EFFECTS OF DIETARY MANIPULATION ON MUSCLE GLYCOGEN AND SARCOPLASMIC RETICULUM FUNCTION DURING PROLONGED EXERCISE
Bibliographic record
Abstract
The purpose of this study was to investigate the hypothesis that exercise performed during low glycogen levels in associated with an increased depression in sarcoplasmic reticulum (SR) function. To investigate this hypothesis, untrained males (5) and females (5), with a peak aerobic power (VO2 peak) of 3.5 ± 0.1 and 2.4 ± 0.1 L/min, respectively ( ± SE), cycled (65% VO2 peak), both while on a low carbohydrate (LO CHO) (23 ± 0.5% of energy from CHO) and normal diet (Normal CHO) (53 ± 2.2% of energy from CHO) for 4 days following glycogen depleting exercise. Resting muscle glycogen contents in vastus lateralis (378 ± 12 vs 259 ± 8 glucosyl units kg dry wt−1) were higher (p < 0.05) and times to fatigue (110 ± 37 vs 85 ± 24 min) were longer with Normal CHO. Maximal Ca2+-ATPase activities in homogenates, although higher (P < 0.05) at rest in LO CHO (131 ± 6 vs 119 ± 5 μmol.min g protein −1) were not different at fatigue. Homogenate based Ca2+-uptake, (μmol.min−1-1.g protein) were similar between diets at rest (351 ± 44 vs 369 ± 49). but decreased more rapidly (P < 0.05) on LO CHO compared to Normal CHO (304 ± 44 vs 369 ± 169 ± 29). These results demonstrate that the effects of dietary manipulation on SR function is specific to both the property measured (Ca2+-ATPase activity vs Ca2+-uptake) and the condition (rest vs exercise). Supported by NSERC (Canada)
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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 | 0.001 |
| 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".