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Record W2121560657 · doi:10.1016/j.febslet.2009.02.007

Biophysical characterization of a new <i>SCN5A</i> mutation S1333Y in a SIDS infant linked to long QT syndrome

2009· article· en· W2121560657 on OpenAlexaff
Hai Huang, Gilles Millat, Claire Rodriguez‐Lafrasse, Robert Rousson, B. Kugener, Philippe Chevalier, Mohamed Chahine

Bibliographic record

VenueFEBS Letters · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSudden infant death syndromeLong QT syndromeMutationSudden deathMedicineGeneticsBiologyInternal medicinePediatricsQT intervalGene

Abstract

fetched live from OpenAlex

Various entities and genetic etiologies, including inherited long QT syndrome type 3 (LQT3), contribute to sudden infant death syndrome (SIDS). The goal of our research was to biophysically characterize a new SCN5A mutation (S1333Y) in a SIDS infant. S1333Y channels showed the gain of Na(+) channel function characteristic of LQT3, including a persistent inward Na(+) current and an enhanced window current that was generated by a -8 mV shift in activation and a +7 mV shift in inactivation. The correlation between the biophysical data and arrhythmia susceptibility suggested that the SIDS was secondary to the LQT3-associated S1333Y mutation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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.

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

Citations19
Published2009
Admission routes1
Has abstractyes

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