Wang, Yi-Fang, Khan, Michael and Berg, Hugo van den (2012) Interaction of fast and slow dynamics in endocrine control systems with an application to β-cell dynamics. Mathematical Biosciences, Vol.235 (No.1). pp. 8-18. doi:10.1016/j.mbs.2011.10.003

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Abstract

Endocrine dynamics spans a wide range of time scales, from rapid responses to physiological challenges to with slow responses that adapt the system to the demands placed on it. We outline a non-linear averaging procedure to extract the slower dynamics in a way that accounts properly for the non-linear dynamics of the faster time scale and is applicable to a hierarchy of more than two time scales, although we restrict our discussion to two scales for the sake of clarity. The procedure is exact if the slow time scale is infinitely slow (the dimensionless epsilon-quantity is the period of the fast time scale fluctuation times an upper bound to the slow time scale rate of change). However, even for an imperfect separation of time scales we find that this construction provides an excellent approximation for the slow-time dynamics at considerably reduced computational cost. Besides the computation advantage, the averaged equation provided a qualitative insight into the interaction of the time scales. We demonstrate the procedure and its advantages by applying the theory to the model described by Tolic et al. [I.M. Tolic, E. Mosekilde, J. Stuns, Modeling the insulin-glucose feedback system: the significance of pulsatile insulin secretion, J. Theor. Biol. 207 (2000) 361-375.] for ultradian dynamics of the glucose-insulin homeostasis feedback system, extended to include beta-cell dynamics. We find that the dynamics of the beta-cell mass are dependent not only on the glycemic load (amount of glucose administered to the system), but also on the way this load is applied (i.e. three meals daily versus constant infusion), effects that are lost in the inappropriate methods used by the earlier authors. Furthermore, we find that the loss of the protection against apoptosis conferred by insulin that occurs at elevated levels of insulin has a functional role in keeping the beta-cell mass in check without compromising regulatory function. We also find that replenishment of beta-cells from a rapidly proliferating pool of cells, as opposed to the slow turn-over which characterises fully differentiated beta-cells, is essential to the prevention of type 1 diabetes.

Item Type:	Journal Article
Subjects:	Q Science > QP Physiology
Divisions:	Faculty of Science > Life Sciences (2010- ) Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH):	Endocrinology -- Mathematical models, Biological control systems -- Mathematical models, Pancreatic beta cells -- Mathematical models
Journal or Publication Title:	Mathematical Biosciences
Publisher:	Elsevier Science Inc.
ISSN:	0025-5564
Official Date:	January 2012
Dates:	Date Event January 2012 Published
Volume:	Vol.235
Number:	No.1
Number of Pages:	11
Page Range:	pp. 8-18
DOI:	10.1016/j.mbs.2011.10.003
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	University of Warwick, Engineering and Physical Sciences Research Council (EPSRC)

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