Literature DB >> 21843545

Analyzing electrical activities of pancreatic β cells using mathematical models.

Chae Young Cha1, Trevor Powell, Akinori Noma.   

Abstract

Bursts of repetitive action potentials are closely related to the regulation of glucose-induced insulin secretion in pancreatic β cells. Mathematical studies with simple β-cell models have established the central principle that the burst-interburst events are generated by the interaction between fast membrane excitation and slow cytosolic components. Recently, a number of detailed models have been developed to simulate more realistic β cell activity based on expanded findings on biophysical characteristics of cellular components. However, their complex structures hinder our intuitive understanding of the underlying mechanisms, and it is becoming more difficult to dissect the role of a specific component out of the complex network. We have recently developed a new detailed model by incorporating most of ion channels and transporters recorded experimentally (the Cha-Noma model), yet the model satisfies the charge conservation law and reversible responses to physiological stimuli. Here, we review the mechanisms underlying bursting activity by applying mathematical analysis tools to representative simple and detailed models. These analyses include time-based simulation, bifurcation analysis and lead potential analysis. In addition, we introduce a new steady-state I-V (ssI-V) curve analysis. We also discuss differences in electrical signals recorded from isolated single cells or from cells maintaining electrical connections within multi-cell preparations. Towards this end, we perform simulations with our detailed pancreatic β-cell model.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21843545     DOI: 10.1016/j.pbiomolbio.2011.08.001

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  5 in total

1.  Slow oscillations of KATP conductance in mouse pancreatic islets provide support for electrical bursting driven by metabolic oscillations.

Authors:  Jianhua Ren; Arthur Sherman; Richard Bertram; Paulette B Goforth; Craig S Nunemaker; Christopher D Waters; Leslie S Satin
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-08-06       Impact factor: 4.310

2.  Effect of different glucose supply conditions on neuronal energy metabolism.

Authors:  Hongwen Zheng; Rubin Wang; Jingyi Qu
Journal:  Cogn Neurodyn       Date:  2016-08-25       Impact factor: 5.082

Review 3.  Pulsatile insulin secretion, impaired glucose tolerance and type 2 diabetes.

Authors:  Leslie S Satin; Peter C Butler; Joon Ha; Arthur S Sherman
Journal:  Mol Aspects Med       Date:  2015-01-28

4.  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

5.  Quantitative Decomposition of Dynamics of Mathematical Cell Models: Method and Application to Ventricular Myocyte Models.

Authors:  Takao Shimayoshi; Chae Young Cha; Akira Amano
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

  5 in total

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