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.

ISBN

[9783031940385]

ISSN

1865-0929

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

105012422683

Indexed in Scopus

yes

Open Access

no

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