PROLONGED EXERCISE AND NA+-K+-ATPASE ACTIVITY IN RAT SKELETAL MUSCLE
Bibliographic record
Abstract
The purpose of this study was to investigate the hypothesis that an acute bout of prolonged running exercise would result in a depression of maximal Na+-K+-ATPase activity in rat locomotor muscles, an effect that would be reversed during active recovery. Female Sprague Dawley rats (291 ± 9.8 gm, ± SE, n = 15), either ran on a treadmill (RUN) at 21m/min and 8% grade until fatigue or to a maximum of 2 h, acted as control (CON) or exercised for an additional 45 min at 10 m/min and % grade (REC). Tissue obtained from the soleus (SOL), red (RV) and white (WV) vastus lateralis was extracted and measured for Na+-K+-ATPase activity using the artificial substrate, 3-0-methylfluorescein (3-0MF). Although differences in 3-0MF were observed between tissue types (SOL > RV > WV; P < 0.05), the 1.7, 15.0 and 9.1% reductions observed for SOL, RV and WV, respectively in RUN were not significant (P > 0.05). Similarly not differences (P > 0.05) were observed between CON and REC regardless of tissue type. Values ± SE (μmol/h/mg protein) It is concluded that although the low intensity aerobic exercise induced a trend towards reductions in Na+-K+-ATPase activity, indicating possible structural alterations in the enzyme, the effects were not significant regardless of the fiber type characteristics of the locomotor muscles examined.Table
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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".