Evidence map›Paper›PMID 32718183›Full record

ArticleCirculation. Arrhythmia and electrophysiology2020

Stabilizer Cell Gene Therapy: A Less-Is-More Strategy to Prevent Cardiac Arrhythmias.

Michael B Liu, Silvia G Priori, Zhilin Qu, James N Weiss

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Gene therapy for cardiac arrhythmias.Nature reviews. Cardiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prokaryotic voltage-gated sodium channels are more effective than endogenous NaAmerican journal of physiology. Heart and circulatory physiology · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. 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 at 2 institutions in 3 countries.

Michael B LiuDepartments of Medicine/Cardiology (M.B.L., Z.Q., J.N.W.), David Geffen School of Medicine, University of California, Los Angeles.
Silvia G PrioriDepartment of Molecular Medicine, University of Pavia, Italy (S.G.P.).
Zhilin QuDepartments of Medicine/Cardiology (M.B.L., Z.Q., J.N.W.), David Geffen School of Medicine, University of California, Los Angeles.
James N WeissDepartments of Medicine/Cardiology (M.B.L., Z.Q., J.N.W.), David Geffen School of Medicine, University of California, Los Angeles.
University of California, Los Angeles · USUniversity of Pavia · IT

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
WAVE DYNAMICS IN NORMAL AND DISEASED RABBIT HEARTSP01HL078931 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WEISS, JAMES N · 2005 to 2015
$20.7M
KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
A population-based in silico platform for arrhythmia predictionR01HL134709 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI QU, ZHILIN · 2018 to 2021
$1.6M
Afterdepolarizations and Cardiac ArrhythmiasR01HL103662 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WEISS, JAMES N · 2010 to 2010
$407k
Triggered arrhythmias induced by heart failure remodeling: A multi-scale computational approachF30HL132449 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, MICHAEL BON-HAO · 2016 to 2019
$163k
NHLBI NIH HHS F30 HL132449NHLBI NIH HHS P01 HL078931NHLBI NIH HHS R01 HL103662NHLBI NIH HHS R01 HL134709NIGMS NIH HHS R25 GM067110NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

backgroundIn cardiac gene therapy to improve contractile function, achieving gene expression in the majority of cardiac myocytes is essential. In preventing cardiac arrhythmias, however, this goal may not be as important since transduction efficiencies as low as 40% suppressed ventricular arrhythmias in genetically modified mice with catecholaminergic polymorphic ventricular tachycardia.

methodsUsing computational modeling, we simulated 1-, 2-, and 3-dimensional tissue under a variety of conditions to test the ability of genetically engineered nonarrhythmogenic stabilizer cells to suppress triggered activity due to delayed or early afterdepolarizations.

resultsDue to source-sink relationships in cardiac tissue, a minority (20%-50%) of randomly distributed stabilizer cells engineered to be nonarrhythmogenic can suppress the ability of arrhythmogenic cells to generate delayed and early afterdepolarizations-related arrhythmias. Stabilizer cell gene therapy strategy can be designed to correct a specific arrhythmogenic mutation, as in the catecholaminergic polymorphic ventricular tachycardia mice studies, or more generally to suppress delayed or early afterdepolarizations from any cause by overexpressing the inward rectifier K channel Kir2.1 in stabilizer cells.

conclusionsThis promising antiarrhythmic strategy warrants further testing in experimental models to evaluate its clinical potential.

Indexed as

Cell- and Tissue-Based TherapyGenetic TherapyAction PotentialsAnimalsArrhythmias, CardiacCalcium SignalingComputer SimulationDisease Models, AnimalHeart RateMiceModels, CardiovascularModels, GeneticMyocytes, CardiacPolymorphic Catecholaminergic Ventricular TachycardiaPotassium Channels, Inwardly RectifyingRabbitsKir2.1 channelPotassium Channels, Inwardly Rectifyingarrhythmiascalcium cycling/excitation-contraction couplingdeathgene therapylong QT syndromesuddentachycardia

Identifiers

PMID32718183
PMCPMC7494545
OpenAlexW3044012237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.