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Record W4405038129 · doi:10.1177/22143602241288036

Peripheral defects precede neuromuscular pathology in the <i> Smn <sup>2B/−</sup> </i> mouse model of spinal muscular atrophy

2024· article· en· W4405038129 on OpenAlexaff
Aoife Reilly, Ariane Beauvais, Majd Al-Aarg, Rebecca Yaworski, Emma R Sutton, Simon Thebault, Rashmi Kothary

Bibliographic record

VenueJournal of Neuromuscular Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsSpinal muscular atrophyMedicinePathologyPeripheralAtrophyAnatomyNeuroscienceBiologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Background: Spinal Muscular Atrophy (SMA) is an inherited neurodegenerative disease caused by the loss or mutation of the survival motor neuron 1 (SMN1 ) gene. Though classically regarded as a motor neuron disorder, reports are increasingly describing the involvement of non-neuronal organs in SMA. The Smn 2B/− mouse is a model of SMA that displays a peripheral phenotype including metabolic defects. Objective: Here, we characterized several neuronal and non-neuronal defects in the Smn 2B/− mouse throughout development to better understand the progression of the disease and the relationship between tissue defects. Methods: We collected tissues from mutant Smn 2B/− mice and Smn 2B/+ littermate controls at several timepoints and evaluated spinal cord motor neuron loss, neuromuscular junction pathology, muscle fiber size, liver steatosis, and pancreatic islet cell composition. Blood glucose and plasma neurofilament light chain (NfL) were also measured. Results: Smn 2B/− mice displayed several peripheral defects prior to motor neuron loss and showed early elevations in neurofilament light chain (NfL) protein. Conclusions: This work provides an important framework for guiding future research with this mouse model and demonstrates that the liver may be an early target in the development 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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.292
Teacher spread0.270 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

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