Evidence map›Paper›PMID 23990775›Full record

ArticlePLoS computational biology2013

Determinants of beat-to-beat variability of repolarization duration in the canine ventricular myocyte: a computational analysis.

Jordi Heijman, Antonio Zaza, Daniel M Johnson, Yoram Rudy, Ralf L M Peeters, Paul G A Volders, Ronald L Westra

Abstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Article
  2. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
    Article
  3. Review
  4. Article
  5. NaInternational journal of cardiology. Heart & vasculature · 2025
    Article
  6. Article
  7. 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
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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  16. Review
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jordi HeijmanDepartment of Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.
Antonio Zaza
Daniel M Johnson
Yoram Rudy
Ralf L M Peeters
Paul G A Volders
Ronald L Westra

Funding

CARDIAC EXCITATION AND ARRHYTHMIASR01HL049054 · NHLBI · WASHINGTON UNIVERSITY · PI RUDY, YORAM · 1993 to 2017
$5.8M
NHLBI NIH HHS R01 HL049054NHLBI NIH HHS R01-HL049054-20PHS HHS R01-HLR01033343-28
6 · The paper itself

Abstract

Beat-to-beat variability of repolarization duration (BVR) is an intrinsic characteristic of cardiac function and a better marker of proarrhythmia than repolarization prolongation alone. The ionic mechanisms underlying baseline BVR in physiological conditions, its rate dependence, and the factors contributing to increased BVR in pathologies remain incompletely understood. Here, we employed computer modeling to provide novel insights into the subcellular mechanisms of BVR under physiological conditions and during simulated drug-induced repolarization prolongation, mimicking long-QT syndromes type 1, 2, and 3. We developed stochastic implementations of 13 major ionic currents and fluxes in a model of canine ventricular-myocyte electrophysiology. Combined stochastic gating of these components resulted in short- and long-term variability, consistent with experimental data from isolated canine ventricular myocytes. The model indicated that the magnitude of stochastic fluctuations is rate dependent due to the rate dependence of action-potential (AP) duration (APD). This process (the "active" component) and the intrinsic nonlinear relationship between membrane current and APD ("intrinsic component") contribute to the rate dependence of BVR. We identified a major role in physiological BVR for stochastic gating of the persistent Na(+) current (INa) and rapidly activating delayed-rectifier K(+) current (IKr). Inhibition of IKr or augmentation of INa significantly increased BVR, whereas subsequent β-adrenergic receptor stimulation reduced it, similar to experimental findings in isolated myocytes. In contrast, β-adrenergic stimulation increased BVR in simulated long-QT syndrome type 1. In addition to stochastic channel gating, AP morphology, APD, and beat-to-beat variations in Ca(2+) were found to modulate single-cell BVR. Cell-to-cell coupling decreased BVR and this was more pronounced when a model cell with increased BVR was coupled to a model cell with normal BVR. In conclusion, our results provide new insights into the ionic mechanisms underlying BVR and suggest that BVR reflects multiple potentially proarrhythmic parameters, including increased ion-channel stochasticity, prolonged APD, and abnormal Ca(2+) handling.

Indexed as

Models, CardiovascularAction PotentialsAnimalsComputational BiologyComputer SimulationDogsHeart Conduction SystemHeart RateHeart VentriclesIon ChannelsLinear ModelsMyocytes, CardiacIon Channels

Identifiers

PMID23990775
PMCPMC3749940

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.