Literature DB >> 26300065

Insulin resistance or hypersecretion? The βIG picture revisited.

Pranay Goel1.   

Abstract

Mathematical models of glucose, insulin and pancreatic beta-cell mass dynamics are essential to our understanding of the physiological basis of the development of type 2 diabetes. The classical view of diabetes is that the disease develops due to insulin insufficiency. An alternate viewpoint that has recently staged a revival is that diabetogenesis is a hypersecretion disorder. A prominent model of diabetes progression is the βIG model due to Topp and coworkers. Here we study two new variants of the Topp model, which we name "Topp-IR" and "Topp-HS". Topp-IR is a model in which increasing insulin resistance is sufficient to drive a system away from health towards hyperglycemia. Topp-HS describes the hypersecretion model in mathematical terms. We thus show that the hypersecretion hypothesis is theoretically sound, and is therefore a potential route to diabetes. On the basis of insights derived from modeling, we clarify several subtleties of that argument, including postulating a central role for transient insulin peaks in driving insulin resistance.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Theories of diabetogenesis; Type 2 diabetes

Mesh:

Substances:

Year:  2015        PMID: 26300065     DOI: 10.1016/j.jtbi.2015.07.033

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


  6 in total

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Authors:  Jessica E Nesmith; Timothy L Hostelley; Carmen C Leitch; Maggie S Matern; Saumil Sethna; Rebecca McFarland; Sukanya Lodh; Christopher J Westlake; Ronna Hertzano; Zubair M Ahmed; Norann A Zaghloul
Journal:  Hum Mol Genet       Date:  2019-07-01       Impact factor: 6.150

2.  Type 2 diabetes: one disease, many pathways.

Authors:  Joon Ha; Arthur Sherman
Journal:  Am J Physiol Endocrinol Metab       Date:  2020-07-14       Impact factor: 4.310

3.  A Mathematical Model of the Pathogenesis, Prevention, and Reversal of Type 2 Diabetes.

Authors:  Joon Ha; Leslie S Satin; Arthur S Sherman
Journal:  Endocrinology       Date:  2015-12-28       Impact factor: 4.736

4.  A Minimal Model Approach for Analyzing Continuous Glucose Monitoring in Type 2 Diabetes.

Authors:  Pranay Goel; Durga Parkhi; Amlan Barua; Mita Shah; Saroj Ghaskadbi
Journal:  Front Physiol       Date:  2018-06-04       Impact factor: 4.566

5.  A novel fast-slow model of diabetes progression: Insights into mechanisms of response to the interventions in the Diabetes Prevention Program.

Authors:  Andrea De Gaetano; Thomas Andrew Hardy
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

6.  Differential glucose metabolism in weight restored women with anorexia nervosa.

Authors:  Youngjung Kim; Thomas Hildebrandt; Laurel E S Mayer
Journal:  Psychoneuroendocrinology       Date:  2019-08-07       Impact factor: 4.905

  6 in total

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