Literature DB >> 30978382

The integrated glucose insulin minimal model: An improved version.

Moustafa M A Ibrahim1, Anna Largajolli2, Mats O Karlsson3, Maria C Kjellsson4.   

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 (Si) and glucose effectiveness (SG), 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, SG, 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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Glucose effectiveness; Insulin sensitivity; Minimal model; NONMEM; Nonlinear mixed effects

Year:  2019        PMID: 30978382     DOI: 10.1016/j.ejps.2019.04.010

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  2 in total

1.  Exploring Inductive Linearization for simulation and estimation with an application to the Michaelis-Menten model.

Authors:  Sepideh Sharif; Chihiro Hasegawa; Stephen B Duffull
Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-07-05       Impact factor: 2.410

2.  Potential Issues With Virtual Populations When Applied to Nonlinear Quantitative Systems Pharmacology Models.

Authors:  Stephen Duffull; Abhishek Gulati
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-09-24
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.