Literature DB >> 1837509

Minimal models of glucose disappearance: lessons from the labelled IVGTT.

A Caumo1, A Giacca, M Morgese, G Pozza, P Micossi, C Cobelli.   

Abstract

In this paper the domain of validity of the unlabelled and labelled minimal models of glucose disappearance is studied. Labelled intravenous glucose tolerance tests were performed in six normal subjects using 3-3H-glucose as the tracer. Insulin and unlabelled glucose data were analysed with the minimal model of glucose disappearance. The model provides estimates of glucose effectiveness (SG) and insulin sensitivity (SI) which measure the effects of glucose per se and insulin on both glucose production and disposal. Insulin and labelled glucose data were analysed with the labelled minimal model of tracer disappearance. Estimates of glucose effectiveness (SG*) and insulin sensitivity (SI*) which reflect disposal processes only were calculated. The results of the two minimal models suggest two areas of model error. Firstly, the relationships between labelled and unlabelled parameters contradict the theoretical expectation. Secondly, the time-course of hepatic glucose production is unrealistic. Possible sources of these inconsistencies are an inadequate description of the glucose and/or insulin effect upon hepatic glucose production, and the assumption that glucose kinetics are monocompartmental. The monocompartmental description of glucose kinetics may affect both model parameters and hepatic glucose production and this leads to a critical reexamination of the previously published validation studies in which the minimal model metabolic indices have been compared with the analogous indices measured during glucose clamp studies.

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Year:  1991        PMID: 1837509     DOI: 10.1111/j.1464-5491.1991.tb02120.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  8 in total

1.  Is the minimal model too minimal?

Authors:  A Caumo; P Vicini; C Cobelli
Journal:  Diabetologia       Date:  1996-08       Impact factor: 10.122

2.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

3.  Glucose effectiveness assessed under dynamic and steady state conditions. Comparability of uptake versus production components.

Authors:  M Ader; T C Ni; R N Bergman
Journal:  J Clin Invest       Date:  1997-03-15       Impact factor: 14.808

4.  Measurement of glucose metabolism and insulin secretion during normal pregnancy and pregnancy complicated by gestational diabetes.

Authors:  S B Bowes; T R Hennessy; A M Umpleby; J J Benn; N C Jackson; M A Boroujerdi; P H Sönksen; C Lowy
Journal:  Diabetologia       Date:  1996-08       Impact factor: 10.122

Review 5.  Measuring Insulin Resistance in Humans.

Authors:  Vandhna R Sharma; Samantha T Matta; Morey W Haymond; Stephanie T Chung
Journal:  Horm Res Paediatr       Date:  2021-04-30       Impact factor: 2.852

Review 6.  Selection of the appropriate method for the assessment of insulin resistance.

Authors:  Anwar Borai; Callum Livingstone; Ibrahim Kaddam; Gordon Ferns
Journal:  BMC Med Res Methodol       Date:  2011-11-23       Impact factor: 4.615

7.  A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

Authors:  Simona Panunzi; Pasquale Palumbo; Andrea De Gaetano
Journal:  Theor Biol Med Model       Date:  2007-09-12       Impact factor: 2.432

8.  A computational model of the human glucose-insulin regulatory system.

Authors:  Keh-Dong Shiang; Fouad Kandeel
Journal:  J Biomed Res       Date:  2010-09
  8 in total

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