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Record W4206964923 · doi:10.1113/jp282173

Time‐dependent changes in autophagy, mitophagy and lysosomes in skeletal muscle during denervation‐induced disuse

2022· article· en· W4206964923 on OpenAlexafffund
Matthew Triolo, Mikhaela Slavin, Neushaw Moradi, David A. Hood

Bibliographic record

VenueThe Journal of Physiology · 2022
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMitophagyAutophagyLysosomeDenervationCell biologyMitochondrionMuscle atrophyTFEBSkeletal muscleBiologyFlux (metallurgy)EndocrinologyInternal medicineVacuoleAtrophyChemistryBiochemistryMedicineCytoplasmEnzymeApoptosis

Abstract

fetched live from OpenAlex

Deficits in skeletal muscle mitochondrial content and quality are observed following denervation-atrophy. This is due to alterations in the biogenesis of new mitochondria as well as their degradation via mitophagy. The regulation of autophagy and mitophagy over the course of denervation (Den) remains unknown. Further, the time-dependent changes in lysosome content, the end-stage organelle for mitophagy, remain unexplored. Here, we studied autophagic as well as mitophagic pre-lysosomal flux in subsarcolemmal (SS) and intermyofibrillar (IMF) mitochondria from rat muscle subjected to Den for 1, 3 or 7 days. We also assessed flux at 1 day post-denervation in transgenic mt-keima mice. Markers of mitochondrial content were reduced at 7 days following Den, and Den further resulted in rapid decrements in mitochondrial respiration, along with increased ROS emission. Pre-lysosomal autophagy flux was upregulated at 1 and 3 days post-Den but was reduced compared to time-matched sham-operated controls at 7 days post-Den. Similarly, pre-lysosomal mitophagy flux was enhanced in SS mitochondria as early as 1 and 3 days of Den but decreased in both SS and IMF subfractions following 7 days of Den. Lysosome protein content and transcriptional regulators TFEB and TFE3 were progressively enhanced with Den, an adaptation designed to enhance autophagic capacity. However, evidence for lysosome dysfunction was apparent by 7 days, which may limit degradation capacity. This may contribute to an inability to clear dysfunctional mitochondria and increased ROS signalling, thereby accelerating muscle atrophy. Thus, therapeutic targeting of lysosome function may help to maintain autophagy and muscle health during conditions of muscle disuse or denervation. KEY POINTS: Denervation is an experimental model of peripheral neuropathies as well as muscle disuse, and it helps us understand some aspects of the sarcopenia of ageing. Muscle disuse is associated with reduced mitochondrial content and function, leading to metabolic impairments within the tissue. Although the processes that regulate mitochondrial biogenesis are understood, those that govern mitochondrial breakdown (i.e. mitophagy) are not well characterized in this context. Autophagy and mitophagy flux, measured up to the point of the lysosome (pre-lysosomal flux rates), were increased in the early stages of denervation, along with mitochondrial dysfunction, but were reduced at later time points when the degree of muscle atrophy was highest. Denervation led to progressive increases in lysosomal proteins to accommodate mitophagy flux, yet evidence for lysosomal impairment at later stages may limit the removal of dysfunctional mitochondria, stimulate reactive oxygen species signalling, and reduce muscle health as denervation time progresses.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.013
GPT teacher head0.263
Teacher spread0.250 · 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

Citations54
Published2022
Admission routes2
Has abstractyes

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