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Record W2695127175 · doi:10.1161/circresaha.117.310959

The Brugada Syndrome Susceptibility Gene <i>HEY2</i> Modulates Cardiac Transmural Ion Channel Patterning and Electrical Heterogeneity

2017· article· en· W2695127175 on OpenAlexaff
Christiaan C. Veerman, Svitlana Podliesna, Rafik Tadros, Elisabeth M. Lodder, Isabella Mengarelli, Berend de Jonge, Leander Beekman, Julien Barc, Ronald Wilders, Arthur A.M. Wilde, Bastiaan J. Boukens, Ruben Coronel, Arie O. Verkerk, Carol Ann Remme, Connie R. Bezzina

Bibliographic record

VenueCirculation Research · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsMontreal Heart Institute
FundersCommon FundNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteNational Institute of Mental HealthNIH Office of the DirectorNational Cancer InstituteNational Institutes of HealthNederlandse Organisatie voor Wetenschappelijk OnderzoekFondation LeducqJulius-Maximilians-Universität WürzburgZonMwHeart Rhythm Society
KeywordsEndocardiumBrugada syndromeCardiac transient outward potassium currentBiologyVentricleInternal medicineGeneticsCell biologyMedicinePatch clampNeuroscience

Abstract

fetched live from OpenAlex

Rationale: Genome-wide association studies previously identified an association of rs9388451 at chromosome 6q22.3 (near HEY2 ) with Brugada syndrome. The causal gene and underlying mechanism remain unresolved. Objective: We used an integrative approach entailing transcriptomic studies in human hearts and electrophysiological studies in Hey2 +/− ( Hey2 heterozygous knockout) mice to dissect the underpinnings of the 6q22.31 association with Brugada syndrome. Methods and Results: We queried expression quantitative trait locus data acquired in 190 human left ventricular samples from the genotype-tissue expression consortium for cis -expression quantitative trait locus effects of rs9388451, which revealed an association between Brugada syndrome risk allele dosage and HEY2 expression (β=+0.159; P =0.0036). In the same transcriptomic data, we conducted genome-wide coexpression analysis for HEY2 , which uncovered KCNIP2 , encoding the β-subunit of the channel underlying the transient outward current ( I to ), as the transcript most robustly correlating with HEY2 expression (β=+1.47; P =2×10 −34 ). Transcript abundance of Hey2 and the I to subunits Kcnip2 and Kcnd2 , assessed by quantitative reverse transcription–polymerase chain reaction, was higher in subepicardium versus subendocardium in both left and right ventricles, with lower levels in Hey2 +/− mice compared with wild type. Surface ECG measurements showed less prominent J waves in Hey2 +/− mice compared with wild-type. In wild-type mice, patch-clamp electrophysiological studies on cardiomyocytes from right ventricle demonstrated a shorter action potential duration and a lower V max in subepicardium compared with subendocardium cardiomyocytes, which was paralleled by a higher I to and a lower sodium current ( I Na ) density in subepicardium versus subendocardium. These transmural differences were diminished in Hey2 +/− mice because of changes in subepicardial cardiomyocytes. Conclusions: This study uncovers a role of HEY2 in the normal transmural electrophysiological gradient in the ventricle and provides compelling evidence that genetic variation at 6q22.31 (rs9388451) is associated with Brugada syndrome through a HEY2 -dependent alteration of ion channel expression across the cardiac ventricular wall.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.350
Teacher spread0.299 · 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 teacher head, not a consensus.

Study designObservational
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

Citations72
Published2017
Admission routes1
Has abstractyes

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