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Mathematical Modeling of Heterogeneous Electrophysiological Responses in Human β-Cells

Overview of attention for article published in PLoS Computational Biology, January 2014
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Title
Mathematical Modeling of Heterogeneous Electrophysiological Responses in Human β-Cells
Published in
PLoS Computational Biology, January 2014
DOI 10.1371/journal.pcbi.1003389
Pubmed ID
Authors

Michela Riz, Matthias Braun, Morten Gram Pedersen

Abstract

Electrical activity plays a pivotal role in glucose-stimulated insulin secretion from pancreatic β-cells. Recent findings have shown that the electrophysiological characteristics of human β-cells differ from their rodent counterparts. We show that the electrophysiological responses in human β-cells to a range of ion channels antagonists are heterogeneous. In some cells, inhibition of small-conductance potassium currents has no effect on action potential firing, while it increases the firing frequency dramatically in other cells. Sodium channel block can sometimes reduce action potential amplitude, sometimes abolish electrical activity, and in some cells even change spiking electrical activity to rapid bursting. We show that, in contrast to L-type Ca2+-channels, P/Q-type Ca2+-currents are not necessary for action potential generation, and, surprisingly, a P/Q-type Ca2+-channel antagonist even accelerates action potential firing. By including SK-channels and Ca2+ dynamics in a previous mathematical model of electrical activity in human β-cells, we investigate the heterogeneous and nonintuitive electrophysiological responses to ion channel antagonists, and use our findings to obtain insight in previously published insulin secretion measurements. Using our model we also study paracrine signals, and simulate slow oscillations by adding a glycolytic oscillatory component to the electrophysiological model. The heterogenous electrophysiological responses in human β-cells must be taken into account for a deeper understanding of the mechanisms underlying insulin secretion in health and disease, and as shown here, the interdisciplinary combination of experiments and modeling increases our understanding of human β-cell physiology.

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Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
Russia 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 12 23%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 9 17%
Unknown 9 17%
Readers by discipline Count As %
Engineering 9 17%
Agricultural and Biological Sciences 8 15%
Mathematics 5 9%
Neuroscience 4 8%
Physics and Astronomy 4 8%
Other 12 23%
Unknown 11 21%