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Record W2584800155 · doi:10.1038/ncomms14143

Evidence for ACTN3 as a genetic modifier of Duchenne muscular dystrophy

2017· article· en· W2584800155 on OpenAlexaff
Marshall W. Hogarth, Peter J. Houweling, Kristen C. Thomas, Heather Gordish‐Dressman, Luca Bello, V. Vishwanathan, S. Chidambaranathan, W. Douglas Biggar, Laura McAdam, Jean K. Mah, M. Tulinius, Avital Cnaan, Lauren P. Morgenroth, Robert T. Leshner, Carolina Tesi Rocha, Mathula Thangarajh, Tina Duong, Andrew J. Kornberg, Monique M. Ryan, Yoram Nevo, Alberto Dubrovsky, Paula R. Clemens, Hoda Abdel‐Hamid, Anne M. Connolly, Alan Pestronk, Jean Teasley, Tulio E. Bertorini, Richard Webster, Hanna Kolski, Nancy L. Kuntz, Sherilyn W. Driscoll, John B. Bodensteiner, Jose Carlo, Ksenija Gorni, Timothy Lotze, Peter Karachunski, Erik Henricson, Richard T. Abresch, Craig M. McDonald, Elena Pegoraro, Eric P. Hoffman, Stewart I. Head, Kathryn N. North

Bibliographic record

VenueNature Communications · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Physical Performance
Canadian institutionsUniversity of AlbertaAlberta Children's HospitalHolland Bloorview Kids Rehabilitation Hospital
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsDuchenne muscular dystrophyMuscle weaknessMedicineMuscular dystrophyWeaknessPhenotypeInternal medicineClinical trialSkeletal muscleMuscle disorderDystrophinEndocrinologyBioinformaticsBiologyGeneticsAnatomyGene

Abstract

fetched live from OpenAlex

Duchenne muscular dystrophy (DMD) is characterized by muscle degeneration and progressive weakness. There is considerable inter-patient variability in disease onset and progression, which can confound the results of clinical trials. Here we show that a common null polymorphism (R577X) in ACTN3 results in significantly reduced muscle strength and a longer 10 m walk test time in young, ambulant patients with DMD; both of which are primary outcome measures in clinical trials. We have developed a double knockout mouse model, which also shows reduced muscle strength, but is protected from stretch-induced eccentric damage with age. This suggests that α-actinin-3 deficiency reduces muscle performance at baseline, but ameliorates the progression of dystrophic pathology. Mechanistically, we show that α-actinin-3 deficiency triggers an increase in oxidative muscle metabolism through activation of calcineurin, which likely confers the protective effect. Our studies suggest that ACTN3 R577X genotype is a modifier of clinical phenotype in DMD patients.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.368
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 designObservational
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

Citations66
Published2017
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicGenetics and Physical PerformanceFrench-language works237,207