An Italian severe Salla disease variant associated with a SLC17A5 mutation earlier described in infantile sialic acid storage disease
Bibliographic record
Abstract
The present study reports two Italian brothers affected by severe Salla disease (sialic acid storage disease), a slowly progressive autosomal recessive neurodegenerative disorder prevalent in the Finnish population. Mutations of the SLC17A5 gene, which encodes a protein called sialin, are the primary cause of both Salla disease and infantile sialic acid storage disease (ISSD), a clinically distinct severe disorder. All Finnish patients with Salla disease show a R39C mutation. Both patients showed moderate intellectual disability, spastic ataxic syndrome, hypomyelination and cerebellar atrophy on magnetic resonance imaging (MRI), and lysosomal storage, all typical of Salla disease. Mutation analysis of the SLC17A5 gene in the younger brother revealed no R39C mutation, but a 15-bp deletion in exon 6 on one of the alleles. This mutation is the same described in French-Canadian patients with ISSD. Salla disease must be suspected in patients with unexplained psychomotor retardation associated with ataxia and/or pyramidal symptoms, and MRI findings consistent with cerebral hypomyelination, irrespective of the patient's ethnic origin. A mutation screening based on R39C change does not exclude Salla disease outside Finland. Conversely, mutations found in ISSD can be expected, even in patients showing the Salla phenotype (e.g. symptoms at the milder end of the spectrum).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 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".