<i>SCN3A</i> -related neurodevelopmental disorder: Clinical case reports and biophysical characterization
Bibliographic record
Abstract
SCN3A, the gene encoding the voltage-gated sodium channel, Nav1.3, plays a critical role in early neuronal development. Although traditionally considered a neonatal channel, emerging evidence has linked SCN3A mutations to a spectrum of neurodevelopmental disorders. Here, we report two clinical cases involving rare SCN3A variants: one with a de novo p.L209P mutation and another with compound heterozygous p.N52H and p.E1809K variants. Whole-exome sequencing and clinical phenotyping revealed overlapping features of global developmental delay, hypotonia, structural brain abnormalities, and, in one case, epilepsy and dystonia. To evaluate their functional impact, we expressed each mutant independently in CHO cells co-transfected with β1 subunits and performed whole-cell patch-clamp electrophysiology. p.N52H reduced current density and hyperpolarized activation, suggesting mixed gain- and loss-of-function effects. p.L209P selectively hyperpolarized the activation curve, while p.E1809K altered fast inactivation and accelerated recovery kinetics. These findings demonstrate that SCN3A variants can disrupt excitability through diverse biophysical mechanisms. Our study expands the clinical and functional landscape of SCN3A-related disorders and underscores the importance of variant-level characterization to guide diagnosis and future therapeutic strategies.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".