scholarly journals The Shape of the Oral Glucose Tolerance Test-Glucose Response Curve in Islet Cell Antibody-Positive vs. -Negative Obese Youth Clinically Diagnosed with Type 2 Diabetes

Author(s):  
Joon Young Kim ◽  
Hala Tfayli ◽  
Fida Bacha ◽  
Silva Arslanian
Diabetes Care ◽  
2016 ◽  
Vol 39 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Joon Young Kim ◽  
Sara F. Michaliszyn ◽  
Alexis Nasr ◽  
SoJung Lee ◽  
Hala Tfayli ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1335-P
Author(s):  
JOON YOUNG KIM ◽  
HALA TFAYLI ◽  
FIDA BACHA ◽  
SARA MICHALISZYN ◽  
SILVA A. ARSLANIAN

2020 ◽  
Vol 23 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Christine Dalgård ◽  
Soren Möller ◽  
Kirsten O. Kyvik

AbstractType 2 diabetes, which is caused by both genetic and environmental factors, may be diagnosed using the oral glucose tolerance test (OGTT). Recent studies demonstrated specific patterns in glucose curves during OGTT associated with cardiometabolic risk profiles. As the relative contribution of genetic and environmental influences on glucose curve patterns is unknown, we aimed to investigate the heritability of these patterns. We studied twins from the Danish GEMINAKAR cohort aged 18–67 years and free from diabetes at baseline during 1997–2000; glucose concentrations were measured three times during a 2-h OGTT. Heterogeneity of the glucose response during OGTT was examined with latent class mixed-effects models, evaluating goodness of fit by Bayes information criterion. The genetic influence on curve patterns was estimated using quantitative genetic modeling based on linear structural equations. Overall, 1455 twins (41% monozygotic) had valid glucose concentrations measured from the OGTT, and four latent classes with different glucose response patterns were identified. Statistical modeling demonstrated genetic influence for belonging to a specific class or not, with heritability estimated to be between 45% and 67%. During ∼12 years of follow-up, the four classes were each associated with different incidence of type 2 diabetes. Hence, glucose response curve patterns associated with type 2 diabetes risk appear to be moderately to highly heritable.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Timea Tänczer ◽  
Márk M. Svébis ◽  
Beatrix Domján ◽  
Viktor J. Horváth ◽  
Adam G. Tabák

Objective. Monophasic glucose response (MGR) during an oral glucose tolerance test (OGTT) and gestational diabetes mellitus (GDM) are predictors of type 2 diabetes mellitus (T2DM). We investigated the association between current MGR and (1) glucose tolerance during a pregnancy 3 years before and (2) current glucose tolerance status. We also sought (3) other determinants of MGR. Research Design and Methods. We conducted a nested case-control study of GDM (n=47 early GDM, diagnosed between 16 and 20 weeks of gestation; n=40 late GDM, diagnosed between 24 and 28 weeks of gestation) and matched healthy controls (n=37, normal glucose tolerance during pregnancy) all free from diabetes at follow-up 3.4±0.6 years after delivery. Glucose tolerance was determined by 2-hour 75 g OGTT. Monophasic and biphasic groups were defined based on serum glucose measurements during OGTT. Results. The biphasic group was younger, had lower triglyceride levels and area under the OGTT glucose curve, and was less frequently diagnosed with early GDM (25 vs. 45%, all p<0.05). Women with a biphasic response also tended to have lower systolic blood pressure (p<0.1). No differences were found in fasting and 2-hour glucose and insulin levels, or BMI. According to multiple logistic regression, MGR was associated with prior early GDM (OR 2.14, 95% CI 0.92-4.99) and elevated triglyceride levels (OR 2.28, 95% CI 1.03-5.03/log (mmol/l)). Conclusions. We found that more severe, early-onset GDM was an independent predictor of monophasic glucose response suggesting that monophasic response may represent an intermediate state between GDM and manifest type 2 diabetes.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1331-P
Author(s):  
JOON YOUNG KIM ◽  
NOUR GEBARA ◽  
HALA TFAYLI ◽  
FIDA BACHA ◽  
SILVA A. ARSLANIAN

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