Phenotypical spectrum of <i>SACS</i> variants: Neuromuscular perspective of a complex neurodegenerative disorder
Bibliographic record
Abstract
OBJECTIVES: Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is caused by the SACS gene variants. Main clinical features include early-onset and progressive cerebellar ataxia, spasticity, sensorimotor polyneuropathy. However, the phenotypic spectrum expanded with the increased availability of next-generation sequencing methods. MATERIALS AND METHODS: Herein, we describe the clinical features of nine patients from seven unrelated families with SACS variants from the cohort of the Neuromuscular Disorders Unit of the Neurology Department of the Istanbul University, Istanbul Faculty of Medicine. RESULTS: Seven patients were male. Seven patients in our cohort had disease onset in the first decade of life. Eight patients were born to consanguineous marriages. Distal weakness in the lower limbs was a prominent feature in all of our patients. Seven patients had ataxia, and six patients had spasticity. Interestingly, one patient showed an isolated Charcot-Marie-Tooth-like phenotype. Five patients showed sensorimotor demyelinating polyneuropathy in the nerve conduction studies. Linear pontine hypointensity was the most frequent cranial magnetic resonance imaging (MRI) abnormality. Two patients with a later disease onset had a homozygous c.11542_11544delATT (p.Ile3848del) variant. The rest of the identified variants were scattered throughout the SACS gene. CONCLUSIONS: Atypical clinical features in our patients highlight that the phenotypic spectrum of ARSACS can be observed in a wide range.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".