Skip navigation

The regulatory system for diabetes mellitus: Modeling rates of glucose infusions and insulin injections

The regulatory system for diabetes mellitus: Modeling rates of glucose infusions and insulin injections

Yang, Jin, Tang, Sanyi and Cheke, Robert ORCID: 0000-0002-7437-1934 (2016) The regulatory system for diabetes mellitus: Modeling rates of glucose infusions and insulin injections. Communications in Nonlinear Science and Numerical Simulation, 37. pp. 305-325. ISSN 1007-5704 (Print), 1878-7274 (Online) (doi:10.1016/j.cnsns.2016.02.001)

[img]
Preview
PDF (Author's Accepted Manuscript)
14577_Cheke_The_regulatory_system_for_diabetes_mellitus_(AAM)_2016.pdf - Accepted Version

Download (714kB)

Abstract

Novel mathematical models with open and closed-loop control for type 1 or type 2 diabetes mellitus were developed to improve understanding of the glucose-insulin regulatory system. A hybrid impulsive glucose-insulin model with different frequencies of glucose infusions and insulin injections was analysed, and the existence and uniqueness of the positive periodic solution for type 1 diabetes, which is globally asymptotically stable, was studied analytically. Moreover, permanence of the system for type 2 diabetes was demonstrated which showed that the glucose concentration level is uniformly bounded above and below. To investigate how to prevent hyperinsulinemia and hyperglycaemia being caused by this system, we developed a model involving periodic intakes of glucose with insulin injections applied only when the blood glucose level reached a given critical glucose threshold. In addition, our numerical analysis revealed that the period, the frequency and the dose of glucose infusions and insulin injections are crucial for insulin therapies, and the results provide clinical strategies for insulin-administration practices.

Item Type: Article
Uncontrolled Keywords: Diabetes, Glucose-insulin system, Glucose infusion, Insulin injection, Critical glucose threshold
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Last Modified: 10 Feb 2018 01:38
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/14577

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics