Novel SACS Variants not Recorded in ClinVar Identified in a Chinese Patient with Late-Onset Hereditary Neuropathy: a Case Report and Literature Review
Bibliographic record
Abstract
Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS) is a rare neurodegenerative disorder due to mutations in the SACS gene. While the typical phenotype is characterized by cerebellar ataxia, spasticity, and peripheral neuropathy, more reports are published of atypical and late-onset presentations, also lacking typical cerebellar signs of the disease, which can mimic Charcot-Marie-Tooth disease (CMT). We report a 58-year-old Chinese male with a 12-year history of progressive gait instability and lower limb weakness, who also exhibited retinal degeneration. Remarkably, in contrast to the majority of ARSACS patients, he had no significant spasticity, thus expanding the phenotypic spectrum. Genetic analysis identified a pathogenic compound heterozygous mutation in SACS: a novel frameshift variant (c.178del, p.Asp60ThrfsTer8) in exon 4, unreported in ClinVar, and a missense variant (c.4723 C > T, p.Arg1575Trp) in exon 10, documented in ClinVar with conflicting interpretations. The exceptionally late onset in this patient suggests that the c.178del frameshift may partially preserve sacsin function, thereby delaying disease manifestation. MLPA analysis excluded CMT1/HNPP-related rearrangements, confirming an ARSACS diagnosis. Familial segregation further supported autosomal recessive inheritance, emphasizing the importance of family screening. Given this, our case suggests a potential extended therapeutic window in late-onset ARSACS and may need to be included in future therapeutics efforts, emphasizing the importance of identifying such atypical forms. This observation highlights the importance of thorough genetic testing in achieving a correct diagnosis and providing treatment for patients with undiagnosed progressive ataxia.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".