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Record W2153938496 · doi:10.2174/15665240113139990044

At the “Junction” of Spinal Muscular Atrophy Pathogenesis: The Role of Neuromuscular Junction Dysfunction in SMA Disease Progression

2013· review· en· W2153938496 on OpenAlexafffund
Benoit Goulet, Rashmi Kothary, Robin J. Parks

Bibliographic record

VenueCurrent Molecular Medicine · 2013
Typereview
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsSMA*Spinal muscular atrophyNeuromuscular junctionPathogenesisDenervationMotor neuronAtrophyMuscle atrophyNeuroscienceMedicineNeuromuscular diseaseAmyotrophic lateral sclerosisDiseaseBiologyPathologyAnatomy

Abstract

fetched live from OpenAlex

Spinal muscular atrophy (SMA) is caused by mutations that reduce the level of the survival motor neuron protein (SMN) resulting in death of alpha-motor neurons, yet it is unclear why these cells are preferentially affected by a reduction in this ubiquitously-expressed protein. In mouse models of SMA, one of the earliest events detected is defects at the neuromuscular junction (NMJ). Although NMJs are established at a normal frequency, there are structural as well as functional perturbations and a lack of maturation of the primitive synapse. These early defects are followed by loss of the NMJ, denervation of the muscle and onset of muscle atrophy. In this review, we discuss our current understanding of the contribution of NMJ dysfunction in SMA disease pathogenesis, and also provide an overview of therapies currently under preclinical and clinical development for treatment of SMA.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.004

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 head0.039
GPT teacher head0.358
Teacher spread0.319 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations54
Published2013
Admission routes2
Has abstractyes

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