Modeling the physiological glucose-insulin dynamic system on diabetics
Journal
Journal of Theoretical Biology
Journal Volume
265
Journal Issue
3
Pages
314-322
Date Issued
2010
Author(s)
Abstract
A novel mathematical model is presented to describe the dynamic behavior of plasma glucose and insulin on diabetic subjects. Though various models have been proposed to simulate the short-term (a variety of intravenous glucose or insulin injection) glucose-insulin dynamics, it is intended to construct a modified delay differential equations (DDEs) model based on the human glucose-insulin metabolic system. Five specific adjustable parameters inside the model are defined as the factors of the major physiological functions. Then several clinical data sets (56 subjects) which includes the information of food ingestion and exogenous insulin injection are verified and the model could practically reflect the dynamics and oscillation behavior on diabetic subjects by varying the adjustable parameters. Moreover, the corresponding parameters are fairly helpful to identify the patient's conditions of major physiological functions. This generic glucose-insulin dynamic model can be expected to develop such advanced therapy strategies for diabetics in the future. ? 2010 Elsevier Ltd.
Subjects
Delay differential equations (DDEs)
Glucose-insulin system
Human endocrinology
Parametric estimation
Physiology
SDGs
Other Subjects
glucose; human insulin; insulin; insulin aspart; insulin glargine; insulin lispro; insulin zinc suspension; isophane insulin; lente; unclassified drug; glucose blood level; insulin; diabetes; endocrinology; estimation method; glucose; modeling; physiology; article; controlled study; diabetes mellitus; diabetic patient; food intake; glucose blood level; glucose metabolism; insulin blood level; insulin metabolism; mathematical analysis; mathematical model; oscillation; parametric test; priority journal; simulation; biological model; computer simulation; diabetes mellitus; endocrinology; human; metabolism; procedures; Blood Glucose; Computer Simulation; Diabetes Mellitus; Endocrinology; Humans; Insulin; Models, Biological; Blood Glucose; Computer Simulation; Diabetes Mellitus; Endocrinology; Humans; Insulin; Models, Biological
Type
journal article