Literature DB >> 18780774

Mathematical models of diabetes progression.

Andrea De Gaetano1, Thomas Hardy, Benoit Beck, Eyas Abu-Raddad, Pasquale Palumbo, Juliana Bue-Valleskey, Niels Pørksen.   

Abstract

Few attempts have been made to model mathematically the progression of type 2 diabetes. A realistic representation of the long-term physiological adaptation to developing insulin resistance is necessary for effectively designing clinical trials and evaluating diabetes prevention or disease modification therapies. Writing a good model for diabetes progression is difficult because the long time span of the disease makes experimental verification of modeling hypotheses extremely awkward. In this context, it is of primary importance that the assumptions underlying the model equations properly reflect established physiology and that the mathematical formulation of the model give rise only to physically plausible behavior of the solutions. In the present work, a model of the pancreatic islet compensation is formulated, its physiological assumptions are presented, some fundamental qualitative characteristics of its solutions are established, the numerical values assigned to its parameters are extensively discussed (also with reference to available cross-sectional epidemiologic data), and its performance over the span of a lifetime is simulated under various conditions, including worsening insulin resistance and primary replication defects. The differences with respect to two previously proposed models of diabetes progression are highlighted, and therefore, the model is proposed as a realistic, robust description of the evolution of the compensation of the glucose-insulin system in healthy and diabetic individuals. Model simulations can be run from the authors' web page.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18780774     DOI: 10.1152/ajpendo.90444.2008

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  24 in total

1.  A glycemia-structured population model.

Authors:  Alessandro Borri; Simona Panunzi; Andrea De Gaetano
Journal:  J Math Biol       Date:  2015-10-06       Impact factor: 2.259

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

Review 3.  Requirements for multi-level systems pharmacology models to reach end-usage: the case of type 2 diabetes.

Authors:  Elin Nyman; Yvonne J W Rozendaal; Gabriel Helmlinger; Bengt Hamrén; Maria C Kjellsson; Peter Strålfors; Natal A W van Riel; Peter Gennemark; Gunnar Cedersund
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

4.  Modeling diabetes disease progression and salsalate intervention in Goto-Kakizaki rats.

Authors:  Yanguang Cao; Debra C Dubois; Hao Sun; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2011-09-08       Impact factor: 4.030

5.  WELL-POSEDNESS OF A MATHEMATICAL MODEL OF DIABETIC ATHEROSCLEROSIS WITH ADVANCED GLYCATION END-PRODUCTS.

Authors:  Xuming Xie
Journal:  Appl Anal       Date:  2022-04-06       Impact factor: 1.278

6.  Sparse System Identification of Leptin Dynamics in Women With Obesity.

Authors:  Md Rafiul Amin; Divesh Deepak Pednekar; Hamid Fekri Azgomi; Herman van Wietmarschen; Kirstin Aschbacher; Rose T Faghih
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-05       Impact factor: 6.055

7.  A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.

Authors:  Pramod Rajaram Somvanshi; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2013-09-18

8.  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

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

Authors:  Martina Gallenberger; Wolfgang zu Castell; Burkhard A Hense; Christina Kuttler
Journal:  Theor Biol Med Model       Date:  2012-11-19       Impact factor: 2.432

10.  The impact of mathematical modeling on the understanding of diabetes and related complications.

Authors:  I Ajmera; M Swat; C Laibe; N Le Novère; V Chelliah
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-07-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.