Expanding the Phenotype: Neurodevelopmental Disorder, Mitochondrial, With Abnormal Movements and Lactic Acidosis, With or Without Seizures (NEMMLAS) due to WARS2 Biallelic Variants, Encoding Mitochondrial Tryptophanyl-tRNA Synthase
Bibliographic record
Abstract
BACKGROUND: WARS2 encodes a tryptophanyl tRNA synthetase, which is involved in mitochondrial protein synthesis. Biallelic mutations in WARS2 are rare and have been associated with a spectrum of clinical presentations, including neurodevelopmental disorder with abnormal movements, lactic acidosis with or without seizures (NEMMLAS). CASE PRESENTATION: Here we present the case of an 8-year-old girl with ataxia and parkinsonism with periventricular white matter abnormalities on magnetic resonance imaging (MRI) and global developmental delay. The initial investigations revealed an elevated lactate level. Extensive metabolic testing, including a muscle biopsy, was inconclusive. Cerebrospinal fluid (CSF) neurotransmitter levels were low; however, a trial of levodopa was unremarkable. The chromosomal microarray and initial ataxia gene panel was normal. Zinc supplementation for a heterozygous variant of unknown significance in the CP gene on the ataxia exome panel was not effective in treating her symptoms. Reanalysis of the ataxia exome panel highlighted biallelic mutations in WARS2, which lead to the diagnosis of neurodevelopmental disorder, mitochondrial, with abnormal movements and lactic acidosis, with or without seizures (NEMMLAS). This lead to parental genetic testing, redirected therapy, and helped to expand the symptomology of this rare condition. CONCLUSION: Here we emphasize the importance of imminent and repeat expanded genetic testing to ensure early diagnosis and treatment for rare pediatric disorders. The patient is being trialed on a mitochondrial cocktail in an attempt to compensate for defects in mitochondrial protein synthesis associated with this variant. Longitudinal monitoring of disease manifestation will help establish the currently unknown natural history of this condition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".