Evidence map›Paper›PMID 27320382›Full record

ArticleProgress in biophysics and molecular biology2016

Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.

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

Abstract read
In one paragraph

Article in Progress in biophysics and molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  8. Sensitivity of a data-assimilation system for reconstructing three-dimensional cardiac electrical dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  9. Article
  10. Article
  11. Article
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  14. Cardiac ischemia-insights from computational models.Herzschrittmachertherapie & Elektrophysiologie · 2018
    Review
  15. Article
  16. Review
  17. Electron tomography of rabbit cardiomyocyte three-dimensional ultrastructure.Progress in biophysics and molecular biology · 2016
    Article
  18. Review
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, UK.
Kevin BurrageDepartment of Computer Science, University of Oxford, Oxford, UK; School of Mathematical Sciences and ARC Centre of Excellence, ACEMS, Queensland University of Technology, Brisbane, Australia.
Blanca RodríguezDepartment of Computer Science, University of Oxford, Oxford, UK.
T Alexander QuinnDepartment of Physiology and Biophysics, Dalhousie University, 5850 College St, Lab 3F, Halifax, NS B3H 4R2, Canada; School of Biomedical Engineering, Dalhousie University, 5850 College St, Lab 3F, Halifax, NS B3H 4R2, Canada. Electronic address: alex.quinn@dal.ca.

Funding

British Heart Foundation PG/09/066/27898
6 · The paper itself

Abstract

Computational modelling, combined with experimental investigations, is a powerful method for investigating complex cardiac electrophysiological behaviour. The use of rabbit-specific models, due to the similarities of cardiac electrophysiology in this species with human, is especially prevalent. In this paper, we first briefly review rabbit-specific computational modelling of ventricular cell electrophysiology, multi-cellular simulations including cellular heterogeneity, and acute ischemia. This mini-review is followed by an original computational investigation of variability in the electrophysiological response of two experimentally-calibrated populations of rabbit-specific ventricular myocyte action potential models to acute ischemia. We performed a systematic exploration of the response of the model populations to varying degrees of ischemia and individual ischemic parameters, to investigate their individual and combined effects on action potential duration and refractoriness. This revealed complex interactions between model population variability and ischemic factors, which combined to enhance variability during ischemia. This represents an important step towards an improved understanding of the role that physiological variability may play in electrophysiological alterations during acute ischemia.

Indexed as

Electrophysiological PhenomenaModels, CardiovascularAction PotentialsAcute DiseaseAdenosine TriphosphateAnimalsHeart VentriclesHumansMyocardial IschemiaPotassiumRabbitsSpecies SpecificityAdenosine TriphosphatePotassiumCardiac cell electrophysiologyComputational modellingIschemiaPopulations of modelsRabbitVariability

Identifiers

PMID27320382
PMCPMC5405055

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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.