Literature DB >> 17393338

A mathematical model of the oral glucose tolerance test illustrating the effects of the incretins.

Patricia L Brubaker1, Elan L Ohayon, Lisa M D'Alessandro, Kenneth H Norwich.   

Abstract

Despite important empirical findings, current models of the oral glucose tolerance test (OGTT) do not incorporate the essential contributions of the incretin hormones, glucagon-like peptide-1 and glucose-dependent insulinotropic peptide, to glucose-stimulated insulin secretion. In order to address this deficiency, a model was, therefore, developed in which the incretins, as well as a term reflecting net hepatic glucose balance, were included. Equations modeling the changes in incretins, hepatic glucose balance, insulin and glucose were used to simulate the responses to 50 and 100 g oral glucose loads under normal conditions. The model successfully captures main trends in mean data from the literature using a simple 'lumped-parameter,' single-compartment approach in which the majority of the parameters were matched to known clinical data. The accuracy of the model and its applicability to understanding fundamental mechanisms was further assessed using a variety of glycemic and insulinemic challenges beyond those which the model was originally created to encompass, including hyper- and hypoinsulinemia, changes in insulin sensitivity, and the insulin infusion-modified intravenous glucose tolerance test.

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Year:  2007        PMID: 17393338     DOI: 10.1007/s10439-007-9274-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  15 in total

1.  Altered pattern of the incretin effect as assessed by modelling in individuals with glucose tolerance ranging from normal to diabetic.

Authors:  Andrea Tura; Elza Muscelli; Amalia Gastaldelli; Ele Ferrannini; Andrea Mari
Journal:  Diabetologia       Date:  2014-06       Impact factor: 10.122

Review 2.  Requirements for multi-level systems pharmacology models to reach end-usage: the case of type 2 diabetes.

Authors:  Elin Nyman; Yvonne J W Rozendaal; Gabriel Helmlinger; Bengt Hamrén; Maria C Kjellsson; Peter Strålfors; Natal A W van Riel; Peter Gennemark; Gunnar Cedersund
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

3.  Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test.

Authors:  Jonas B Møller; Rune V Overgaard; Henrik Madsen; Torben Hansen; Oluf Pedersen; Steen H Ingwersen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-12-16       Impact factor: 2.745

4.  Routine OGTT: a robust model including incretin effect for precise identification of insulin sensitivity and secretion in a single individual.

Authors:  Andrea De Gaetano; Simona Panunzi; Alice Matone; Adeline Samson; Jana Vrbikova; Bela Bendlova; Giovanni Pacini
Journal:  PLoS One       Date:  2013-08-29       Impact factor: 3.240

5.  Simulation of oral glucose tolerance tests and the corresponding isoglycemic intravenous glucose infusion studies for calculation of the incretin effect.

Authors:  Myeungseon Kim; Tae Jung Oh; Jung Chan Lee; Karam Choi; Min Young Kim; Hee Chan Kim; Young Min Cho; Sungwan Kim
Journal:  J Korean Med Sci       Date:  2014-02-27       Impact factor: 2.153

6.  Application of the Oral Minimal Model to Korean Subjects with Normal Glucose Tolerance and Type 2 Diabetes Mellitus.

Authors:  Min Hyuk Lim; Tae Jung Oh; Karam Choi; Jung Chan Lee; Young Min Cho; Sungwan Kim
Journal:  Diabetes Metab J       Date:  2016-06-02       Impact factor: 5.376

7.  A system model of the effects of exercise on plasma Interleukin-6 dynamics in healthy individuals: Role of skeletal muscle and adipose tissue.

Authors:  Micaela Morettini; Maria Concetta Palumbo; Massimo Sacchetti; Filippo Castiglione; Claudia Mazzà
Journal:  PLoS One       Date:  2017-07-12       Impact factor: 3.240

8.  A closed-loop multi-level model of glucose homeostasis.

Authors:  Cansu Uluseker; Giulia Simoni; Luca Marchetti; Marco Dauriz; Alice Matone; Corrado Priami
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

9.  Postprandial glucose-lowering effect of premeal consumption of protein-enriched, dietary fiber-fortified bar in individuals with type 2 diabetes mellitus or normal glucose tolerance.

Authors:  Jae Hyun Bae; Lee Kyung Kim; Se Hee Min; Chang Ho Ahn; Young Min Cho
Journal:  J Diabetes Investig       Date:  2018-03-30       Impact factor: 4.232

10.  Bariatric surgery and T2DM improvement mechanisms: a mathematical model.

Authors:  Puntip Toghaw; Alice Matone; Yongwimon Lenbury; Andrea De Gaetano
Journal:  Theor Biol Med Model       Date:  2012-05-15       Impact factor: 2.432

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