Literature DB >> 9778431

Integral rein control in physiology.

P T Saunders1, J H Koeslag, J A Wessels.   

Abstract

We propose that blood glucose is regulated by a principle which we call integral rein control, in which under most conditions both glucagon and insulin are produced and control is achieved by altering the balance between the two. Like other integral control systems, the mechanism achieves zero steady-state error, which explains how the blood glucose level can remain very nearly constant over a wide range of input and demand. In addition, the use of two hormones makes the system stable against relatively large perturbations in either direction. An important feature of the model is that the set point is not fixed by an external reference but arises out of the dynamics, in particular out of the relation between the rates of production of the two hormones. The model therefore predicts that the consequence of an inability to produce insulin will be not just that the control will be less effective but that the set point will be shifted. This allows us to explain why patients with untreated Type I diabetes mellitus have high blood glucose levels even under conditions of low glucose input, and why it is difficult to maintain the normal level of 5 mmol/1 in patients who are being treated with insulin. It also explains why Type II diabetes is easier to treat. Copyright 1998 Academic Press Limited

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9778431     DOI: 10.1006/jtbi.1998.0746

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  20 in total

1.  The chromogranins and the counter-regulatory hormones: do they make homeostatic sense?

Authors:  J H Koeslag; P T Saunders; J A Wessels
Journal:  J Physiol       Date:  1999-06-15       Impact factor: 5.182

2.  Gaia as a complex adaptive system.

Authors:  Timothy M Lenton; Marcel van Oijen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-05-29       Impact factor: 6.237

Review 3.  An introduction to lymphocyte and viral dynamics: the power and limitations of mathematical analysis.

Authors:  Becca Asquith; Charles R M Bangham
Journal:  Proc Biol Sci       Date:  2003-08-22       Impact factor: 5.349

Review 4.  Complex systems model of fatigue: integrative homoeostatic control of peripheral physiological systems during exercise in humans.

Authors:  E V Lambert; A St Clair Gibson; T D Noakes
Journal:  Br J Sports Med       Date:  2005-01       Impact factor: 13.800

5.  Inhibitory control by an integral feedback signal in prefrontal cortex: a model of discrimination between sequential stimuli.

Authors:  Paul Miller; Xiao-Jing Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-21       Impact factor: 11.205

6.  A basic set of homeostatic controller motifs.

Authors:  T Drengstig; I W Jolma; X Y Ni; K Thorsen; X M Xu; P Ruoff
Journal:  Biophys J       Date:  2012-11-07       Impact factor: 4.033

7.  Physical constraints on biological integral control design for homeostasis and sensory adaptation.

Authors:  Jordan Ang; David R McMillen
Journal:  Biophys J       Date:  2013-01-22       Impact factor: 4.033

8.  Integral control for population management.

Authors:  Chris Guiver; Hartmut Logemann; Richard Rebarber; Adam Bill; Brigitte Tenhumberg; Dave Hodgson; Stuart Townley
Journal:  J Math Biol       Date:  2014-05-05       Impact factor: 2.259

Review 9.  A reappraisal of the blood glucose homeostat which comprehensively explains the type 2 diabetes mellitus-syndrome X complex.

Authors:  Johan H Koeslag; Peter T Saunders; Elmarie Terblanche
Journal:  J Physiol       Date:  2003-04-25       Impact factor: 5.182

10.  Robust set-point regulation for ecological models with multiple management goals.

Authors:  Chris Guiver; Markus Mueller; Dave Hodgson; Stuart Townley
Journal:  J Math Biol       Date:  2015-08-05       Impact factor: 2.259

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.