Literature DB >> 19097663

Classical and model-based estimates of beta-cell function during a mixed meal vs. an OGTT in a population-based cohort.

Josina M Rijkelijkhuizen1, Cynthia J Girman, Andrea Mari, Marjan Alssema, Thomas Rhodes, Giel Nijpels, Piet J Kostense, Peter P Stein, Elisabeth M Eekhoff, Robert J Heine, Jacqueline M Dekker.   

Abstract

This study compared classical and model-based beta-cell responses during an oral glucose tolerance test (OGTT) and a meal tolerance test (MTT) in a population-based cohort. Individuals with normal glucose metabolism (NGM, n=161), impaired glucose metabolism (IGM, n=19) and type 2 diabetes mellitus (DM, n=20) underwent a 75 g-OGTT and an MTT (75 g carbohydrates, 50 g fat, 24 g proteins). Classical estimates of beta-cell function (insulinogenic index and the ratio of areas under insulin and glucose curves) were calculated. Mathematical modelling was used to determine beta-cell glucose sensitivity, rate sensitivity and potentiation. Insulin sensitivity was characterized by three surrogate estimates. Both classical and model-based estimates of beta-cell function were higher during MTT than during OGTT (P<0.05). Regarding the model-based parameters, especially beta-cell sensitivity was increased following MTT as compared with OGTT (P<0.05). Both during OGTT and MTT, across most parameters describing beta-cell function, the largest reduction in beta-cell response occurred between IGM and DM, while the largest reduction in insulin sensitivity occurred between NGM and IGM. We conclude that beta-cell response is stronger after a mixed meal than after an OGTT with equal carbohydrate quantity, both for classical and model-based parameters. The higher response was mostly explained by higher beta-cell sensitivity during the meal.

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Year:  2008        PMID: 19097663     DOI: 10.1016/j.diabres.2008.11.017

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  21 in total

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2.  Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk.

Authors:  Adam Hulman; Rebecca K Simmons; Dorte Vistisen; Adam G Tabák; Jacqueline M Dekker; Marjan Alssema; Femke Rutters; Anitra D M Koopman; Thomas P J Solomon; John P Kirwan; Torben Hansen; Anna Jonsson; Anette Prior Gjesing; Hans Eiberg; Arne Astrup; Oluf Pedersen; Thorkild I A Sørensen; Daniel R Witte; Kristine Færch
Journal:  Endocrine       Date:  2016-10-03       Impact factor: 3.633

3.  Fatty acid intake and its dietary sources in relation with markers of type 2 diabetes risk: The NEO study.

Authors:  A J Wanders; M Alssema; E J P de Koning; S le Cessie; J H de Vries; P L Zock; F R Rosendaal; M den Heijer; R de Mutsert
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Review 4.  Review of methods for measuring β-cell function: Design considerations from the Restoring Insulin Secretion (RISE) Consortium.

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Journal:  Diabetes Obes Metab       Date:  2017-06-22       Impact factor: 6.577

5.  Indices of insulin secretion during a liquid mixed-meal test in obese youth with diabetes.

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Journal:  J Pediatr       Date:  2013-01-03       Impact factor: 4.406

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Review 7.  Methods for Measuring Risk for Type 2 Diabetes in Youth: the Oral Glucose Tolerance Test (OGTT).

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Journal:  Curr Diab Rep       Date:  2018-06-16       Impact factor: 4.810

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9.  Glucose Homeostasis and Energy Balance in Children With Pseudohypoparathyroidism.

Authors:  Katia M Perez; Kathleen L Curley; James C Slaughter; Ashley H Shoemaker
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10.  Postprandial glucose improves the risk prediction of cardiovascular death beyond the metabolic syndrome in the nondiabetic population.

Authors:  Hung-Ju Lin; Bai-Chin Lee; Yi-Lwun Ho; Yen-Hung Lin; Ching-Yi Chen; Hsiu-Ching Hsu; Mao-Shin Lin; Kuo-Liong Chien; Ming-Fong Chen
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 19.112

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