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Record W4407148244 · doi:10.1002/jcsm.13701

Skeletal Muscle Mitochondrial and Autophagic Dysregulation Are Modifiable in Spinal Muscular Atrophy

2025· article· en· W4407148244 on OpenAlexafffund
Andrew I. Mikhail, Sean Y. Ng, Donald Xhuti, Jennifer Chhor, Marc‐Olivier Deguise, Yves De Repentigny, Joshua P. Nederveen, Rashmi Kothary, Mark A. Tarnopolsky, Vladimir Ljubicic

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsUniversity of OttawaOttawa HospitalChildren's Hospital of Eastern OntarioMcMaster University Medical CentreMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchOntario Ministry of Economic Development, Job Creation and TradeMinistero dello Sviluppo EconomicoCanada Research ChairsMuscular Dystrophy Canada
KeywordsSkeletal muscleSpinal muscular atrophySMA*MedicineMitochondrionAutophagyMitochondrial biogenesisMuscle atrophyMyogenesisEndocrinologyInternal medicineBiologyCell biologyDiseaseBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT Background Spinal muscular atrophy (SMA) is a health‐ and life‐limiting neuromuscular disorder. Although varying degrees of mitochondrial abnormalities have been documented in SMA skeletal muscle, the influence of disease progression on pathways that govern organelle turnover and dynamics are poorly understood. Thus, the purpose of this study was to investigate skeletal muscle mitochondria during SMA disease progression and determine the effects of therapeutic modalities on organelle biology. Methods Smn 2B/+ and Smn 2B/− severe SMA‐like mice were used to investigate mitochondrial turnover and dynamics signalling. Muscles were analysed at postnatal day 9 (P9), P13 or P21 to address pre‐symptomatic, early symptomatic and late symptomatic periods of the disorder. Additionally, we utilized an acute dose of exercise and urolithin A (UA) to stimulate organelle remodelling in skeletal muscle of SMA mice in vivo and in SMA patient‐derived myotubes in vitro, respectively. Results Smn 2B/+ and Smn 2B/− mice demonstrated similar levels of muscle mitochondrial oxidative phosphorylation (OxPhos) proteins throughout disease progression. In contrast, at P21 the mRNA levels of upstream factors important for the transcription of mitochondrial genes encoded by the nuclear and mitochondrial DNA, including nuclear respiratory factor 2 , sirtuin 1 , mitochondrial transcription factor A and tumour protein 53 , were upregulated (+31%–195%, p < 0.05) in Smn 2B/− mice relative to Smn 2B/+ . Early and late symptomatic skeletal muscle from SMA‐like mice showed greater autophagosome formation as denoted by more phosphorylated autophagy related 16‐like 1 (p‐ATG16L1 Ser278 ) puncta (+60%–80%, p < 0.05), along with a build‐up of molecules indicative of damaged mitochondria such as BCL2 interacting protein 3, Parkin and PTEN‐induced kinase 1 (+100%–195%, p < 0.05). Furthermore, we observed a fragmented mitochondrial phenotype at P21 that was concomitant with abnormal splicing of Optic atrophy 1 transcripts (−53%, p < 0.05). A single dose of exercise augmented the expression of citrate synthase (+43%, p < 0.05) and corrected the over‐assembly of autophagosomes (−64%, p < 0.05). In patient muscle cells, UA treatment stimulated autophagic flux, increased the expression of OxPhos proteins (+15%–47%, p < 0.05) and improved maximal oxygen consumption (+84%, p < 0.05). Conclusions Abnormal skeletal muscle mitochondrial turnover and dynamics are associated with disease progression in Smn 2B/− mice despite compensatory elevations in upstream factors important for organelle synthesis and recycling. Exercise and UA enhance mitochondrial health in skeletal muscle, which indicates that lifestyle‐based and pharmacological interventions may be effective countermeasures targeting the organelle for therapeutic remodelling in 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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.580

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 head0.012
GPT teacher head0.289
Teacher spread0.278 · 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 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

Citations6
Published2025
Admission routes2
Has abstractyes

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