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Record W4404135320 · doi:10.1016/j.ebiom.2024.105444

Liver SMN restoration rescues the Smn mouse model of spinal muscular atrophy

2024· article· en· W4404135320 on OpenAlexafffundabout
Emma R Sutton, Ariane Beauvais, Rebecca Yaworski, Yves De Repentigny, Aoife Reilly, Monique Marylin Alves de Almeida, Marc‐Olivier Deguise, Kathy L. Poulin, Robin J. Parks, Bernard L. Schneider, Rashmi Kothary

Bibliographic record

VenueEBioMedicine · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersCanadian Institutes of Health ResearchUniversity of OttawaMuscular Dystrophy Association
KeywordsSpinal muscular atrophyMedicinePathologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: The liver is a key metabolic organ, acting as a hub to metabolically connect various tissues. Spinal muscular atrophy (SMA) is a neuromuscular disorder whereby patients have an increased susceptibility to developing dyslipidaemia and liver steatosis. It remains unknown whether fatty liver is due to an intrinsic or extrinsic impact of survival motor neuron (SMN) protein depletion. METHODS: mice, a model of SMA. Experiments assessed central and peripheral impacts using immunoblot, immunohistochemistry, and electron microscopy techniques. FINDINGS: mice. Fatty liver was ameliorated while key markers of liver function were also restored to normal levels. Certain peripheral pathologies were rescued including muscle size and pancreatic cell imbalance. Only a partial CNS recovery was seen using a liver therapeutic strategy alone. INTERPRETATION: mice. FUNDING: This work was funded by Muscular Dystrophy Association (USA) [grant number 963652 to R.K.]; the Canadian Institutes of Health Research [grant number PJT-186300 to R.K.].

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.360

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 head0.038
GPT teacher head0.323
Teacher spread0.285 · 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

Citations13
Published2024
Admission routes3
Has abstractyes

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