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The integrated glucose insulin minimal model: An improved version.
- Source :
-
European Journal of Pharmaceutical Sciences . Jun2019, Vol. 134, p7-19. 13p. - Publication Year :
- 2019
-
Abstract
- This paper describes the improved integrated minimal model for healthy subjects and patients with type 2 diabetes and the work leading up to this model. The original integrated minimal model characterizes simultaneously glucose and insulin following intravenous glucose tolerance test (IVGTT) in healthy subjects and provides apart from estimates of indices for insulin sensitivity (S i) and glucose effectiveness (S G), also full simulation capabilities. However, this model was developed using IVGTT data of total glucose and consequently, the model cannot separate hepatic glucose production from glucose disposal. By fitting the original integrated minimal model to IVGTT data of labelled and total glucose, we show that all parameter estimates of the glucose sub-model were significantly different between the fits, in particular, S G , which was ~3 fold higher with total, compared to labelled glucose. In addition, the time profiles of hepatic glucose production, obtained from the model, were unphysiological in most subjects. To correct these flaws, we developed the improved integrated minimal model based on the non-integrated, two-compartment minimal model. The improved integrated minimal model showed physiologically plausible dynamic time profiles of hepatic glucose production and all parameter estimates were compatible with those reported in original publication of the non-integrated minimal model. The integrated minimal model offers the benefits of the original integrated minimal model with simulation capabilities, in presence of endogenous insulin, combined with the benefits of the non-integrated minimal model, which accurately estimates the clinical indices of insulin sensitivity and glucose effectiveness. In addition, the improved integrated minimal model describes, apart from healthy subjects, also patients with type 2 diabetes. Unlabelled Image [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09280987
- Volume :
- 134
- Database :
- Academic Search Index
- Journal :
- European Journal of Pharmaceutical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 136497825
- Full Text :
- https://doi.org/10.1016/j.ejps.2019.04.010