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Activation of the Nrf-2 pathway improves the mitochondrial phenotype in skeletal muscle cells

2024· article· en· W4398175518 on OpenAlexaffabout
Sabrina Champsi, David A. Hood

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsYork University
Fundersnot available
KeywordsSkeletal musclePhenotypeCell biologyBiologyMitochondrionMyocyteGeneticsAnatomyGene

Abstract

fetched live from OpenAlex

Aging muscle displays a reduction in mitochondrial content, along with elevated reactive oxygen species (ROS) emission and reduced levels of antioxidant enzymes. These characteristics enhance tissue susceptibility to oxidative damage, facilitating sub-optimal cellular metabolism and subsequent muscle atrophy. While these perturbations to metabolic homeostasis are a natural course of the aging process, there has been ongoing research investigating how to implement interventions to reduce this decline in muscle health. Regular exercise is one possible treatment modality, however this may be unsuitable for some populations who are unable to participate due to their health status. The objective of this study was to examine the activation of the Nrf-2 pathway using the nutraceutical Sulforaphane (SFN) and evaluate its role as a potential exercise mimetic. We hypothesized that SFN would act through similar pathways activated with chronic exercise to improve mitochondrial content, respiration, and ROS emission. To address our objective, C2C12 myotubes were treated with SFN for various timepoints basally, and in the presence of the Complex-I inhibitor rotenone to induce oxidative stress. Western blotting revealed an 8-fold increase in Nrf-2 nuclear localization following 24hrs of SFN treatment, which subsequently led to the upregulation of antioxidant enzymes NQO1, Heme Oxygenase-1, catalase, glutathione reductase and Glucose-6-Phosphate Dehydrogenase by 2-to 3-fold. These protein changes, were accompanied by dramatic reductions in both total cellular and mitochondrial ROS emission with SFN, detected with CellROX Green and MitoSOX Red respectively. Interestingly, this led to an increase in mitochondrial membrane potential, detected via MitoTracker Red (MTR), despite rotenone-induced oxidative stress. Western blotting revealed TFAM upregulation at 24hrs, suggesting an increase in mitochondrial DNA (mtDNA) replication and transcription. This was corroborated by an increase in COX subunit I protein, a mitochondrially-encoded subunit of cytochrome c oxidase, as well as MitoTracker Green and MTR staining by 48hrs. Mitochondrial respiration was evaluated using Seahorse analysis, demonstrating a marked increase in ATP production as well as basal and maximal respiration. Together these data suggest that activation of the Nrf-2 pathway via SFN may lead to adaptations similar to chronic exercise. Additionally, SFN may have applications in disorders characterized by mitochondrial loss and high ROS emission. To fully elucidate the precise mechanisms underlying this agent, SFN will be combined with chronic contractile activity to determine if these two interventions operate through independent pathways. This work was supported by funds from the Natural Science and Engineering Research Council (NSERC). Sabrina Champsi is the recipient of the NSERC Alexander Graham Bell Canada Graduate Scholarship-Master’s (CGS-M). David A. Hood is the holder of a Canadian Research Chair in Cell Physiology. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.149

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 head0.011
GPT teacher head0.255
Teacher spread0.243 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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