Assessing the mechanistic target of rapamycin complex-1 pathway in response to resistance exercise and feeding in human skeletal muscle by multiplex assay
Bibliographic record
Abstract
The mechanistic target of rapamycin complex-1 (mTORC-1) is a key nutrient and contraction-sensitive protein that regulates a pathway leading to skeletal muscle growth. Utilizing a multiplex assay, we aimed to examine the phosphorylation status of key mTORC-1-related signalling molecules in response to protein feeding and resistance exercise. Eight healthy men (age, 22.5 ± 3.1 years; mass, 80 ± 9 kg; 1-repetition maximum leg extension, 87 ± 5 kg) performed 4 sets of unilateral leg extensions until volitional failure. Immediately following the final set, all participants consumed a protein-enriched beverage. A single skeletal muscle biopsy was obtained from the vastus lateralis before (Pre) with further bilateral biopsies at 1 h (1 h exercised legs (FEDEX) and 1 h nonexercised legs (FED)) and 3 h (3 h FEDEX and 3 h FED) after drink ingestion. Phosphorylated AktSer473 was significantly elevated from Pre at 1 h FEDEX. Phosphorylated p70S6K1Thr412 was significantly increased above Pre at 1 h FEDEX and 1 h FED and was still significantly elevated at 3 h FEDEX but not 3 h FED. Phosphorylated rpS6Ser235/236 was also significantly increased above Pre at 1 h FEDEX and 1 h FED with 1 h FEDEX greater than 1 h FED. Our data highlight the utility of a multiplex assay to assess anabolic signalling molecules in response to protein feeding and resistance exercise in humans. Importantly, these changes are comparable with those as previously reported using standard immunoblotting and protein activity assays.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".