Comparative effects of a low-carbohydrate diet and exercise plus a low-carbohydrate diet on muscle sarcoplasmic reticulum responses in males
Bibliographic record
Abstract
We employed a glycogen-depleting session of exercise followed by a low-carbohydrate (CHO) diet to investigate modifications that occur in muscle sarcoplasmic reticulum (SR) Ca(2+)-cycling properties compared with low-CHO diet alone. SR properties were assessed in nine untrained males [peak aerobic power (Vo(2 peak)) = 43.6 +/- 2.6 (SE) ml.kg(-1).min(-1)] during prolonged cycle exercise to fatigue performed at approximately 58% Vo(2 peak) after 4 days of low-CHO diet (Lo CHO) and after glycogen-depleting exercise plus 4 days of low-CHO (Ex+Lo CHO). Compared with Lo CHO, Ex+Lo CHO resulted in 12% lower (P < 0.05) resting maximal Ca(2+)-ATPase activity (V(max) = 174 +/- 12 vs. 153 +/- 10 micromol.g protein(-1).min(-1)) and smaller reduction in V(max) induced during exercise. A similar effect was observed for Ca(2+) uptake. The Hill coefficient, defined as slope of the relationship between cytosolic free Ca(2+) concentration and Ca(2+)-ATPase activity, was higher (P < 0.05) at rest (2.07 +/- 0.15 vs. 1.90 +/- 0.10) with Ex+Lo CHO, an effect that persisted throughout the exercise. The coupling ratio, defined as the ratio of Ca(2+) uptake to V(max), was 23-30% elevated (P < 0.05) at rest and during the first 60 min of exercise with Ex+Lo CHO. The approximately 27 and 34% reductions (P < 0.05) in phase 1 and phase 2 Ca(2+) release, respectively, observed during exercise with Lo CHO were not altered by Ex+Lo CHO. These results indicate that when prolonged exercise precedes a short-term Lo CHO diet, Ca(2+) sequestration properties and efficiency are improved compared with those during Lo CHO alone.
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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".