Evidence map›Paper›PMID 24391482›Full record

ArticlePLoS computational biology2014

Mathematical modeling of heterogeneous electrophysiological responses in human β-cells.

Michela Riz, Matthias Braun, Morten Gram Pedersen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 74 citations in OpenAlex.

  1. Sometimes extracellular recordings fail for good reasons.NPJ systems biology and applications · 2026
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  8. CaAmerican journal of physiology. Endocrinology and metabolism · 2023
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  11. Multilevel synchronization of humanFrontiers in network physiology · 2023
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  13. Hyperinsulinemic Hypoglycemia Associated with a CaInternational journal of molecular sciences · 2022
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Michela RizDepartment of Information Engineering, University of Padua, Padua, Italy.
Matthias BraunAlberta Diabetes Institute, Department of Pharmacology, University of Alberta, Edmonton, Alberta, Canada.
Morten Gram PedersenDepartment of Information Engineering, University of Padua, Padua, Italy.
University of Padua · ITUniversity of Alberta · CA

Funding

Canadian Institutes of Health Research MOP-106435
6 · The paper itself

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.

Indexed as

Electrophysiological PhenomenaAction PotentialsAlgorithmsAnimalsComputational BiologyGlucoseGlycolysisHumansInsulinInsulin-Secreting CellsInsulin SecretionMiceModels, TheoreticalOscillometryPancreasPotassiumGlucoseInsulinPotassiumSodium ChannelsTetrodotoxin

Identifiers

PMID24391482
PMCPMC3879095
OpenAlexW1985592505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.