The expanding clinical and genetic spectrum of ATP1A3-related disorders
Bibliographic record
Abstract
OBJECTIVE: We aimed to delineate the clinical and genetic spectrum of ATP1A3-related disorders and recognition of a potential genotype-phenotype correlation. METHODS: We identified 16 new patients with alternating hemiplegia of childhood (AHC) and 3 new patients with rapid-onset dystonia-parkinsonism (RDP) and included these as well as the clinical and molecular findings of all previously reported 164 patients with mutation-positive AHC and RDP in our analyses. RESULTS: Major clinical characteristics shared in common by AHC and RDP comprise a strikingly asymmetric, predominantly dystonic movement disorder with rostrocaudal gradient of involvement and physical, emotional, or chemical stressors as triggers. The clinical courses include an early-onset polyphasic for AHC, a later-onset mono- or biphasic for RDP, as well as intermediate forms. Meta-analysis of the 8 novel and 38 published ATP1A3 mutations shows that the ones affecting transmembrane and functional domains tend to be associated with AHC as the more severe phenotype. The majority of mutations are located in exons 8, 14, 17, and 18. CONCLUSION: AHC and RDP constitute clinical prototypes in a continuous phenotypic spectrum of ATP1A3-related disorders. Intermediate phenotypes combining criteria of both conditions are increasingly recognized. Efficient stepwise mutation analysis of the ATP1A3 gene may prioritize those exons where current state of knowledge indicates mutational clusters.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".