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Parkin Overexpression Attenuates Aging‐related Muscle Atrophy in Mice

2017· article· en· W4389021032 on OpenAlexaffabout
Olivier Reynaud, Jean‐Philippe Leduc‐Gaudet, Sabah N. A. Hussain, Gilles Gouspillou

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsMcGill University Health CentreChristie (Canada)Institut Universitaire de Gériatrie de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsParkinMitophagySarcopeniaMuscle atrophyAtrophyEndocrinologyInternal medicineSkeletal muscleMitochondrionPINK1BiologyMedicineAnatomyAutophagyCell biologyParkinson's diseaseApoptosisDiseaseGenetics

Abstract

fetched live from OpenAlex

One of the most significant changes associated with normal aging is a progressive loss of muscle mass and strength, a biological process termed sarcopenia. Solid experimental evidence indicates that mitochondrial dysfunctions (i) accumulate with muscle aging and (ii) are causally involved in sarcopenia. Recent findings suggest that mitophagy, the process in charge of the removal of damaged/dysfunctional mitochondria, is altered in aged muscle. Impaired mitophagy represents an attractive mechanism that could contribute to the accumulation of mitochondrial dysfunctions and sarcopenia. To test this hypothesis, we investigated the impact of Parkin overexpression in skeletal muscles of young and old mice. Parkin was overexpressed for 4 months in the tibialis anterior and gastrocnemius muscles of young (3 months old at the time of injection; 7 months old at the time of sacrifice) and late middle‐aged (18 months old at the time of injection; 22 months old at the time of sacrifice) mice using intramuscular injections of Adeno‐Associated Viruses (AAV). The expression of Parkin was driven in our viral construction by the muscle specific promoter MCK (Muscle Creatine Kinase). A control AAV, containing a sequence coding for the green fluorescent protein, was injected in the contralateral leg. As hypothesized, old control (GFP expressing) muscles displayed lower muscle weights and fiber cross‐sectional area as compared to their young adult counterparts. In both young and old animals Parkin‐overexpressing muscles displayed higher weights, fiber cross‐sectional area and complex II activity. In old mice, Parkin‐overexpressing muscles exhibited higher expression of complex II, complex IV and PGC‐1α. In line with these results, Parkin overexpressing muscles in aged animals exhibited a higher mitochondrial density on transmission electron micrographs. Old GFP expressing muscles displayed a higher 4‐hydroxynonenal content, a marker of oxidative stress, as compared to their young adult counterparts. Remarkably, Parkin overexpressing muscles in old mice had lower 4‐hydroxynonenal content vs their GFP counterparts. GFP expressing muscles of old mice also showed a higher type I collagen content as compared to their young adult counterparts, a sign of aging‐related fibrosis. Interestingly, Parkin overexpression in old mice was associated with lower type I collagen content. In conclusion, our results indicate that Parkin overexpression in old muscles attenuated sarcopenia, increased mitochondrial biogenesis and density, decreased oxidative stress and attenuated fibrosis. In young muscles, Parkin overexpression unexpectedly caused hypertrophy. Our results therefore suggest that Parkin might be an effective therapeutic target to counteract sarcopenia and to positively influence muscle function in young adults. Further studies are now required to dissect the mechanisms underlying the positive impacts of Parkin overexpression in young and aging skeletal muscles. Support or Funding Information This work was supported by the National sciences and Engineering Research Council of Canada and the Quebec Research Network on Aging

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.287
Teacher spread0.271 · 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".

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Citations1
Published2017
Admission routes2
Has abstractyes

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