MétaCan
Menu
Back to cohort
Record W2915479746 · doi:10.1177/2329048x19829520

<i>AIMP1</i> Mutation Long-Term Follow-Up, With Decreased Brain <i>N</i> -Acetylaspartic Acid and Secondary Mitochondrial Abnormalities

2019· article· en· W2915479746 on OpenAlexafffund
Aneal Khan, Jennifer M. Bennett, Morris H. Scantlebury, Xing‐Chang Wei, Marina Kerr

Bibliographic record

VenueChild Neurology Open · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersCumming School of Medicine, University of CalgaryUniversity of CalgaryAlberta Health Services
KeywordsTerm (time)MutationMitochondrial DNABiologyGeneticsPhysicsGeneAstronomy

Abstract

fetched live from OpenAlex

Aminoacyl transfer RNA (tRNA) synthetase complex-interacting multifunctional protein I is a noncatalytic component of tRNA multi-synthetase complexes. Although important in joining tRNAs to their cognate amino acids, AIMP1 has several other functions including axonal growth, cytokine activity, and interactions with N-acetylaspartic acid in ribosomal tRNA synthetase complexes. Further, N-acetylaspartic acid donates an aspartate during myelination and is therefore important to axonal integrity. Mutations in AIMP1 can disrupt these functions, as demonstrated in this clinical case study of 2 monozygotic twins, who display congenital opisthotonus, microcephaly, severe developmental delay, and seizures. Whole exome sequencing was used to identify a premature stop codon in the AIMP1 gene (g. 107248613_c.115C&gt;T; p.(Gln39). In the absence of whole exome sequencing, we propose that decreased N-acetylaspartic acid peaks on magnetic resonance spectroscopy could act as a biomarker for AIMP1 mutations.

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 score0.231
Threshold uncertainty score0.645

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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueChild Neurology OpenSame topicRNA modifications and cancerFrench-language works237,207