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Record W2051920468 · doi:10.1177/08830738030180111601

Mild Elevation of N-Acetylaspartic Acid and Macrocephaly: Diagnostic Problem

2003· article· en· W2051920468 on OpenAlexaff
Sankar Surendran, Fiona Bamforth, Alicia Chan, Stephen K. Tyring, Stephen I. Goodman, Reuben Matalon

Bibliographic record

VenueJournal of Child Neurology · 2003
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMacrocephalyExonInternal medicineEndocrinologyExcretionCreatinineMegalencephalyChemistryMedicineBiochemistryPathologyGene

Abstract

fetched live from OpenAlex

Patients with slightly increased excretion of N-acetylaspartic acid in urine, together with macrocephaly, present a dignostic dilemma for Canavan's disease. We describe a 13-year-old male patient with macrocephaly, mild developmental delay, increased signal intensity in the basal ganglia bilaterally, partial cortical blindness, and retinitis pigmentosa. Although the clinical course and magnetic resonance imaging findings did not resemble typical Canavan's disease, N-acetylaspartic acid excretion in the patient's urine was slightly elevated, 99.90 +/- 4.00 microg/mg creatinine, whereas the normal control range was < 83 microg/mg creatinine. Cultured skin fibroblasts from the patient showed no aspartoacylase activity. Cloning of genomic DNA isolated from the patient's fibroblasts showed an intronic mutation, specifically deletion of -2A and -3C at the acceptor site of exon 3 and disrupting the normal splicing of the gene. A second mutation was found in exon 6, 863 A-->G in aspartoacylase complementary DNA, causing a tyrosine-to-cysteine (Y288C) amino acid substitution. Expression of the mutation on exon 6 showed normal aspartoacylase activity. These data suggest that expression of the mutation may help to understand the enzyme defect in a patient with slightly increased N-acetylaspartic acid excretion.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.219

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 head0.010
GPT teacher head0.276
Teacher spread0.266 · 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 designBench or experimental
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

Citations29
Published2003
Admission routes1
Has abstractyes

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