Evidence map›Paper›PMID 30500818›Full record

ArticlePLoS computational biology2018

Mechanistic insight into spontaneous transition from cellular alternans to arrhythmia-A simulation study.

Wei Wang, Shanzhuo Zhang, Haibo Ni, Clifford J Garratt, Mark R Boyett, Jules C Hancox, Henggui Zhang

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Wei WangBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.
Shanzhuo ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Haibo NiBiological Physics Group, School of Physics & Astronomy, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-0083-4286
Clifford J GarrattManchester Heart Centre, Manchester Royal Infirmary, Manchester, United Kingdom.
Mark R BoyettManchester Heart Centre, Manchester Royal Infirmary, Manchester, 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 · CNManchester Royal Infirmary · GB

Funding

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

Abstract

Cardiac electrical alternans (CEA), manifested as T-wave alternans in ECG, is a clinical biomarker for predicting cardiac arrhythmias and sudden death. However, the mechanism underlying the spontaneous transition from CEA to arrhythmias remains incompletely elucidated. In this study, multiscale rabbit ventricular models were used to study the transition and a potential role of INa in perpetuating such a transition. It was shown CEA evolved into either concordant or discordant action potential (AP) conduction alternans in a homogeneous one-dimensional tissue model, depending on tissue AP duration and conduction velocity (CV) restitution properties. Discordant alternans was able to cause conduction failure in the model, which was promoted by impaired sodium channel with either a reduced or increased channel current. In a two-dimensional homogeneous tissue model, a combined effect of rate- and curvature-dependent CV broke-up alternating wavefronts at localised points, facilitating a spontaneous transition from CEA to re-entry. Tissue inhomogeneity or anisotropy further promoted break-up of re-entry, leading to multiple wavelets. Similar observations have also been seen in human atrial cellular and tissue models. In conclusion, our results identify a mechanism by which CEA spontaneously evolves into re-entry without a requirement for premature ventricular complexes or pre-existing tissue heterogeneities, and demonstrated the important pro-arrhythmic role of impaired sodium channel activity. These findings are model-independent and have potential human relevance.

Indexed as

Action PotentialsHeart RateAlgorithmsAnimalsAnisotropyArrhythmias, CardiacBiomarkersComputational BiologyComputer SimulationElectrocardiographyHeartHeart AtriaHeart Conduction SystemHeart VentriclesHumansImage Processing, Computer-AssistedBiomarkers

Identifiers

PMID30500818
PMCPMC6291170
OpenAlexW2902576139

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.