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Record W2567165052 · doi:10.1016/s1525-0016(16)33307-x

498. Prolonged Benefit from Systemic rAAV8 in a Canine Model of Myotubular Myopathy

2016· article· en· W2567165052 on OpenAlexaboutno aff
Matthew Elverman, David L. Mack, Melissa Goddard, Jessica M. Snyder, Robert W. Grange, Karine Poulard, Virginie Latournerie, P. Véron, Laurine Buscara, Christine Le Bec, Samia Martin, Fulvio Mavilio, Federico Mingozzi, Hui Meng, Michael W. Lawlor, Alan H. Beggs, Anna Buj‐Bello, Martin K. Childers

Bibliographic record

VenueMolecular Therapy · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsnot available
Fundersnot available
KeywordsWeaknessMedicineRespiratory systemMyopathyStriated MusclesCongenital myopathyInternal medicineSurgeryAnatomy

Abstract

fetched live from OpenAlex

Body: Mutations in MTM1 result in X-linked myotubular myopathy (XLMTM), a rare neuromuscular disease that causes devastating muscular weakness in affected children, often fatal in the first years of life. A naturally occurring MTM1 mutation in Labrador retrievers provides unprecedented opportunity to assess MTM1 gene replacement strategies. Here, we report clinical and physiological outcomes more than 3 years after a single intravenous infusion of AAV8-MTM1 in two dogs. Readouts include neurological assessment, limb strength, gait, respiratory function, and histology. Results (Fig 1) are shown in comparison to age-matched littermates, and indicate that a single infusion of AAV8-MTM1 can markedly prolong life and achieve near normal levels of neurological function, strength, gait, and respiratory function for more than 3 years in MTM1 mutant dogs.

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 score0.012
Threshold uncertainty score0.630

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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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