Literature DB >> 19885087

GIM, simulation software of meal glucose-insulin model.

Chiara Dalla Man1, Davide M Raimondo, Robert A Rizza, Claudio Cobelli.   

Abstract

BACKGROUND: A simulation model of the glucose-insulin system in normal life conditions can be very useful in diabetes research, e.g., testing insulin infusion algorithms and decision support systems and assessing glucose sensor performance and patient and student training. A new meal simulation model has been proposed that incorporates state-of-the-art quantitative knowledge on glucose metabolism and its control by insulin at both organ/tissue and whole-body levels. This article presents the interactive simulation software GIM (glucose insulin model), which implements this model.
METHODS: The model is implemented in MATLAB, version 7.0.1, and is designed with a windows interface that allows the user to easily simulate a 24-hour daily life of a normal, type 2, or type 1 diabetic subject. A Simulink version is also available. Three meals a day are considered. Both open- and closed-loop controls are available for simulating a type 1 diabetic subject.
RESULTS: Software options are described in detail. Case studies are presented to illustrate the potential of the software, e.g., compare a normal subject vs an insulin-resistant subject or open-loop vs closed-loop insulin infusion in type 1 diabetes treatment.
CONCLUSIONS: User-friendly software that implements a state-of-the-art physiological model of the glucose-insulin system during a meal has been presented. The GIM graphical interface makes its use extremely easy for investigators without specific expertise in modeling.

Entities:  

Keywords:  artificial pancreas; diabetes; glucose homeostasis; glucose sensors; insulin infusion system; modeling; physiological control

Year:  2007        PMID: 19885087      PMCID: PMC2769591          DOI: 10.1177/193229680700100303

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  18 in total

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Authors:  G Nucci; C Cobelli
Journal:  Comput Methods Programs Biomed       Date:  2000-07       Impact factor: 5.428

2.  Use of a novel triple-tracer approach to assess postprandial glucose metabolism.

Authors:  Rita Basu; Barbara Di Camillo; Gianna Toffolo; Ananda Basu; Pankaj Shah; Adrian Vella; Robert Rizza; Claudio Cobelli
Journal:  Am J Physiol Endocrinol Metab       Date:  2003-01       Impact factor: 4.310

3.  Glucose effectiveness and insulin sensitivity from the minimal models: consequences of undermodeling assessed by Monte Carlo simulation.

Authors:  P Vicini; A Caumo; C Cobelli
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

4.  A mathematical model for the control mechanism of free fatty acid-glucose metabolism in normal humans.

Authors:  R Srinivasan; A H Kadish; R Sridhar
Journal:  Comput Biomed Res       Date:  1970-04

5.  Insulin kinetics in type-I diabetes: continuous and bolus delivery of rapid acting insulin.

Authors:  Malgorzata E Wilinska; Ludovic J Chassin; Helga C Schaller; Lukas Schaupp; Thomas R Pieber; Roman Hovorka
Journal:  IEEE Trans Biomed Eng       Date:  2005-01       Impact factor: 4.538

6.  Evaluation of portal/peripheral route and of algorithms for insulin delivery in the closed-loop control of glucose in diabetes--a modeling study.

Authors:  C Cobelli; A Ruggeri
Journal:  IEEE Trans Biomed Eng       Date:  1983-02       Impact factor: 4.538

7.  Validation of mathematical models of complex endocrine-metabolic systems. A case study on a model of glucose regulation.

Authors:  C Cobelli; A Mari
Journal:  Med Biol Eng Comput       Date:  1983-07       Impact factor: 2.602

8.  Feasibility of automating insulin delivery for the treatment of type 1 diabetes.

Authors:  Garry M Steil; Kerstin Rebrin; Christine Darwin; Farzam Hariri; Mohammed F Saad
Journal:  Diabetes       Date:  2006-12       Impact factor: 9.461

9.  Reversal of insulin resistance in type I diabetes after treatment with continuous subcutaneous insulin infusion.

Authors:  I Lager; P Lönnroth; H von Schenck; U Smith
Journal:  Br Med J (Clin Res Ed)       Date:  1983-12-03

10.  Meal simulation model of the glucose-insulin system.

Authors:  Chiara Dalla Man; Robert A Rizza; Claudio Cobelli
Journal:  IEEE Trans Biomed Eng       Date:  2007-10       Impact factor: 4.538

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  47 in total

1.  Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.

Authors:  Marc D Breton; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

2.  Anticipating the next meal using meal behavioral profiles: a hybrid model-based stochastic predictive control algorithm for T1DM.

Authors:  C S Hughes; S D Patek; M Breton; B P Kovatchev
Journal:  Comput Methods Programs Biomed       Date:  2010-06-19       Impact factor: 5.428

3.  Modeling the error of continuous glucose monitoring sensor data: critical aspects discussed through simulation studies.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2010-01-01

4.  Pharmacokinetics modeling of exogenous glucagon in type 1 diabetes mellitus patients.

Authors:  Dayu Lv; Marc D Breton; Leon S Farhy
Journal:  Diabetes Technol Ther       Date:  2013-08-26       Impact factor: 6.118

5.  Multilevel model of type 1 diabetes mellitus patients for model-based glucose controllers.

Authors:  Winston Garcia-Gabin; Elling W Jacobsen
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

6.  A computational proof of concept of a machine-intelligent artificial pancreas using Lyapunov stability and differential game theory.

Authors:  Nigel J C Greenwood; Jenny E Gunton
Journal:  J Diabetes Sci Technol       Date:  2014-07-04

7.  Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis.

Authors:  Lalo Magni; Davide M Raimondo; Chiara Dalla Man; Marc Breton; Stephen Patek; Giuseppe De Nicolao; Claudio Cobelli; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2008-07

8.  Early Detection of Infusion Set Failure During Insulin Pump Therapy in Type 1 Diabetes.

Authors:  Marzia Cescon; Daniel J DeSalvo; Trang T Ly; David M Maahs; Laurel H Messer; Bruce A Buckingham; Francis J Doyle; Eyal Dassau
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

9.  In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

Authors:  Boris P Kovatchev; Marc Breton; Chiara Dalla Man; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2009-01

10.  The next generation of artificial pancreas control algorithms.

Authors:  Rodrigo E Teixeira; Stephen Malin
Journal:  J Diabetes Sci Technol       Date:  2008-01
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