MétaCan
Menu
Back to cohort
Record W4416439290 · doi:10.1113/ep093041

Mitophagy in skeletal muscle: Impact of ageing, exercise and disuse

2025· article· en· W4416439290 on OpenAlexafffund
Anastasiya Kuznyetsova, David A. Hood

Bibliographic record

VenueExperimental Physiology · 2025
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsYork University
FundersCanadian Institutes of Health Research
KeywordsMitophagySkeletal muscleMitochondrionOrganelleLysosome

Abstract

fetched live from OpenAlex

Skeletal muscle plays an important role in whole-body health, quality of life and regulation of metabolism. The maintenance of a healthy mitochondrial pool is imperative for the preservation of skeletal muscle quality and is mediated through mitochondrial quality control consisting of mitochondrial turnover mediated by a balance between organelle synthesis and degradation. The selective tagging and removal of dysfunctional mitochondria is essential for maintaining mitochondrial quality control and is termed mitophagy. The mechanisms of the initial stages of mitophagy involving the recognition and tagging of mitochondria within skeletal muscle are well established, but our understanding of the terminal step involving organelle degradation mediated via lysosomes is in its infancy. An assessment of the proteolytic functions to facilitate the removal and breakdown of dysfunctional mitochondria is crucial for our understanding of the mechanisms of mitophagy, which is essential for maintaining skeletal muscle health. The aim of this review is to address the current knowledge surrounding mitophagy and lysosomal function, alongside distinct physiological conditions, such as ageing, exercise and disuse, that have varying effects on mitophagy and lysosomal adaptations within skeletal muscle.

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 score0.801
Threshold uncertainty score0.394

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 head0.008
GPT teacher head0.334
Teacher spread0.327 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueExperimental PhysiologySame topicAutophagy in Disease and TherapyFrench-language works237,207