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Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health

Authors :
Burattini, Roberto
Morettini, Micaela
Source :
Computer Methods & Programs in Biomedicine. Aug2012, Vol. 107 Issue 2, p248-261. 14p.
Publication Year :
2012

Abstract

Two new formulations, respectively denominated INT_M1 and INT_M2, of an integrated mathematical model to describe the glycemic and insulinemic responses to a 75g oral glucose tolerance test (OGTT) are proposed and compared. The INT_M1 assumes a single compartment for the intestine and the derivative of a power exponential function for the gastric emptying rate, while, in the INT_M2, a nonlinear three-compartment system model is adopted to produce a more realistic, multiphase gastric emptying rate. Both models were implemented in a Matlab-based, two-step procedure for estimation of seven adjustable coefficients characterizing the gastric emptying rate and the incretin, insulin and glucose kinetics. Model behaviour was tested vs. mean plasma glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), glucose and insulin measurements from two different laboratories, where glycemic profiles observed during a 75g OGTT were matched in healthy subjects (HC1- and HC2-group, respectively) by means of an isoglycemic intravenous glucose (I-IVG) infusion. Under the hypothesis of an additive effect of GLP-1 and GIP on insulin potentiation, our results demonstrated a substantial equivalence of the two models in matching the data. Model parameter estimates showed to be suitable markers of differences observed in the OGTT and matched I-IVG responses from the HC1-group compared to the HC2-group. Model implementation in our two-step parameter estimation procedure enhances the possibility of a prospective application for individualization of the incretin effect in a single subject, when his/her data are plugged in. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01692607
Volume :
107
Issue :
2
Database :
Academic Search Index
Journal :
Computer Methods & Programs in Biomedicine
Publication Type :
Academic Journal
Accession number :
76465433
Full Text :
https://doi.org/10.1016/j.cmpb.2011.07.002