9.461
Authors: Ayanthi A Richards; Tim Stephens; Hayley K Charlton; Alun Jones; Graeme A Macdonald; Johannes B Prins; Jonathan P Whitehead Journal: Mol Endocrinol Date: 2006-02-23