Literature DB >> 17573431

The electrophysiology of the beta-cell based on single transmembrane protein characteristics.

Michael E Meyer-Hermann1.   

Abstract

The electrophysiology of beta-cells is at the origin of insulin secretion. beta-Cells exhibit a complex behavior upon stimulation with glucose including repeated bursts and continuous spiking. Mathematical modeling is most suitable to improve knowledge about the function of various transmembrane currents provided the model is based on reliable data. This is the first attempt to build a mathematical model for the beta-cell electrophysiology in a bottom-up approach that relies on single protein conductance data. The results of previous whole-cell-based models are reconsidered. The full simulation including all prominent transmembrane proteins in beta-cells is used to provide a functional interpretation of their role in beta-cell bursting and an updated vantage point of beta-cell electrophysiology. As a result of a number of in silico knock-out and block experiments the novel model makes some unexpected predictions: single-channel conductance data imply that large-conductance calcium-gated potassium currents acquire the potential of driving oscillations at supralarge glucose levels. A more complex burst interruption model is presented. It also turns out that, depending on the species, sodium currents may be more relevant than considered so far. Experiments are proposed to verify these predictions.

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Year:  2007        PMID: 17573431      PMCID: PMC1989707          DOI: 10.1529/biophysj.107.106096

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  45 in total

1.  Effect of Na/Ca exchange on plateau fraction and [Ca]i in models for bursting in pancreatic beta-cells.

Authors:  D Gall; I Susa
Journal:  Biophys J       Date:  1999-07       Impact factor: 4.033

Review 2.  Sodium/calcium exchange: its physiological implications.

Authors:  M P Blaustein; W J Lederer
Journal:  Physiol Rev       Date:  1999-07       Impact factor: 37.312

Review 3.  Beta-cell CaV channel regulation in physiology and pathophysiology.

Authors:  Shao-Nian Yang; Per-Olof Berggren
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-01       Impact factor: 4.310

4.  Charybdotoxin-sensitive K(Ca) channel is not involved in glucose-induced electrical activity in pancreatic beta-cells.

Authors:  M Kukuljan; A A Goncalves; I Atwater
Journal:  J Membr Biol       Date:  1991-01       Impact factor: 1.843

5.  Uptake and release of Ca2+ by the endoplasmic reticulum contribute to the oscillations of the cytosolic Ca2+ concentration triggered by Ca2+ influx in the electrically excitable pancreatic B-cell.

Authors:  P Gilon; A Arredouani; P Gailly; J Gromada; J C Henquin
Journal:  J Biol Chem       Date:  1999-07-16       Impact factor: 5.157

6.  Regulation by tolbutamide and diazoxide of the electrical activity in mouse pancreatic beta-cells recorded in vivo.

Authors:  A Gomis; M Valdeolmillos
Journal:  Br J Pharmacol       Date:  1998-02       Impact factor: 8.739

7.  Adenine nucleotide regulation in pancreatic beta-cells: modeling of ATP/ADP-Ca2+ interactions.

Authors:  Leonid E Fridlyand; Li Ma; Louis H Philipson
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-06-28       Impact factor: 4.310

8.  Glucose induces cytoplasmic Na+ oscillations in pancreatic beta-cells.

Authors:  E Grapengiesser
Journal:  Biochem Biophys Res Commun       Date:  1996-09-24       Impact factor: 3.575

9.  Unmasking of a periodic Na+ entry into glucose-stimulated pancreatic beta-cells after partial inhibition of the Na/K pump.

Authors:  E Grapengiesser
Journal:  Endocrinology       Date:  1998-07       Impact factor: 4.736

10.  Interplay between cytoplasmic Ca2+ and the ATP/ADP ratio: a feedback control mechanism in mouse pancreatic islets.

Authors:  P Detimary; P Gilon; J C Henquin
Journal:  Biochem J       Date:  1998-07-15       Impact factor: 3.857

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  15 in total

1.  A mathematical model of β-cells in an islet of Langerhans sensing a glucose gradient.

Authors:  Michael Meyer-Hermann; Richard K P Benninger
Journal:  HFSP J       Date:  2010-04-08

Review 2.  Bursting and calcium oscillations in pancreatic beta-cells: specific pacemakers for specific mechanisms.

Authors:  L E Fridlyand; N Tamarina; L H Philipson
Journal:  Am J Physiol Endocrinol Metab       Date:  2010-07-13       Impact factor: 4.310

Review 3.  Contributions of mathematical modeling of beta cells to the understanding of beta-cell oscillations and insulin secretion.

Authors:  Morten Gram Pedersen
Journal:  J Diabetes Sci Technol       Date:  2009-01

4.  Modeling K,ATP--dependent excitability in pancreatic islets.

Authors:  Jonathan R Silva; Paige Cooper; Colin G Nichols
Journal:  Biophys J       Date:  2014-11-04       Impact factor: 4.033

Review 5.  Cellular communication and heterogeneity in pancreatic islet insulin secretion dynamics.

Authors:  Richard K P Benninger; David W Piston
Journal:  Trends Endocrinol Metab       Date:  2014-03-26       Impact factor: 12.015

Review 6.  Lessons from models of pancreatic beta cells for engineering glucose-sensing cells.

Authors:  Arthur Sherman
Journal:  Math Biosci       Date:  2010-05-24       Impact factor: 2.144

7.  Pancreatic islet cells: a model for calcium-dependent peptide release.

Authors:  Bernat Soria; Eva Tudurí; Alejandro González; Abdelkrim Hmadcha; Franz Martin; Angel Nadal; Ivan Quesada
Journal:  HFSP J       Date:  2010-03-30

8.  A biophysical model of electrical activity in human β-cells.

Authors:  Morten Gram Pedersen
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

9.  Sodium channel beta1 regulatory subunit deficiency reduces pancreatic islet glucose-stimulated insulin and glucagon secretion.

Authors:  Sara J Ernst; Lydia Aguilar-Bryan; Jeffrey L Noebels
Journal:  Endocrinology       Date:  2008-11-06       Impact factor: 4.736

10.  Ionic mechanisms and Ca2+ dynamics underlying the glucose response of pancreatic β cells: a simulation study.

Authors:  Chae Young Cha; Yasuhiko Nakamura; Yukiko Himeno; Jianwu Wang; Shinpei Fujimoto; Nobuya Inagaki; Yung E Earm; Akinori Noma
Journal:  J Gen Physiol       Date:  2011-07       Impact factor: 4.086

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