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A mathematical model of oscillatory insulin secretion
1Department of Medicine, Harbor-University of California Los Angeles Medical Center, Torrance 90502.
The American Journal of Physiology
|May 1, 1993
Summary
Insulin secretion oscillates, but a mathematical model shows that even with some asynchrony between pancreatic islets, regular oscillations persist. This suggests a moderate level of islet asynchrony explains observed insulin secretion patterns.
Area of Science:
- Endocrinology
- Mathematical Biology
- Physiology
Background:
- Insulin is secreted in a pulsatile, oscillatory manner from pancreatic islets.
- The underlying mechanisms coordinating these oscillations are not fully understood.
- An assumption of a synchronizing process has been proposed.
Purpose of the Study:
- To test the assumption of a synchronizing process in insulin secretion.
- To develop and evaluate a mathematical model of oscillatory insulin secretion incorporating synchrony.
- To determine the degree of synchrony required for observed oscillatory patterns.
Main Methods:
- Evaluation of insulin oscillations in perifused isolated rat islets using spectral analysis.
- Development of a parsimonious mathematical model with synchrony (Sg) and intrinsic regularity (Si) as parameters.
- Running 100 simulations for various Sg and Si values to analyze oscillatory characteristics.
Main Results:
- The mathematical model demonstrated that the system tolerates significant asynchrony while maintaining oscillatory regularity.
- Spectral analysis of simulations showed that a moderate degree of asynchrony best matched perifusion data.
- The model provides a theoretical framework for understanding insulin secretion dynamics.
Conclusions:
- A moderate degree of asynchrony between pancreatic islets can account for the observed regular insulin oscillations.
- The developed mathematical model offers insights into the interplay of synchrony and regularity in insulin secretion.
- This study provides a theoretical basis for investigating the mechanisms driving insulin oscillations.