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Record W4412568704 · doi:10.1113/jp287884

Mechanisms underlying local Ca<sup>2+</sup> signalling differences between right and left atrial myocytes at normal and increased frequencies

2025· article· en· W4412568704 on OpenAlexfundno aff
Joon‐Chul Kim, Hieu Trong Huynh, Phuong Kim Luong, Tran Nguyet Trinh, Yixuan Wu, Eleonora Grandi, Sun‐Hee Woo

Bibliographic record

VenueThe Journal of Physiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNational Research FoundationNational Research Foundation of KoreaYork UniversityAmerican Heart Association
KeywordsMyocyteInternal medicineAtrial myocytesEndoplasmic reticulumEndocrinologyContractilityPhospholambanChemistrySERCABiologyCalciumCell biologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Changes in heart rate affect Ca2+ signalling and contractility in ventricular muscle, but the effects on atrial Ca2+ signalling are poorly understood. Here, we explored how increased stimulation frequency affects right atrial (RA) and left atrial (LA) local Ca2+ signalling and underlying cellular mechanisms. We used two‐dimensional confocal Ca2+ imaging, patch clamping, immunocytochemistry and western blotting in isolated rat atrial myocytes. Centripetal Ca2+ waves were common in both RA and LA myocytes. Increasing the stimulation frequency from 1 to 3 Hz reduced local Ca2+ transients in LA but not in RA myocytes. LA myocytes consistently exhibited threefold faster centripetal Ca2+ propagation than RA myocytes. RA myocytes had a faster Ca2+ decay rate at higher frequencies. Most LA myocytes displayed fast release sites in the interior upon depolarization and significant transverse–axial tubules (TATs) that were partly co‐localized with junctophilin‐2, unlike RA myocytes. Increased frequency similarly reduced the Ca2+ current (ICa) in both cell types, but ICa was larger in RA cells. At increased frequencies, sarcoplasmic reticulum (SR) Ca2+ loading and fractional release (FR) remained stable in RA cells, while peripheral SR content and FR decreased in LA cells. RA cells had higher levels of peripheral SERCA2 and protein expressions of phospholamban (PLB) and phosphorylated PLB. Our data and integrative modelling suggest that LA myocytes may contract faster than RA myocytes due to TAT‐associated faster central Ca2+ release. However, LA Ca2+ signalling is more prone to maladaptation to frequency increases due to less effective SR Ca2+ uptake and a smaller trigger ICa. image Key points Changes in heart rate affect Ca2+ signalling and contractility in ventricular muscle, but the effects on atrial Ca2+ signalling are less well understood. Here we determine how increased electrical stimulation frequency affects right (RA) and left atrial (LA) local Ca2+ signalling and underlying cellular mechanisms. We demonstrate that, during depolarization, centripetal Ca2+ propagation occurs approximately threefold faster in LA myocytes compared to RA myocytes possibly due to fast releases in the interior, associated with transverse–axial tubules, and less peripheral sarcoplasmic reticulum Ca2+ pumps. Increasing stimulation frequency more readily compromises peripheral sarcoplasmic reticulum Ca2+ loading in LA myocytes, thereby impairing local Ca2+ releases, unlike in RA myocytes. The lower peripheral density of sarcoplasmic reticulum Ca2+ pumps, along with reduced levels of phospholamban monomer and phosphorylated phospholamban, in LA myocytes compared to RA myocytes underlies the defective Ca2+ signalling adaptation to increased frequency in the left atrium.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.255
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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