A mathematical model of brain glucose homeostasis

<p>Abstract</p> <p>Background</p> <p>The physiological fact that a stable level of brain glucose is more important than that of blood glucose suggests that the ultimate goal of the glucose-insulin-glucagon (GIG) regulatory system may be homeostasis of glucose concentrat...

Full description

Bibliographic Details
Main Authors: Kimura Hidenori, Gaohua Lu
Format: Article
Language:English
Published: BMC 2009-11-01
Series:Theoretical Biology and Medical Modelling
Online Access:http://www.tbiomed.com/content/6/1/26
id doaj-9e96a5fa20c04e50ac02f33633fa8968
record_format Article
spelling doaj-9e96a5fa20c04e50ac02f33633fa89682020-11-24T21:53:37ZengBMCTheoretical Biology and Medical Modelling1742-46822009-11-01612610.1186/1742-4682-6-26A mathematical model of brain glucose homeostasisKimura HidenoriGaohua Lu<p>Abstract</p> <p>Background</p> <p>The physiological fact that a stable level of brain glucose is more important than that of blood glucose suggests that the ultimate goal of the glucose-insulin-glucagon (GIG) regulatory system may be homeostasis of glucose concentration in the brain rather than in the circulation.</p> <p>Methods</p> <p>In order to demonstrate the relationship between brain glucose homeostasis and blood hyperglycemia in diabetes, a brain-oriented mathematical model was developed by considering the brain as the controlled object while the remaining body as the actuator. After approximating the body compartmentally, the concentration dynamics of glucose, as well as those of insulin and glucagon, are described in each compartment. The brain-endocrine crosstalk, which regulates blood glucose level for brain glucose homeostasis together with the peripheral interactions among glucose, insulin and glucagon, is modeled as a proportional feedback control of brain glucose. Correlated to the brain, long-term effects of psychological stress and effects of blood-brain-barrier (BBB) adaptation to dysglycemia on the generation of hyperglycemia are also taken into account in the model.</p> <p>Results</p> <p>It is shown that simulation profiles obtained from the model are qualitatively or partially quantitatively consistent with clinical data, concerning the GIG regulatory system responses to bolus glucose, stepwise and continuous glucose infusion. Simulations also revealed that both stress and BBB adaptation contribute to the generation of hyperglycemia.</p> <p>Conclusion</p> <p>Simulations of the model of a healthy person under long-term severe stress demonstrated that feedback control of brain glucose concentration results in elevation of blood glucose level. In this paper, we try to suggest that hyperglycemia in diabetes may be a normal outcome of brain glucose homeostasis.</p> http://www.tbiomed.com/content/6/1/26
collection DOAJ
language English
format Article
sources DOAJ
author Kimura Hidenori
Gaohua Lu
spellingShingle Kimura Hidenori
Gaohua Lu
A mathematical model of brain glucose homeostasis
Theoretical Biology and Medical Modelling
author_facet Kimura Hidenori
Gaohua Lu
author_sort Kimura Hidenori
title A mathematical model of brain glucose homeostasis
title_short A mathematical model of brain glucose homeostasis
title_full A mathematical model of brain glucose homeostasis
title_fullStr A mathematical model of brain glucose homeostasis
title_full_unstemmed A mathematical model of brain glucose homeostasis
title_sort mathematical model of brain glucose homeostasis
publisher BMC
series Theoretical Biology and Medical Modelling
issn 1742-4682
publishDate 2009-11-01
description <p>Abstract</p> <p>Background</p> <p>The physiological fact that a stable level of brain glucose is more important than that of blood glucose suggests that the ultimate goal of the glucose-insulin-glucagon (GIG) regulatory system may be homeostasis of glucose concentration in the brain rather than in the circulation.</p> <p>Methods</p> <p>In order to demonstrate the relationship between brain glucose homeostasis and blood hyperglycemia in diabetes, a brain-oriented mathematical model was developed by considering the brain as the controlled object while the remaining body as the actuator. After approximating the body compartmentally, the concentration dynamics of glucose, as well as those of insulin and glucagon, are described in each compartment. The brain-endocrine crosstalk, which regulates blood glucose level for brain glucose homeostasis together with the peripheral interactions among glucose, insulin and glucagon, is modeled as a proportional feedback control of brain glucose. Correlated to the brain, long-term effects of psychological stress and effects of blood-brain-barrier (BBB) adaptation to dysglycemia on the generation of hyperglycemia are also taken into account in the model.</p> <p>Results</p> <p>It is shown that simulation profiles obtained from the model are qualitatively or partially quantitatively consistent with clinical data, concerning the GIG regulatory system responses to bolus glucose, stepwise and continuous glucose infusion. Simulations also revealed that both stress and BBB adaptation contribute to the generation of hyperglycemia.</p> <p>Conclusion</p> <p>Simulations of the model of a healthy person under long-term severe stress demonstrated that feedback control of brain glucose concentration results in elevation of blood glucose level. In this paper, we try to suggest that hyperglycemia in diabetes may be a normal outcome of brain glucose homeostasis.</p>
url http://www.tbiomed.com/content/6/1/26
work_keys_str_mv AT kimurahidenori amathematicalmodelofbrainglucosehomeostasis
AT gaohualu amathematicalmodelofbrainglucosehomeostasis
AT kimurahidenori mathematicalmodelofbrainglucosehomeostasis
AT gaohualu mathematicalmodelofbrainglucosehomeostasis
_version_ 1725871077419122688