p53 is necessary for the adaptive changes in cellular milieu subsequent to an acute bout of endurance exercise
Bibliographic record
Abstract
An acute bout of exercise activates downstream signaling cascades that ultimately result in mitochondrial biogenesis. In addition to inducing mitochondrial synthesis, exercise triggers the removal of damaged cellular material via autophagy and of dysfunctional mitochondria through mitophagy. Here, we investigated the necessity of p53 to the changes that transpire within the muscle upon an imposed metabolic and physiological challenge, such as a bout of endurance exercise. We randomly assigned wild-type (WT) and p53 knockout (KO) mice to control, acute exercise (AE; 90 min at 15 m/min), and AE + 3 h recovery (AER) groups and measured downstream alterations in markers of mitochondrial biogenesis, autophagy, and mitophagy. In the absence of p53, activation of p38 MAPK upon exercise was abolished, whereas CaMKII and AMP-activated protein kinase only displayed an attenuated enhancement in the AER group compared with WT mice. The translocation of peroxisome proliferator-activated receptor-γ coactivator-1 α to the nucleus was diminished and only observed in the AER group, and the subsequent increase in messenger RNA transcripts related to mitochondrial biogenesis with exercise and recovery was absent in the p53 KO animals. Whole-muscle autophagic and lysosomal markers did not respond to exercise, irrespective of the genotype of the exercised mice, with the exception of increased ubiquitination observed in KO mice with exercise. Markers of mitophagy were elevated in response to AE and AER conditions in both WT and p53 KO runners. The data suggest that p53 is important for the exercise-induced activation of mitochondrial synthesis and is integral in regulating autophagy during control conditions but not in response to exercise.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".