Evidence map›Paper›PMID 32251669›Full record

ArticleJournal of molecular and cellular cardiology2020

Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities.

Cristian Trovato, Elisa Passini, Norbert Nagy, András Varró, Najah Abi-Gerges, Stefano Severi, Blanca Rodriguez

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 47 citations in OpenAlex.

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  13. Regenerative therapy · 2022
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  18. ESC working group on cardiac cellular electrophysiology position paper: relevance, opportunities, and limitations of experimental models for cardiac electrophysiology research.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021
    Review
  19. 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 at 5 institutions in 4 countries.

Cristian TrovatoDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom. Electronic address: cristian.trovato@cs.ox.ac.uk.
Elisa PassiniDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom.
Norbert NagyDepartment of Pharmacology and Pharmacotherapy, University of Szeged, Szeged H-6720, Hungary; Department of Pharmacology and Pharmacotherapy, Interdisciplinary Excellence Centre, University of Szeged, Szeged, Hungary.
András VarróDepartment of Pharmacology and Pharmacotherapy, University of Szeged, Szeged H-6720, Hungary; Department of Pharmacology and Pharmacotherapy, Interdisciplinary Excellence Centre, University of Szeged, Szeged, Hungary.
Najah Abi-GergesAnaBios Corporation, San Diego Science Center, San Diego, CA 92109, USA.
Stefano SeveriDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Cesena 47521, Italy.
Blanca RodriguezDepartment of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom. Electronic address: blanca.rodriguez@cs.ox.ac.uk.
University of Oxford · GBUniversity of Szeged · HUAnaBios (United States) · USBritish Heart Foundation · GBUniversity of Bologna · IT

Funding

British Heart Foundation RE/08/004/23915British Heart Foundation RE/13/1/30181Wellcome TrustWellcome Trust 100246/Z/12/ZWellcome Trust 214290/Z/18/Z
6 · The paper itself

Abstract

Cardiac Purkinje cells (PCs) are implicated in lethal arrhythmias caused by cardiac diseases, mutations, and drug action. However, the pro-arrhythmic mechanisms in PCs are not entirely understood, particularly in humans, as most investigations are conducted in animals. The aims of this study are to present a novel human PCs electrophysiology biophysically-detailed computational model, and to disentangle ionic mechanisms of human Purkinje-related electrophysiology, pacemaker activity and arrhythmogenicity. The new Trovato2020 model incorporates detailed Purkinje-specific ionic currents and Ca

Indexed as

BiomarkersDisease SusceptibilityModels, BiologicalAction PotentialsArrhythmias, CardiacCalciumCalcium SignalingElectrophysiological PhenomenaHumansPurkinje FibersReproducibility of ResultsSodiumBiomarkersCalciumSodiumArrhythmiasCardiac PurkinjeComputer modelingElectrophysiologyHumanIn silico trials

Identifiers

PMID32251669
PMCPMC7294239
OpenAlexW3014887080

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.