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Parkin‐Mediated Mitophagy in Skeletal Muscle with Endurance Training

2017· article· en· W4389017331 on OpenAlexafffund
Christopher S. Chen, David A. Hood

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMitophagyParkinMitochondrial biogenesisMitochondrionSkeletal muscleEndurance trainingChemistryEndocrinologyUbiquitin ligaseCell biologyInternal medicineMuscle atrophyBiologyUbiquitinBiochemistryAutophagyMedicineApoptosis

Abstract

fetched live from OpenAlex

Skeletal muscle is a highly adaptive tissue that is responsive to environmental cues. With exercise training, intracellular signaling pathways are activated that promote the synthesis of mitochondria, a process termed biogenesis. The increased number of mitochondria allows for efficient substrate utilization and greater muscle endurance. However, little is known regarding mitochondrial turnover with training. Mitophagy is a process involved in the specific elimination of dysfunctional mitochondria. It is unclear if mitophagy undergoes adaptive responses in muscle with training. Parkin is a ubiquitin ligase involved in neuronal mitophagy but its role in muscle remains inconclusive. To investigate Parkin's role in muscle with exercise training, we subjected 3‐month‐old wild‐type (WT) and Parkin knock out (KO) mice to a 6‐week voluntary wheel running training paradigm. Overall, WT mice ran 28% longer than KO mice in average total running distance. Endurance training elicited 1.5‐ and 1.4‐fold increases in whole muscle mitochondrial content in WT and KO mice, respectively. Furthermore, subunits I and IV of cytochrome c oxidase and mitochondrial transcription factor A were augmented on intermyofibrillar mitochondria (IMF) isolated from hindlimb muscles of trained WT animals. This was supported by a 1.7‐fold increase in State 3 (active) IMF respiration in trained WT mice. Following 6 weeks of training, both Parkin KO and WT mice exhibited 2‐fold increases in running performance during an exhaustive bout of exercise, compared to their untrained counterparts. Interestingly, basal mitophagy flux and mitochondrial localization of LC3II were augmented by 1.5‐fold in muscle of trained WT mice. However, this increase was abolished in KO animals. Acute exercise‐induced a 2‐fold increase in LC3‐II flux in untrained WT mice, which was attenuated to a 1.6‐fold increase with training. In contrast, acute exercise decreased mitophagy flux in untrained and trained KO muscle by 10–20%. Our findings indicate that the localization of autophagy proteins to mitochondria is increased in trained muscle, but is reduced when Parkin is absent. However, during exercise‐induced mitophagy, an attenuation of autophagy proteins localized on mitochondria occurs, which is partly Parkin‐mediated. With training, exercise‐induced mitophagic signaling is reduced, likely due to enhanced mitochondrial biogenesis, leading to improved endurance. Support or Funding Information Supported by NSERC.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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 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

Citations0
Published2017
Admission routes2
Has abstractyes

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