Modeling Glucose-Insulin Dynamics with Delay Differential Equations
Document Type
Conference Proceeding
Source of Publication
Communications in Computer and Information Science
Publication Date
7-24-2025
Abstract
This study proposes a delay differential model for glucose-insulin endocrine and metabolic regulation. The model involves two time delays, δg and δι, which represent delayed insulin secretion and delayed glucose reduction. Moderate hyperglycemia results in beta-cell growth (negative feedback), whereas severe hyperglycemia results in beta-cell reduction (positive feedback). Hopf bifurcation occurs when a time delay passes bifurcation points. Based on biological findings, the model exhibits periodic oscillations. Diabetes and pre-diabetes may be characterized by chaotic glucose-insulin dynamics, which makes blood sugar levels unpredictable and difficult to control. The theoretical results have been validated by numerical simulations.
DOI Link
ISBN
[9783031940385]
ISSN
Publisher
Springer Nature Switzerland
Volume
2535 CCIS
First Page
12
Last Page
25
Disciplines
Life Sciences | Mathematics
Keywords
Chaos behavior, Delay differential equations, Glucose-insulin, Hopf bifurcation, Stability
Scopus ID
Recommended Citation
Rihan, Fathalla A.; Udhayakumar, K.; Anwar, M. Naim; and Mohammad, Mutaz, "Modeling Glucose-Insulin Dynamics with Delay Differential Equations" (2025). All Works. 7374.
https://zuscholars.zu.ac.ae/works/7374
Indexed in Scopus
yes
Open Access
no