Evidence map›Paper›PMID 40659570›Full record

ArticlePhysiological reports2025

Reduced gap junction coupling amplifies the effects of cardiomyocyte variability and destabilizes the heartbeat.

Karoline Horgmo Jæger, William E Louch, Aslak Tveito

Abstract read
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

3 authors.

Karoline Horgmo JægerSimula Research Laboratory, Oslo, Norway.ORCID 0000-0003-4234-9094
William E LouchInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.
Aslak TveitoSimula Research Laboratory, Oslo, Norway.

Funding

Norges Forskningsråd (Forskningsrådet) 322312
6 · The paper itself

Abstract

Cardiomyocytes exhibit significant cell-to-cell variability due to differences in protein expression and post-translational modifications in the cell membrane and the intracellular machinery. Resulting variability in action potential propagation and configuration is proposed to promote arrhythmia. However, such effects may be suppressed by tight electrical coupling of cells in the healthy heart, but not during pathological conditions where gap junction function is impaired. To investigate this, we employed a cell-based mathematical model of cardiac electrophysiology, in which we systematically modified properties of individual cells and intercellular electrical connectivity (gap junctions). Despite the inclusion of marked variation in properties between cells, we observed electrical homogeneity when cells were well coupled. In contrast, lower and/or more variable gap junction connectivity resulted in nonhomogeneous action potential configuration and irregular timing of the depolarizing and repolarizing electrical wavefronts. Pro-arrhythmic early after depolarizations also occurred under these conditions. These effects were effectively dampened in highly coupled cells. Nevertheless, differences in calcium homeostasis were not negated by gap junction coupling, indicating a limit to which electrical connections can homogenize mechanical function. Our findings underscore the critical role of intercellular coupling in maintaining cardiac stability and highlight the importance of studying cardiomyocytes within a syncytium rather than in isolation.

Indexed as

Gap JunctionsHeart RateModels, CardiovascularMyocytes, CardiacAction PotentialsAnimalsArrhythmias, CardiacCalciumCell CommunicationHumansCalciumcardiac electrophysiologycardiac myocytescell‐based modelingcellular variabilityheterogeneity

Identifiers

PMID40659570
PMCPMC12259345

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Registered trials

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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.