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Progressive Myoclonus Epilepsy Caused by SACS Mutations (P5.158)

2016· article· en· W2502798137 on OpenAlexaffabout
Fabio Nascimento e Silva, Mikko Muona, Danah Aljaafari, Mark A. Tarnopolsky, Anna‐Elina Lehesjoki, Hanna Faghfoury, Mary Pat McAndrews, Berge A. Minassian, Samuel F. Berkovic, Danielle M. Andrade

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMyoclonusProgressive myoclonus epilepsyEpilepsyMedicineNeurosciencePediatricsPsychiatryPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE and BACKGROUND: Mutations in SACS are classically known to cause autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS). Recently, two patients clinically diagnosed with progressive myoclonus epilepsy (PME) were found to have probably pathogenic SACS mutations. In this report, we provide a detailed description of one of these cases of PME due to mutations in SACS. METHODS: Case report. RESULTS: The patient is a 25-year-old female who was born to healthy, non-consanguineous parents. Psychomotor development and cognition were normal, except for a mild learning difficulty. At the age of 13 years, she began to experience spontaneous and stimulus-induced myoclonic jerks. Two years later she had her first secondarily generalized convulsive seizure. Over the years, she also presented absence, dyscognitive, atonic, and tonic seizures, as well as photosensitivity. Seizures then became pharmacoresistant, and cognitive function significantly deteriorated. Additionally, she developed exotropia, bilateral dysmetria, dysarthria, and cerebellar ataxia. The latter, in association with her severe action myoclonus, resulted in this patient being wheelchair bound. Further, she had hypertonia and hyperactive reflexes in her lower extremities, bilateral extensor plantar reflex. EEG studies showed bihemispheric slow wave background activity with multifocal interictal epileptiform discharges. Brain MRI revealed diffuse cerebral, cerebellar, and corpus callosum atrophy. Based on the aforementioned evidence, she was clinically diagnosed with PME. Genetic testing as well and skin and muscle biopsies were undertaken to investigate the most frequent causes of PME, including mitochondrial diseases, and these investigations were all normal. She finally underwent whole-exome sequencing, which revealed two rare compound heterozygous missense variants in SACS: c.1373C>T (p.Thr458Ile) and c.8393C>A (p.Pro2798Gln). Both variants were felt to be probably pathogenic and responsible for the patient’s phenotype. Notably, the variants had been previously reported in patients with ARSACS. CONCLUSIONS: In conclusion, we describe a patient with PME caused by alterations in the SACS gene.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.010
GPT teacher head0.263
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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