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Record W2883459175 · doi:10.1002/mdc3.12667

ADCK3‐related Coenzyme Q10 Deficiency: A Potentially Treatable Genetic Disease

2018· article· en· W2883459175 on OpenAlexaff
Anna Chang, Marta Ruíz-López, Elizabeth Slow, Mark A. Tarnopolsky, Anthony E. Lang, Renato P. Munhoz

Bibliographic record

VenueMovement Disorders Clinical Practice · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCoenzyme Q10 studies and effects
Canadian institutionsMcMaster University Medical CentreToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsCoenzyme Q10DystoniaAtaxiaMyoclonusMedicineMovement disordersDiseasePediatricsMitochondrial diseaseBioinformaticsInternal medicineGeneticsGenePsychiatryBiology

Abstract

fetched live from OpenAlex

Abstract Background Disorders related to dysfunction of coenzyme (CoQ 10 ) metabolism, including AarF domain containing kinase 3 gene (ADCK3) mutations, have received attention due to the potential for response to CoQ 10 supplementation. Methods We describe two new cases of neurological syndromes due to ADCK3 mutations that obtained striking benefit from CoQ10, and a third who did not. We also review 20 cases from the literature in which responses to CoQ10 were documented out of all 38 previously reported cases. Results Despite the remarkable responses in some cases with ataxia and movement disorders (myoclonus, dystonia, tremor), overall, we were not able to identify variables that predicted response to CoQ 10 supplementation. Conclusions Based on our experience and data from the literature, we recommend a minimum of 10 mg/kg/day of ubiquinone with titration up to 15 mg/kg/day, maintained at least for 6 months in order to obtain or exclude potential benefit from therapy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.324
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations36
Published2018
Admission routes1
Has abstractyes

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