Differential regulation of myofibrillar and mitochondrial protein synthesis following acute endurance exercise (702.3)
Bibliographic record
Abstract
Endurance exercise leads to rapid transcriptional‐ and translational‐mediated remodeling in skeletal muscle. The purpose of this study was to investigate the role of the mechanistic target of rapamycin (mTORC1) in the molecular regulation of myofibrillar and mitochondrial protein synthesis in the first 6h after endurance exercise. Female C57BL/6 mice performed one‐hour of treadmill running after administration of rapamycin or vehicle. A flooding dose of L‐[ring‐13C6]phenylalanine was administered via IP injection and blood and gastrocnemius muscle collected 0.5, 3 and 6h post exercise and in a separate, non‐exercising control group (n=4/time). Skeletal muscle was analyzed for phenylalanine incorporation into the myofibrillar and mitochondrial pools via GC‐C‐IRMS. Myofibrillar fractional synthesis rate (FSR) increased rapidly in the vehicle group post‐exercise and remained elevated at all post‐exercise times. Rapamycin had no effect on basal FSR, but attenuated the rise in myofibrillar protein FSR at 0.5 and 3h post exercise. Interestingly, rapamycin did not affect mitochondrial protein FSR, which was increased at 3h and 6h post exercise in both groups. Taken together our data suggest that the initial increase (0‐3h) in myofibrillar FSR after endurance exercise is mTORC1 mediated, whereas at latter time points (3‐6h) myofibrillar and mitochondrial FSR are both stimulated, independent of mTORC1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".