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Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis

BACKGROUND: Diabetes mellitus is a group of metabolic diseases with increased blood glucose concentration as the main symptom. This can be caused by a relative or a total lack of insulin which is produced by the β‐cells in the pancreatic islets of Langerhans. Recent experimental results indicate the...

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Detalles Bibliográficos
Autores principales: Gallenberger, Martina, Castell, Wolfgang zu, Hense, Burkhard A, Kuttler, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585463/
https://www.ncbi.nlm.nih.gov/pubmed/23164557
http://dx.doi.org/10.1186/1742-4682-9-46
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author Gallenberger, Martina
Castell, Wolfgang zu
Hense, Burkhard A
Kuttler, Christina
author_facet Gallenberger, Martina
Castell, Wolfgang zu
Hense, Burkhard A
Kuttler, Christina
author_sort Gallenberger, Martina
collection PubMed
description BACKGROUND: Diabetes mellitus is a group of metabolic diseases with increased blood glucose concentration as the main symptom. This can be caused by a relative or a total lack of insulin which is produced by the β‐cells in the pancreatic islets of Langerhans. Recent experimental results indicate the relevance of the β‐cell cycle for the development of diabetes mellitus. METHODS: This paper introduces a mathematical model that connects the dynamics of glucose and insulin concentration with the β‐cell cycle. The interplay of glucose, insulin, and β‐cell cycle is described with a system of ordinary differential equations. The model and its development will be presented as well as its mathematical analysis. The latter investigates the steady states of the model and their stability. RESULTS: Our model shows the connection of glucose and insulin concentrations to the β‐cell cycle. In this way the important role of glucose as regulator of the cell cycle and the capability of the β‐cell mass to adapt to metabolic demands can be presented. Simulations of the model correspond to the qualitative behavior of the glucose‐insulin regulatory system showed in biological experiments. CONCLUSIONS: This work focusses on modeling the physiological situation of the glucose‐insulin regulatory system with a detailed consideration of the β‐cell cycle. Furthermore, the presented model allows the simulation of pathological scenarios. Modification of different parameters results in simulation of either type 1 or type 2 diabetes.
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spelling pubmed-35854632013-03-11 Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis Gallenberger, Martina Castell, Wolfgang zu Hense, Burkhard A Kuttler, Christina Theor Biol Med Model Research BACKGROUND: Diabetes mellitus is a group of metabolic diseases with increased blood glucose concentration as the main symptom. This can be caused by a relative or a total lack of insulin which is produced by the β‐cells in the pancreatic islets of Langerhans. Recent experimental results indicate the relevance of the β‐cell cycle for the development of diabetes mellitus. METHODS: This paper introduces a mathematical model that connects the dynamics of glucose and insulin concentration with the β‐cell cycle. The interplay of glucose, insulin, and β‐cell cycle is described with a system of ordinary differential equations. The model and its development will be presented as well as its mathematical analysis. The latter investigates the steady states of the model and their stability. RESULTS: Our model shows the connection of glucose and insulin concentrations to the β‐cell cycle. In this way the important role of glucose as regulator of the cell cycle and the capability of the β‐cell mass to adapt to metabolic demands can be presented. Simulations of the model correspond to the qualitative behavior of the glucose‐insulin regulatory system showed in biological experiments. CONCLUSIONS: This work focusses on modeling the physiological situation of the glucose‐insulin regulatory system with a detailed consideration of the β‐cell cycle. Furthermore, the presented model allows the simulation of pathological scenarios. Modification of different parameters results in simulation of either type 1 or type 2 diabetes. BioMed Central 2012-11-19 /pmc/articles/PMC3585463/ /pubmed/23164557 http://dx.doi.org/10.1186/1742-4682-9-46 Text en Copyright ©2012 Gallenberger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Gallenberger, Martina
Castell, Wolfgang zu
Hense, Burkhard A
Kuttler, Christina
Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title_full Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title_fullStr Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title_full_unstemmed Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title_short Dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
title_sort dynamics of glucose and insulin concentration connected to the β‐cell cycle: model development and analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585463/
https://www.ncbi.nlm.nih.gov/pubmed/23164557
http://dx.doi.org/10.1186/1742-4682-9-46
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