Channelpedia

PubMed 21708953


Referenced in: none

Automatically associated channels: Slo1 , TRP , TRPM



Title: Ionic mechanisms and Ca2+ dynamics underlying the glucose response of pancreatic {beta} cells: a simulation study.

Authors: Chae Young Cha, Yasuhiko Nakamura, Yukiko Himeno, Jianwu Wang, Shinpei Fujimoto, Nobuya Inagaki, Yung E Earm, Akinori Noma

Journal, date & volume: J. Gen. Physiol., 2011 Jul , 138, 21-37

PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/21708953


Abstract
To clarify the mechanisms underlying the pancreatic β-cell response to varying glucose concentrations ([G]), electrophysiological findings were integrated into a mathematical cell model. The Ca(2+) dynamics of the endoplasmic reticulum (ER) were also improved. The model was validated by demonstrating quiescent potential, burst-interburst electrical events accompanied by Ca(2+) transients, and continuous firing of action potentials over [G] ranges of 0-6, 7-18, and >19 mM, respectively. These responses to glucose were completely reversible. The action potential, input impedance, and Ca(2+) transients were in good agreement with experimental measurements. The ionic mechanisms underlying the burst-interburst rhythm were investigated by lead potential analysis, which quantified the contributions of individual current components. This analysis demonstrated that slow potential changes during the interburst period were attributable to modifications of ion channels or transporters by intracellular ions and/or metabolites to different degrees depending on [G]. The predominant role of adenosine triphosphate-sensitive K(+) current in switching on and off the repetitive firing of action potentials at 8 mM [G] was taken over at a higher [G] by Ca(2+)- or Na(+)-dependent currents, which were generated by the plasma membrane Ca(2+) pump, Na(+)/K(+) pump, Na(+)/Ca(2+) exchanger, and TRPM channel. Accumulation and release of Ca(2+) by the ER also had a strong influence on the slow electrical rhythm. We conclude that the present mathematical model is useful for quantifying the role of individual functional components in the whole cell responses based on experimental findings.