Homozygous <i>SCN1B</i> variants causing early infantile epileptic encephalopathy 52 affect voltage‐gated sodium channel function
Bibliographic record
Abstract
Abstract We identified nine patients from four unrelated families harboring three biallelic variants in SCN1B (NM_001037.5: c.136C>T; p.[Arg46Cys], c.178C>T; p.[Arg60Cys], and c.472G>A; p.[Val158Met]). All subjects presented with early infantile epileptic encephalopathy 52 (EIEE52), a rare, severe developmental and epileptic encephalopathy featuring infantile onset refractory seizures followed by developmental stagnation or regression. Because SCN1B influences neuronal excitability through modulation of voltage‐gated sodium (Na V ) channel function, we examined the effects of human SCN1B R46C ( β1 R46C ), SCN1B R60C ( β1 R60C ), and SCN1B V158M ( β1 V158M ) on the three predominant brain Na V channel subtypes Na V 1.1 ( SCN1A ), Na V 1.2 ( SCN2A ), and Na V 1.6 ( SCN8A ). We observed a shift toward more depolarizing potentials of conductance–voltage relationships (Na V 1.2/ β1 R46C , Na V 1.2/ β1 R60C , Na V 1.6/ β1 R46C , Na V 1.6/ β1 R60C , and Na V 1.6/ β1 V158M ) and channel availability (Na V 1.1/ β1 R46C , Na V 1.1/ β1 V158M , Na V 1.2/ β1 R46C , Na V 1.2/ β1 R60C , and Na V 1.6/ β1 V158M ), and detected a slower recovery from fast inactivation for Na V 1.1/ β1 V158M . Combined with modeling data indicating perturbation‐induced structural changes in β1 , these results suggest that the SCN1B variants reported here can disrupt normal Na V channel function in the brain, which may contribute to EIEE52.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".