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Long-Standing Psychiatric Features as the Only Clinical Presentation of Vanishing White Matter Disease

2019· article· en· W2943773614 on OpenAlexaffabout
Andrea Accogli, Bernard Brais, Donatella Tampieri, Roberta La Piana

Bibliographic record

VenueJournal of Neuropsychiatry · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsWhite matterPresentation (obstetrics)DiseasePsychiatryMedicineWhite (mutation)PsychologyMagnetic resonance imagingPathologyRadiology

Abstract

fetched live from OpenAlex

Vanishing white matter disease (VWMD) is an autosomal recessive leukoencephalopathy caused by mutations in any of the five genes (EIF2B1, EIF2B2, EIF2B3, EIF2B4, and EIF2B5) that encode the subunits of eukaryotic translation initiation factor 2B (eIF2B), which is essential for protein synthesis (1).VWMD clinically ranges from antenatal or early infantile onset with poor outcome (2) to adult onset with slow progression, where the age at onset is a strong predictor of disease course (3).Affected individuals typically have normal early development, followed by neurological deterioration triggered by stress-provoked episodes of rapid decline.Patients with adolescent or adult onset are more likely to exhibit cognitive problems at the time of or shortly after the disease onset.However, psychiatric disorders have been rarely reported as the only symptoms at the time of diagnosis (3-7) and usually are followed by neurologic manifestations within a few years (6).In women, VWMD can present as ovarioleukodystrophy, a condition in which leukodystrophy is associated with primary or secondary ovarian failure (2, 3).While this could help in reaching a diagnosis in females, the diagnosis in adult males may be challenging, given the possible atypical onset and insidious clinical course.VWMD is a recognizable disorder on brain MRI, usually characterized by diffuse and symmetric white matter T 2hyperintensities and progressive white matter rarefaction.The latter is a hallmark of the disease, both in pediatric-and adultonset cases (7).EIF2B5 is by far the most commonly mutated gene among adults with VWMD, with the recurrent c.338G.A(p.Arg113His) mutation accounting for the majority of adult cases (6), while c.260C.T(p.Ala87Val) is a founder EIF2B3 VWMD mutation in the French Canadian population of Quebec (8).Here, we present the case of an adult male who presented with only psychiatric symptoms for more than 20 years before occurrence of the typical neurological symptoms and deterioration of VWMD.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.313

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)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.301
Teacher spread0.292 · 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 designObservational
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

Citations7
Published2019
Admission routes2
Has abstractyes

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