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The Effect of Chronic Contractile Activity and Retinoic Acid on Mitochondrial Turnover in C2C12 Myotubes

2019· article· en· W3174868402 on OpenAlexaffabout
Avigail T. Erlich, Nemanja Dovijarski, David A. Hood

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsYork University
Fundersnot available
KeywordsMyogenesisMitochondrial biogenesisRetinoic acidMitochondrionC2C12AutophagyCell biologyMyocyteRetinoic acid receptorMitochondrial DNAProtein subunitMitochondrial myopathyMitophagyBiologyChemistryBiochemistryGeneApoptosis

Abstract

fetched live from OpenAlex

Mitochondrial turnover is necessary for the optimization and maintenance of a healthy pool of functional organelles, able to meet the metabolic needs of the muscle cell. Exercise is known to improve mitochondrial turnover by activating both mitochondrial biogenesis and mitochondrial‐specific autophagy, known as mitophagy. Moreover, research in adipocytes and liver tissue has shown the potential of the dietary supplement retinoic acid to activate mitochondrial biogenesis as well. Retinoids have also been shown to be effective in activating autophagy in cancer cells. However, the combined effect of retinoic acid isomers and exercise in facilitating mitochondrial turnover has not been described. The purpose of this project was to evaluate the effect of retinoic acid (RA) isomers combined with exercise on muscle mitochondrial turnover. Mouse C2C12 myoblasts were plated on 6‐well plates and allowed to differentiate into myotubes. Myotubes were then treated with either vehicle (DMSO), or the retinoic acid (RA) isomers 9‐cis RA or All‐trans RA (ATRA) in the absence or presence of electrical stimulation to elicit Chronic Contractile Activity (CCA; 4days, 3hrs/day). Sample collection took place 21h after the fourth day. Mitochondrial biogenesis was assessed by examining the protein content of PGC‐1α, as well as nuclear and mitochondrially‐encoded mitochondrial proteins. CCA led to a 3‐fold increase in COX subunit IV expression, as well as a 2‐fold increase in PGC‐1α. The mtDNA‐encoded COX subunit I was modestly changed by CCA, but increased 2‐fold in response to 9cis‐RA or ATRA treatment. These RA isomers also increased PGC‐1α by 3‐fold, but had no significant impact on COX IV expression. When RA isomers were combined with CCA, no additive or synergistic effects were observed. To evaluate mitochondrial degradation, we examined several lysosomal and mitophagy proteins. While autophagy proteins Beclin and p62 showed no changes with CCA or RA treatment, the LC3II to LC3I ratio was reduced 2‐fold with CCA, suggesting an enhanced clearance of autophagosomes. RA isomers had no effect on this ratio. The lysosomal fusion protein Lamp1 was increased 1.8‐fold by ATRA, but not further by CCA. Our data suggest that while RA isomers and CCA both promote mitochondrial biogenesis, RA appears to target mitochondrially‐encoded proteins, while CCA appears to have greater effects on the expression of target nuclear‐encoded proteins. CCA also may serve as a stimulus for the clearance of autophagosomes containing damaged cargo. The lack of synergy among these pathways suggests that they operate independently to stimulate mitochondrial turnover. Support or Funding Information Supported by NSERC, Canada This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.005
GPT teacher head0.229
Teacher spread0.225 · 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
Published2019
Admission routes2
Has abstractyes

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