Evidence map›Paper›PMID 28609477›Full record

ArticlePLoS computational biology2017

Atrial arrhythmogenicity of KCNJ2 mutations in short QT syndrome: Insights from virtual human atria.

Dominic G Whittaker, Haibo Ni, Aziza El Harchi, Jules C Hancox, Henggui Zhang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-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

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Human atrial fibrillation and genetic defects in transient outward currents: mechanistic insights from multi-scale computational models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  7. Article
  8. Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Differential Modulation ofFrontiers in physiology · 2019
    Article
  17. Genetics of atrial fibrillation: an update.Current opinion in cardiology · 2018
    Review
  18. Frontiers in physiology · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Dominic G WhittakerBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-2757-5491
Haibo NiBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-0083-4286
Aziza El HarchiDepartment of Physiology, Pharmacology and Neuroscience, and Cardiovascular Research Laboratories, School of Medical Sciences, University of Bristol, Bristol, United Kingdom.
Jules C HancoxBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.
Henggui ZhangBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-0863-5807
University of Manchester · GBHarbin Institute of Technology · CNUniversity of Bristol · GB

Funding

British Heart Foundation FS/14/5/30533British Heart Foundation PG/06/147
6 · The paper itself

Abstract

Gain-of-function mutations in KCNJ2-encoded Kir2.1 channels underlie variant 3 (SQT3) of the short QT syndrome, which is associated with atrial fibrillation (AF). Using biophysically-detailed human atria computer models, this study investigated the mechanistic link between SQT3 mutations and atrial arrhythmogenesis, and potential ion channel targets for treatment of SQT3. A contemporary model of the human atrial action potential (AP) was modified to recapitulate functional changes in IK1 due to heterozygous and homozygous forms of the D172N and E299V Kir2.1 mutations. Wild-type (WT) and mutant formulations were incorporated into multi-scale homogeneous and heterogeneous tissue models. Effects of mutations on AP duration (APD), conduction velocity (CV), effective refractory period (ERP), tissue excitation threshold and their rate-dependence, as well as the wavelength of re-entry (WL) were quantified. The D172N and E299V Kir2.1 mutations produced distinct effects on IK1 and APD shortening. Both mutations decreased WL for re-entry through a reduction in ERP and CV. Stability of re-entrant excitation waves in 2D and 3D tissue models was mediated by changes to tissue excitability and dispersion of APD in mutation conditions. Combined block of IK1 and IKr was effective in terminating re-entry associated with heterozygous D172N conditions, whereas IKr block alone may be a safer alternative for the E299V mutation. Combined inhibition of IKr and IKur produced a synergistic anti-arrhythmic effect in both forms of SQT3. In conclusion, this study provides mechanistic insights into atrial proarrhythmia with SQT3 Kir2.1 mutations and highlights possible pharmacological strategies for management of SQT3-linked AF.

Indexed as

Excitation Contraction CouplingModels, CardiovascularAction PotentialsArrhythmias, CardiacAtrial FibrillationComputer SimulationGenetic Predisposition to DiseaseHeart AtriaHeart Conduction SystemHumansIon Channel GatingModels, GeneticMutationMyocardial ContractionPotassiumPotassium Channels, Inwardly RectifyingKCNJ2 protein, humanPotassiumPotassium Channels, Inwardly Rectifying

Identifiers

PMID28609477
PMCPMC5487071
OpenAlexW2627089767

What OpenQuestion holds

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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.