Evidence map›Paper›PMID 24587229›Full record

ArticlePloS one2014

Population of computational rabbit-specific ventricular action potential models for investigating sources of variability in cellular repolarisation.

Philip Gemmell, Kevin Burrage, Blanca Rodriguez, T Alexander Quinn

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
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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

4 authors.

Philip GemmellDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Kevin BurrageDepartment of Computer Science, University of Oxford, Oxford, United Kingdom ; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Blanca RodriguezDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
T Alexander QuinnDepartment of Physiology and Biophysics, Dalhousie University, Halifax, NS, Canada.

Funding

British Heart Foundation PG/09/066/27898Medical Research Council G0700278Wellcome Trust 100246
6 · The paper itself

Abstract

Variability is observed at all levels of cardiac electrophysiology. Yet, the underlying causes and importance of this variability are generally unknown, and difficult to investigate with current experimental techniques. The aim of the present study was to generate populations of computational ventricular action potential models that reproduce experimentally observed intercellular variability of repolarisation (represented by action potential duration) and to identify its potential causes. A systematic exploration of the effects of simultaneously varying the magnitude of six transmembrane current conductances (transient outward, rapid and slow delayed rectifier K(+), inward rectifying K(+), L-type Ca(2+), and Na(+)/K(+) pump currents) in two rabbit-specific ventricular action potential models (Shannon et al. and Mahajan et al.) at multiple cycle lengths (400, 600, 1,000 ms) was performed. This was accomplished with distributed computing software specialised for multi-dimensional parameter sweeps and grid execution. An initial population of 15,625 parameter sets was generated for both models at each cycle length. Action potential durations of these populations were compared to experimentally derived ranges for rabbit ventricular myocytes. 1,352 parameter sets for the Shannon model and 779 parameter sets for the Mahajan model yielded action potential duration within the experimental range, demonstrating that a wide array of ionic conductance values can be used to simulate a physiological rabbit ventricular action potential. Furthermore, by using clutter-based dimension reordering, a technique that allows visualisation of multi-dimensional spaces in two dimensions, the interaction of current conductances and their relative importance to the ventricular action potential at different cycle lengths were revealed. Overall, this work represents an important step towards a better understanding of the role that variability in current conductances may play in experimentally observed intercellular variability of rabbit ventricular action potential repolarisation.

Indexed as

Models, StatisticalSoftwareAction PotentialsAnimalsCalciumCalcium Channels, L-TypeHeart VentriclesIon TransportMultifactor Dimensionality ReductionPotassiumPotassium Channels, Calcium-ActivatedPotassium Channels, Inwardly RectifyingPotassium Channels, Voltage-GatedRabbitsSodiumSodium-Potassium-Exchanging ATPaseCalciumCalcium Channels, L-TypePotassiumPotassium Channels, Calcium-ActivatedPotassium Channels, Inwardly RectifyingPotassium Channels, Voltage-GatedSodiumSodium-Potassium-Exchanging ATPase

Identifiers

PMID24587229
PMCPMC3938586

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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.