Endurance training ameliorates the metabolic and performance characteristics of circadian<i>Clock</i>mutant mice
Bibliographic record
Abstract
Circadian locomotor output cycles kaput (CLOCK) is a nuclear transcription factor that is a component of the central autoregulatory feedback loop that governs the generation of biological rhythms. Homozygous Clock mutant mice contain a truncated CLOCK(Δ19) protein within somatic cells, subsequently causing an impaired ability to rhythmically transactivate circadian genes. The present study sought to investigate whether the Clock mutation affects mitochondrial physiology within skeletal muscle, as well as the responsiveness of these mutant animals to adapt to a chronic voluntary endurance training protocol. Within muscle, Clock mutant mice displayed 44% and 45% reductions in peroxisome proliferator-activated receptor-γ coactivator 1-α (PGC-1α) and mitochondrial transcription factor-A protein content, respectively, and an accompanying 16% decrease in mitochondrial content, as determined by cytochrome c oxidase enzyme activity. These decrements contributed to a 50% decrease in exercise tolerance in Clock mutant mice. Interestingly, the Clock mutation did not appear to alter subsarcolemmal or intermyofibrillar mitochondrial respiration within muscle or systemic glucose tolerance. Daily locomotor activity levels were similar between wild-type and Clock mutant mice throughout the training protocol. Endurance training ameliorated the decrease in PGC-1α protein expression and mitochondrial content in the Clock mutant mice, eliciting a 2.9-fold improvement in exercise tolerance. Thus our data suggest that a functional CLOCK protein is essential to ensure the maintenance of mitochondrial content within muscle although the absence of a functional CLOCK protein does not impair the ability of animals to adapt to chronic exercise.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".