Evidence map›Paper›PMID 31021331›Full record

ArticleJCI insight2019

Heterogeneity of the action potential duration is required for sustained atrial fibrillation.

Uma Mahesh R Avula, Jeffrey Abrams, Alexander Katchman, Sergey Zakharov, Sergey Mironov, Joseph Bayne, Daniel Roybal, Anirudh Gorti, Lin Yang, Vivek Iyer and 7 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 38 citations in OpenAlex.

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  15. Advances in basic and translational research in atrial fibrillation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
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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

17 authors at 4 institutions in 1 country.

Uma Mahesh R AvulaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Jeffrey AbramsDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Alexander KatchmanDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Sergey ZakharovDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Sergey MironovCenter for Arrhythmia Research, Division of Cardiology, University of Michigan, Ann Arbor, Michigan, USA.
Joseph BayneDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Daniel RoybalDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Anirudh GortiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Lin YangDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Vivek IyerMarin General Hospital, Greenbrae, California, USA.
Marc WaaseDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Deepak SalujaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Edward J CiaccioDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Hasan GaranDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Andrew R MarksThe Wu Center for Molecular Cardiology, Columbia University, New York, New York, USA.
Steven O MarxDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Elaine Y WanDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Columbia University · USColumbia University Irving Medical Center · USMarin Endocrine Care and Research · USUniversity of Michigan · US

Funding

L-type channel trafficking and modulation in heartR01HL121253 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Henry M. Colecraft, Steven O Marx · 2014 to 2026
$8.4M
Exploring the Molecular Physiology of Atrial FibrillationR01HL140934 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARKS, ANDREW ROBERT, MARX, STEVEN O · 2018 to 2025
$6.0M
Training in Cardiovascular Translational ResearchT32HL120826 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARKS, ANDREW ROBERT, TABAS, IRA A · 2014 to 2023
$4.7M
Clinical and Basic Science Studies in Long QT Syndrome Type 3R01HL123483 · NHLBI · UNIVERSITY OF ROCHESTER · PI KASS, ROBERT S, ZAREBA, WOJCIECH · 2014 to 2018
$3.7M
Calmodulin regulation of Na+ channels in neurons and cardiomyocytesR01HL122967 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARX, STEVEN O, PITT, GEOFFREY S · 2015 to 2018
$2.1M
Elucidating the Mechanisms of Vascular Dysfunction in Heart FailureR01HL126735 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARX, STEVEN O · 2016 to 2019
$1.6M
Role of Vascular Ion Channels in Heart Failure and Cardiovascular DiseasesK08HL122526 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2015 to 2019
$788k
Exploring Mechanisms of Atrial Fibrillation through use of Transgenic Mouse ModelsF30HL129628 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABRAMS, JEFFREY M · 2015 to 2017
$138k
NHLBI NIH HHS F30 HL129628NHLBI NIH HHS K08 HL122526NHLBI NIH HHS R01 HL121253NHLBI NIH HHS R01 HL122967NHLBI NIH HHS R01 HL123483NHLBI NIH HHS R01 HL126735NHLBI NIH HHS R01 HL140934NHLBI NIH HHS T32 HL120826
6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common cardiac arrhythmia and accounts for substantial morbidity and mortality. Recently, we created a mouse model with spontaneous and sustained AF caused by a mutation in the NaV1.5 channel (F1759A) that enhances persistent Na+ current, thereby enabling the investigation of molecular mechanisms that cause AF and the identification of novel treatment strategies. The mice have regional heterogeneity of action potential duration of the atria similar to observations in patients with AF. In these mice, we found that the initiation and persistence of the rotational reentrant AF arrhythmias, known as spiral waves or rotors, were dependent upon action potential duration heterogeneity. The centers of the rotors were localized to regions of greatest heterogeneity of the action potential duration. Pharmacologically attenuating the action potential duration heterogeneity reduced both spontaneous and pacing-induced AF. Computer-based simulations also demonstrated that the action potential duration heterogeneity is sufficient to generate rotors that manifest as AF. Taken together, these findings suggest that action potential duration heterogeneity in mice and humans is one mechanism by which AF is initiated and that reducing action potential duration heterogeneity can lessen the burden of AF.

Indexed as

Action PotentialsAdultAgedAged, 80 and overAnimalsAtrial FibrillationComputer SimulationDisease Models, AnimalElectrophysiologyFemaleHeart AtriaHumansMaleMiceMiddle AgedMutationNAV1.5 Voltage-Gated Sodium ChannelScn5a protein, mouseSodiumArrhythmiasCardiologyCell BiologyIon channelsMouse models

Identifiers

PMID31021331
PMCPMC6629142
OpenAlexW2941064501

What OpenQuestion holds

Textmetadata
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.