Topp200 - Model of b-Cell Mass, Insulin, and Glucose Kinetics:Pathways to Diabetes

Model Identifier
MODEL2001080002
Short description
A Model of β -Cell Mass, Insulin, and Glucose Kinetics: Pathways to Diabetes BRIANTOPP, KEITHPROMISLOW, GERDADEVRIES, ROBERT MMIURA, DIANE TFINEGOOD Diabetes is a disease of the glucose regulatory system that is associated with increasedmorbidity and early mortality. The primary variables of this system areb-cell mass, plasmainsulin concentrations, and plasma glucose concentrations. Existing mathematical models ofglucose regulation incorporate only glucose and/or insulin dynamics. Here we develop a novelmodel ofb-cell mass, insulin, and glucose dynamics, which consists of a system of threenonlinear ordinary di!erential equations, where glucose and insulin dynamics are fast relativetob-cell mass dynamics. For normal parameter values, the model has two stable"xed points(representing physiological and pathological steady states), separated on a slow manifold bya saddle point. Mild hyperglycemia leads to the growth of theb-cell mass (negative feedback)while extreme hyperglycemia leads to the reduction of theb-cell mass (positive feedback). Themodel predicts that there are three pathways in prolonged hyperglycemia: (1) the physiological"xed point can be shifted to a hyperglycemic level (regulated hyperglycemia), (2) the physio-logical and saddle points can be eliminated (bifurcation), and (3) progressive defects in glucoseand/or insulin dynamics can drive glucose levels up at a rate faster than the adaptation of theb-cell mass which can drive glucose levels down (dynamical hyperglycemi
Format
SBML
(L2V4)
Related Publication
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A model of beta-cell mass, insulin, and glucose kinetics: pathways to diabetes.
- Topp B, Promislow K, deVries G, Miura RM, Finegood DT
- Journal of theoretical biology , 10/ 2000 , Volume 206 , pages: 605-619 , PubMed ID: 11013117
- Diabetes Research Laboratory, Simon Fraser University, Burnaby, BC, Canada V5A IS6.
- Diabetes is a disease of the glucose regulatory system that is associated with increased morbidity and early mortality. The primary variables of this system are beta-cell mass, plasma insulin concentrations, and plasma glucose concentrations. Existing mathematical models of glucose regulation incorporate only glucose and/or insulin dynamics. Here we develop a novel model of beta -cell mass, insulin, and glucose dynamics, which consists of a system of three nonlinear ordinary differential equations, where glucose and insulin dynamics are fast relative to beta-cell mass dynamics. For normal parameter values, the model has two stable fixed points (representing physiological and pathological steady states), separated on a slow manifold by a saddle point. Mild hyperglycemia leads to the growth of the beta -cell mass (negative feedback) while extreme hyperglycemia leads to the reduction of the beta-cell mass (positive feedback). The model predicts that there are three pathways in prolonged hyperglycemia: (1) the physiological fixed point can be shifted to a hyperglycemic level (regulated hyperglycemia), (2) the physiological and saddle points can be eliminated (bifurcation), and (3) progressive defects in glucose and/or insulin dynamics can drive glucose levels up at a rate faster than the adaptation of the beta -cell mass which can drive glucose levels down (dynamical hyperglycemia).
Contributors
Submitter of the first revision: Mohammad Umer Sharif Shohan
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Mohammad Umer Sharif Shohan
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Mohammad Umer Sharif Shohan
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Model files |
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Topp2000.xml | SBML L2V4 Topp200 - Model of b-Cell Mass, Insulin, and Glucose Kinetics:Pathways to Diabetes | 22.73 KB | Preview | Download |
Additional files |
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Topp2000.cps | COPASI version 4.24 (Build 197) Topp200 - Model of b-Cell Mass, Insulin, and Glucose Kinetics:Pathways to Diabetes | 55.50 KB | Preview | Download |
- Model originally submitted by : Mohammad Umer Sharif Shohan
- Submitted: Jan 8, 2020 11:28:35 AM
- Last Modified: Jan 8, 2020 11:28:35 AM