Literature DB >> 18206156

An extension to the compartmental model of type 1 diabetic patients to reproduce exercise periods with glycogen depletion and replenishment.

M Hernández-Ordoñez1, D U Campos-Delgado.   

Abstract

The purpose of this work is to present the main interactions promoted by exercise and synthesize them into mathematical equations. It is intended to extend the ability of the compartmental glucose-insulin model introduced by Sorensen [1985. A physiologic model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes. Ph.D. Dissertation, Chemical Engineering Department, MIT, Cambridge] to reproduce variations in the blood glucose concentration induced by exercise in diabetic patients and to complement the previous work by Lenart and Parker [2002. Modeling exercise effects in type I diabetic patients. In: Proceedings of the 15th Triennial World Congress, Barcelona, Spain] and Lenart, DiMascio and Parker [2002. Modeling glycogen-exercise interactions in type I diabetic patients. In: Proceedings of the A.I.Ch.E. Annual Meeting, Indianapolis, IN]. The immediate consequences of exercise are incorporated in this research: redistribution of blood flows, increments in peripheral glucose and insulin uptakes, and increment in hepatic glucose production. The extended model was verified with experimental data for light and moderate intensity exercise. In addition, data extrapolation was introduced to simulate heavy intensity exercise. The hepatic glycogen reservoir limits the peripheral glucose uptake for prolonged exercise. Therefore, the depletion and replenishment of hepatic glycogen were modeled, looking to reproduce the blood glucose levels for a type 1 diabetic patient during a normal day, with meal intakes, insulin infusions and/or boluses, and a predefined exercise regime. From the extensive simulation evaluation, it is found that the new exercise model provides a good approximation to the available experimental data from literature.

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Year:  2008        PMID: 18206156     DOI: 10.1016/j.jbiomech.2007.11.028

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart Rate.

Authors:  Peter G Jacobs; Navid Resalat; Joseph El Youssef; Ravi Reddy; Deborah Branigan; Nicholas Preiser; John Condon; Jessica Castle
Journal:  J Diabetes Sci Technol       Date:  2015-10-05

2.  A physiology-based model describing heterogeneity in glucose metabolism: the core of the Eindhoven Diabetes Education Simulator (E-DES).

Authors:  Anne H Maas; Yvonne J W Rozendaal; Carola van Pul; Peter A J Hilbers; Ward J Cottaar; Harm R Haak; Natal A W van Riel
Journal:  J Diabetes Sci Technol       Date:  2014-12-18

3.  Design of a dual-hormone model predictive control for artificial pancreas with exercise model.

Authors:  Navid Resalat; Joseph El Youssef; Ravi Reddy; Peter G Jacobs
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

4.  A metamodel-based flexible insulin therapy for type 1 diabetes patients subjected to aerobic physical activity.

Authors:  Emeric Scharbarg; Joachim Greck; Claude H Moog; Eric Le Carpentier; Lucy Chaillous
Journal:  Sci Rep       Date:  2022-05-16       Impact factor: 4.996

5.  A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.

Authors:  O Vahidi; K E Kwok; R B Gopaluni; F K Knop
Journal:  Med Biol Eng Comput       Date:  2015-10-22       Impact factor: 2.602

6.  Connecting Rodent and Human Pharmacokinetic Models for the Design and Translation of Glucose-Responsive Insulin.

Authors:  Jing Fan Yang; Xun Gong; Naveed A Bakh; Kelley Carr; Nelson F B Phillips; Faramarz Ismail-Beigi; Michael A Weiss; Michael S Strano
Journal:  Diabetes       Date:  2020-03-09       Impact factor: 9.461

7.  A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model.

Authors:  Navid Resalat; Joseph El Youssef; Nichole Tyler; Jessica Castle; Peter G Jacobs
Journal:  PLoS One       Date:  2019-07-25       Impact factor: 3.240

8.  Modelling glucose dynamics during moderate exercise in individuals with type 1 diabetes.

Authors:  Haneen Alkhateeb; Anas El Fathi; Milad Ghanbari; Ahmad Haidar
Journal:  PLoS One       Date:  2021-03-26       Impact factor: 3.240

Review 9.  Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review.

Authors:  Chirath Hettiarachchi; Elena Daskalaki; Jane Desborough; Christopher J Nolan; David O'Neal; Hanna Suominen
Journal:  JMIR Diabetes       Date:  2022-02-24

Review 10.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  10 in total

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