Evidence map›Paper›PMID 33002116›Full record

SynthesisCardiovascular research2021

Co-expression of calcium and hERG potassium channels reduces the incidence of proarrhythmic events.

Sara Ballouz, Melissa M Mangala, Matthew D Perry, Stewart Heitmann, Jesse A Gillis, Adam P Hill, Jamie I Vandenberg

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  7. Electrophysiological tolerance: a new concept for understanding the electrical stability of the heart.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 · 2024
    Review
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  12. Pairwise biosynthesis of ion channels stabilizes excitability and mitigates arrhythmias.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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 3 institutions in 2 countries.

Sara BallouzGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst NSW 2010, Australia.ORCID 0000-0003-4701-3020
Melissa M MangalaVictor Chang Cardiac Research Institute, Lowy Packer Building, 405 Liverpool Street, Darlinghurst, New South Wales 2010, Australia.ORCID 0000-0002-0924-6782
Matthew D PerryUniversity of New South Wales, Sydney, Kensington, NSW 2052, Australia.ORCID 0000-0003-2175-4752
Stewart HeitmannVictor Chang Cardiac Research Institute, Lowy Packer Building, 405 Liverpool Street, Darlinghurst, New South Wales 2010, Australia.ORCID 0000-0003-3351-9514
Jesse A GillisStanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, One Bungtown Road, NY 11724, USA.ORCID 0000-0002-0936-9774
Adam P HillUniversity of New South Wales, Sydney, Kensington, NSW 2052, Australia.ORCID 0000-0002-6403-1282
Jamie I VandenbergUniversity of New South Wales, Sydney, Kensington, NSW 2052, Australia.ORCID 0000-0002-3859-3716
Victor Chang Cardiac Research Institute · AUCold Spring Harbor Laboratory · USGarvan Institute of Medical Research · AU

Funding

Revealing the transcriptomic basis of neuronal identity through functional meta-analysisR01MH113005 · NIMH · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2021
$2.4M
Heuristics to evaluate biomedical and genomic knowledge bases for validityR01LM012736 · NLM · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2020
$1.9M
National Health and Medical Research Council (NHMRC) App1116948National Institutes of Health (NIH) R01LM012736NIMH NIH HHS R01 MH113005NLM NIH HHS R01 LM012736
6 · The paper itself

Abstract

aimsCardiac electrical activity is extraordinarily robust. However, when it goes wrong it can have fatal consequences. Electrical activity in the heart is controlled by the carefully orchestrated activity of more than a dozen different ion conductances. While there is considerable variability in cardiac ion channel expression levels between individuals, studies in rodents have indicated that there are modules of ion channels whose expression co-vary. The aim of this study was to investigate whether meta-analytic co-expression analysis of large-scale gene expression datasets could identify modules of co-expressed cardiac ion channel genes in human hearts that are of functional importance. METHODS AND

resultsMeta-analysis of 3653 public human RNA-seq datasets identified a strong correlation between expression of CACNA1C (L-type calcium current, ICaL) and KCNH2 (rapid delayed rectifier K+ current, IKr), which was also observed in human adult heart tissue samples. In silico modelling suggested that co-expression of CACNA1C and KCNH2 would limit the variability in action potential duration seen with variations in expression of ion channel genes and reduce susceptibility to early afterdepolarizations, a surrogate marker for proarrhythmia. We also found that levels of KCNH2 and CACNA1C expression are correlated in human-induced pluripotent stem cell-derived cardiac myocytes and the levels of CACNA1C and KCNH2 expression were inversely correlated with the magnitude of changes in repolarization duration following inhibition of IKr.

conclusionMeta-analytic approaches of multiple independent human gene expression datasets can be used to identify gene modules that are important for regulating heart function. Specifically, we have verified that there is co-expression of CACNA1C and KCNH2 ion channel genes in human heart tissue, and in silico analyses suggest that CACNA1C-KCNH2 co-expression increases the robustness of cardiac electrical activity.

Indexed as

Action PotentialsHeart RateArrhythmias, CardiacCalcium Channels, L-TypeCells, CulturedDatabases, GeneticERG1 Potassium ChannelHumansInduced Pluripotent Stem CellsModels, CardiovascularMyocytes, CardiacRNA-SeqSignal TransductionTime FactorsCACNA1C protein, humanCalcium Channels, L-TypeERG1 Potassium ChannelKCNH2 protein, humanCalcium channelsCardiac arrhythmiaComputational modellingGene expressionPotassium channels

Identifiers

PMID33002116
PMCPMC8785951
OpenAlexW3091098315

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.