A Nonsense <i>SCN5A</i> Mutation Associated with Brugada‐Type Electrocardiogram and Intraventricular Conduction Defects
Bibliographic record
Abstract
Mutations of SCN5A, gene-encoding alpha-subunit of cardiac sodium channel, can cause mixed phenotypes of Brugada syndrome (BrS) and cardiac conduction diseases (CCD). We have identified a nucleotide change of SCN5A (4178T > G), which results in a nonsense mutation, L1393X, in a 36-year-old Caucasian man who presented with intraventricular conduction delays and BrS-type electrocardiogram change. To study biophysical characteristics of L1393X-SCN5A, electrophysiological and immuno-staining studies were performed using mammalian expression systems. While WT-SCN5A showed significant currents (93.3 +/- 10.6 pA/pF; 1 microg plasmid), L1393X (5 microg) did not generate any significant currents in NIH-3T3 cells. The cells cotransfected with WT (0.5 microg) and L1393X (0.5 microg) showed approximately 50% current amplitudes compared to the WT (1 microg). Voltage dependency of a steady-state activation and inactivation was not affected by the cotransfection of L1393X. Immuno-histochemical stainings demonstrated that L1393X proteins were expressed in the plasma membranes. Our study demonstrated that L1393X-SCN5A does not form functional channel proteins, which might account for the patient's mixed phenotypes of BrS and CCD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".