title: Analyzing electrical activities of pancreatic β cells using mathematical models.
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.
authors.affiliation: Biosimulation Project, Faculty of Bioinformatics, Ritsumeikan University, Noji Higashi 1-1-1, Kusatsu-City, Shiga-Prefecture 525-8577, Japan. chacy@fc.ritsumei.ac.jp
authors.forename: Chae Young
authors.initials: CY
authors.lastname: Cha
authors.forename: Trevor
authors.initials: T
authors.lastname: Powell
authors.forename: Akinori
authors.initials: A
authors.lastname: Noma
mesh_terms: D000200:Action Potentials; D000818:Animals; D055724:Electrophysiological Phenomena; D006801:Humans; D050417:Insulin-Secreting Cells / Q000166:cytology* / Q000378:metabolism*; D008954:Models, Biological; D059010:Single-Cell Analysis