Evidence map›Paper›PMID 27019293›Full record

ArticlePloS one2016

Experimentally-Based Computational Investigation into Beat-To-Beat Variability in Ventricular Repolarization and Its Response to Ionic Current Inhibition.

E Pueyo, C E Dangerfield, O J Britton, L Virág, K Kistamás, N Szentandrássy, N Jost, A Varró, P P Nánási, K Burrage and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Parameter inference for stochastic reaction models of ion channel gating from whole-cell voltage-clamp data.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  2. Review
  3. Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  4. Inducing IJournal of molecular and cellular cardiology · 2022
    Article
  5. Prediction of arrhythmia susceptibility through mathematical modeling and machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

E PueyoBiomedical Research Networking Centre on Bioengineering, Biomaterials and Nanomedicine, University of Zaragoza, Zaragoza, Spain.
C E DangerfieldDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
O J BrittonDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
L VirágDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
K KistamásDepartment of Physiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
N SzentandrássyDepartment of Physiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
N JostDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
A VarróDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
P P NánásiDepartment of Physiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
K BurrageDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
B RodríguezDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
University of Debrecen · HUUniversity of Oxford · GBHungarian Academy of Sciences · HUInstituto de Investigación Sanitaria Aragón · ESQueensland University of Technology · AUUniversity of Szeged · HU

Funding

Wellcome TrustWellcome Trust 100246/Z/12/Z
6 · The paper itself

Abstract

Beat-to-beat variability in repolarization (BVR) has been proposed as an arrhythmic risk marker for disease and pharmacological action. The mechanisms are unclear but BVR is thought to be a cell level manifestation of ion channel stochasticity, modulated by cell-to-cell differences in ionic conductances. In this study, we describe the construction of an experimentally-calibrated set of stochastic cardiac cell models that captures both BVR and cell-to-cell differences in BVR displayed in isolated canine action potential measurements using pharmacological agents. Simulated and experimental ranges of BVR are compared in control and under pharmacological inhibition, and the key ionic currents determining BVR under physiological and pharmacological conditions are identified. Results show that the 4-aminopyridine-sensitive transient outward potassium current, Ito1, is a fundamental driver of BVR in control and upon complete inhibition of the slow delayed rectifier potassium current, IKs. In contrast, IKs and the L-type calcium current, ICaL, become the major contributors to BVR upon inhibition of the fast delayed rectifier potassium current, IKr. This highlights both IKs and Ito1 as key contributors to repolarization reserve. Partial correlation analysis identifies the distribution of Ito1 channel numbers as an important independent determinant of the magnitude of BVR and drug-induced change in BVR in control and under pharmacological inhibition of ionic currents. Distributions in the number of IKs and ICaL channels only become independent determinants of the magnitude of BVR upon complete inhibition of IKr. These findings provide quantitative insights into the ionic causes of BVR as a marker for repolarization reserve, both under control condition and pharmacological inhibition.

Indexed as

4-AminopyridineAction PotentialsAlgorithmsAnimalsCalcium Channels, L-TypeCells, CulturedComputational BiologyComputer SimulationDogsHumansIon Channel GatingKineticsModels, CardiovascularMyocytes, CardiacPotassium Channel BlockersPotassium Channels4-AminopyridineCalcium Channels, L-TypePotassium Channel BlockersPotassium Channels

Identifiers

PMID27019293
PMCPMC4809506
OpenAlexW2329718483

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.