Glucose supplements increase human muscle in vitro Na<sup>+</sup>-K<sup>+</sup>-ATPase activity during prolonged exercise
Bibliographic record
Abstract
Regulation of maximal Na(+)-K(+)-ATPase activity in vastus lateralis muscle was investigated in response to prolonged exercise with (G) and without (NG) oral glucose supplements. Fifteen untrained volunteers (14 males and 1 female) with a peak aerobic power (Vo(2)(peak)) of 44.8 +/- 1.9 ml.kg(-1).min(-1); mean +/- SE cycled at approximately 57% Vo(2)(peak) to fatigue during both NG (artificial sweeteners) and G (6.13 +/- 0.09% glucose) in randomized order. Consumption of beverage began at 30 min and continued every 15 min until fatigue. Time to fatigue was increased (P < 0.05) in G compared with NG (137 +/- 7 vs. 115 +/- 6 min). Maximal Na(+)-K(+)-ATPase activity (V(max)) as measured by the 3-O-methylfluorescein phosphatase assay (nmol.mg(-1).h(-1)) was not different between conditions prior to exercise (85.2 +/- 3.3 or 86.0 +/- 3.9), at 30 min (91.4 +/- 4.7 vs. 91.9 +/- 4.1) and at fatigue (92.8 +/- 4.3 vs. 100 +/- 5.0) but was higher (P < 0.05) in G at 90 min (86.7 +/- 4.2 vs. 109 +/- 4.1). Na(+)-K(+)-ATPase content (beta(max)) measured by the vanadate facilitated [(3)H]ouabain-binding technique (pmol/g wet wt) although elevated (P < 0.05) by exercise (0<30, 90, and fatigue) was not different between NG and G. At 60 and 90 min of exercise, blood glucose was higher (P < 0.05) in G compared with NG. The G condition also resulted in higher (P < 0.05) serum insulin at similar time points to glucose and lower (P < 0.05) plasma epinephrine and norepinephrine at 90 min of exercise and at fatigue. These results suggest that G results in an increase in V(max) by mechanisms that are unclear.
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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".