Effects of progressive exercise and hypoxia on human muscle sarcoplasmic reticulum function
Bibliographic record
Abstract
This study examined the effects of progressive exercise to fatigue in normoxia (N) on muscle sarcoplasmic reticulum (SR) Ca(2+) cycling and whether alterations in SR Ca(2+) cycling are related to the blunted peak mechanical power output (PO(peak)) and peak oxygen consumption (Vo(2 peak)) observed during progressive exercise in hypoxia (H). Nine untrained men (20.7 +/- 0.42 yr) performed progressive cycle exercise to fatigue on two occasions, namely during N (inspired oxygen fraction = 0.21) and during H (inspired oxygen fraction = 0.14). Tissue extracted from the vastus lateralis before exercise and at power output corresponding to 50 and 70% of Vo(2 peak) (as determined during N) and at fatigue was used to investigate changes in homogenate SR Ca(2+)-cycling properties. Exercise in H compared with N resulted in a 19 and 21% lower (P < 0.05) PO(peak) and Vo(2 peak), respectively. During progressive exercise in N, Ca(2+)-ATPase kinetics, as determined by maximal activity, the Hill coefficient, and the Ca(2+) concentration at one-half maximal activity were not altered. However, reductions with exercise in N were noted in Ca(2+) uptake (before exercise = 357 +/- 29 micromol x min(-1) x g protein(-1); at fatigue = 306 +/- 26 micromol x min(-1) x g protein(-1); P < 0.05) when measured at free Ca(2+) concentration of 2 microM and in phase 2 Ca(2+) release (before exercise = 716 +/- 33 micromol x min(-1) x g protein(-1); at fatigue = 500 +/- 53 micromol x min(-1) x g protein(-1); P < 0.05) when measured in vitro in whole muscle homogenates. No differences were noted between N and H conditions at comparable power output or at fatigue. It is concluded that, although structural changes in SR Ca(2+)-cycling proteins may explain fatigue during progressive exercise in N, they cannot explain the lower PO(peak) and Vo(2 peak) observed during H.
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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) | 0.001 | 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".