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Record W4386414235 · doi:10.1016/j.omtm.2023.08.013

CRISPR-Cas9-mediated exon skipping as a cardioprotective strategy in Duchenne muscular dystrophy

2023· article· en· W4386414235 on OpenAlex
Harry Wilton-Clark, Toshifumi Yokota

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMolecular Therapy — Methods & Clinical Development · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDuchenne muscular dystrophyMedicineExon skippingCardiomyopathyDystrophinMuscular dystrophyMuscle disorderBioinformaticsSkeletal muscleInternal medicineExonGeneticsHeart failureGeneBiology

Abstract

fetched live from OpenAlex

Duchenne muscular dystrophy (DMD) is a debilitating and fatal genetic disease characterized by systemic muscle breakdown affecting both skeletal and cardiac muscle.1 Typically, skeletal muscles are affected first in early childhood, leading to a loss of ambulatory ability by the early teens. As the disease progresses, the cardiac muscles become increasingly affected leading to DMD-related cardiomyopathy and eventual death, with most patients living until their mid to late twenties. Given its well-characterized genetic pathogenesis, numerous precision therapies have been explored as potential treatments for DMD, and both exon skipping therapy and microdystrophin therapy have been granted FDA approval in recent years.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.061
GPT teacher head0.435
Teacher spread0.374 · 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