Literature DB >> 19056492

Putting the pieces together in diabetes research: towards a hierarchical model of whole-body glucose homeostasis.

Gunnar Cedersund1, Peter Strålfors.   

Abstract

Type 2 diabetes is one of the most widespread and rapidly spreading diseases world-wide and has been subject of extensive research efforts. However, understanding the molecular basis of the disease is increasing piecemeal and a consensus regarding the overall picture of normal metabolic regulation and malfunction in diabetes has not emerged. A systems biology approach, combining mathematical modelling with simultaneous high-throughput measurements, can be of considerable help. On the whole-body level, this has been done in pharmacokinetic and pharmacodynamic models, which recently have started to mature into more physiologically realistic organ-based models. At the other end of the spectrum, detailed models for crucial cellular processes are starting to mature into complete modules that potentially can be fitted into such whole-body organ-based models. The result of such a merge is a multi-level hierarchical model, which is a model type that has been common in technical systems. In this review, we report and exemplify some of the recent progress that has been made to achieve such a hierarchical model, and we argue why it is only through such a model that a complete picture of diabetes mellitus can be obtained.

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Year:  2008        PMID: 19056492     DOI: 10.1016/j.ejps.2008.10.027

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  12 in total

Review 1.  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

2.  Recent Advances in Body-on-a-Chip Systems.

Authors:  Jong Hwan Sung; Ying I Wang; Narasimhan Narasimhan Sriram; Max Jackson; Christopher Long; James J Hickman; Michael L Shuler
Journal:  Anal Chem       Date:  2018-12-11       Impact factor: 6.986

3.  A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.

Authors:  O Vahidi; K E Kwok; R B Gopaluni; F K Knop
Journal:  Med Biol Eng Comput       Date:  2015-10-22       Impact factor: 2.602

4.  Zooming of states and parameters using a lumping approach including back-translation.

Authors:  Mikael Sunnåker; Henning Schmidt; Mats Jirstrand; Gunnar Cedersund
Journal:  BMC Syst Biol       Date:  2010-03-18

5.  CaliPro: A Calibration Protocol That Utilizes Parameter Density Estimation to Explore Parameter Space and Calibrate Complex Biological Models.

Authors:  Louis R Joslyn; Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Mol Bioeng       Date:  2020-09-15       Impact factor: 2.321

Review 6.  Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.

Authors:  Jana Schleicher; Theresia Conrad; Mika Gustafsson; Gunnar Cedersund; Reinhard Guthke; Jörg Linde
Journal:  Brief Funct Genomics       Date:  2017-03-01       Impact factor: 4.241

7.  Mathematical model of blood glucose dynamics by emulating the pathophysiology of glucose metabolism in type 2 diabetes mellitus.

Authors:  Nelida Elizabeth López-Palau; José Manuel Olais-Govea
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

8.  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

9.  Evaluating systems pharmacology models is different from evaluating standard pharmacokinetic-pharmacodynamic models.

Authors:  B Agoram
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-02-19

Review 10.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

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