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The effect of aging and calorie restriction on mitochondrial morphology and dynamic in oxidative and glycolytic skeletal muscles

2018· article· en· W3009134405 on OpenAlexafffundabout
Julie Faitg, Jean Philippe Leduc‐Gaudet, Olivier Reynaud, Gilles Gouspillou

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcGill UniversityChristie (Canada)Université du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSarcopeniaMitophagyCalorie restrictionSkeletal muscleMitochondrionOxidative phosphorylationInternal medicineEndocrinologyBiologyBioenergeticsOxidative stressGlycolysisAgeingCell biologyMedicineMetabolismBiochemistryAutophagyApoptosis

Abstract

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With aging, skeletal muscles progressively loose mass and function, a biological process known as sarcopenia. Recent data indicate that accumulation of mitochondrial dysfunction plays a major role in the development of sarcopenia and also suggested that alterations in mitophagy and mitochondrial dynamics/morphology may represent mechanisms causing this accumulation of dysfunctional mitochondria in the aged muscles. One most efficient lifestyle and non‐pharmacological intervention to attenuate sarcopenia in rodents is calorie restriction (CR). The hypothesis currently put forward to explain the protective and “anti‐aging” effects of caloric restriction is that CR would attenuate the effects of aging on mitochondrial function. However, the specific effects of CR on many aspects of mitochondrial biology, especially in the aged muscle, remain unclear or unknown. In particular, the effects of aging and CR on skeletal muscle mitochondrial morphology and dynamics, which are known to impact mitochondrial function, remain largely under investigated. The objectives of the present study were (i) to investigate the effects of aging on mitochondrial morphology and dynamic in glycolytic and oxidative skeletal muscles, define whether CR can attenuate the effects of aging on mitochondrial morphology and (iii) determine the effects of CR and aging on the muscular phenotype. Three groups of male Sprague Dawley rats were studied: 1‐adult (9‐month‐old) ad‐libitum fed (AL) (A‐AL); 2‐old (21‐month‐old) AL fed (O‐AL) and; 3‐old (21‐month‐old) calorie restricted (CR; 40% calorie restricted for 13 months; O‐CR) rats. The morphology of SubSarcolemmal (SS) and InterMyoFibrillar (IMF) mitochondria was assessed using a 2‐dimensional transmission electron microscopy approach (TEM) in the oxidative soleus (SOL) and glycolytic white gastrocnemius (WG) muscles. Westernblot analyses were performed to assess the contents of proteins regulating mitochondrial dynamics (fusion protein: Mfn2; Fission proteins: Drp1 and Fis1) in the SOL and WG. CR attenuated the impact of aging on the muscle mass to body weight ratio (a marker of sarcopenia). The SOL of O‐AL rats displayed fragmented SS and IMF mitochondria vs A‐AL rats. CR attenuated this aging‐related fragmentation of SS and IMF mitochondria in the SOL. The WG of O‐AL rats displayed enlarged SS mitochondria and more complex and branched IMF mitochondria vs their younger counterparts. In the WG, CR did not attenuate the effects of aging on mitochondrial morphology. In the SOL, the contents of Drp1 and Fis1 were higher in O‐AL vs A‐AL rats. When compared to the SOL of Y‐AL rats, O‐CR rats displayed higher contents of both Drp1 and Mfn2. In the WG, the content of Mfn2 and Drp1 was higher in O‐AL vs A‐AL rats. No difference between O‐CR and A‐AL rats were observed for proteins regulating mitochondrial dynamics. Taken altogether, our results indicate that the effects of aging and calorie restriction on mitochondrial morphology and dynamic are complex and muscle‐specific. Support or Funding Information This work was funded by grants from the Natural Sciences and Engineering Council of Canada (NSERC; #RGPIN‐2014‐04668), the Quebec Research Network on Aging and the FQRS (FRQS‐35184) awarded to Gilles Gouspillou. Jean‐Philippe Leduc‐Gaudet is supported by a CIHR Vanier Doctoral Scholarship. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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 score0.002

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 head0.006
GPT teacher head0.245
Teacher spread0.240 · 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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Citations0
Published2018
Admission routes3
Has abstractyes

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