Endurance training induces muscle-specific changes in mitochondrial function in skinned muscle fibers
Bibliographic record
Abstract
The present study was conducted to investigate the potential role of changes in the apparent K(m) for ADP and in the functional coupling of the creatine (Cr) kinase (CK) system (CK efficiency) in explaining the tighter integration of ATP supply and demand after exercise training. Mitochondrial function was assessed in saponin-skinned fibers from the soleus and the deep red portion of the medial gastrocnemius isolated from trained (T; treadmill running, 5 days/wk, 4 wk) and control (C) female Sprague-Dawley rats. In the soleus, V(max) in the presence of 1 mM ADP was increased by 21% after training (5.9 +/- 0.2 vs. 4.7 +/- 0.4 nmol O(2). min(-1). mg dry wt(-1), P < 0.05). This was accompanied by no change in the K(m) for ADP measured in the absence of Cr (146 +/- 9 vs. 149 +/- 13 microM in T and C, respectively) and in its presence (50 +/- 4 vs. 48 +/- 6 microM in T and C, respectively) and in CK efficiency [K(m) (+Cr)/K(m) (-Cr)]. In contrast, in the red gastrocnemius, training decreased, by 35%, the apparent K(m) for ADP in the absence (83 +/- 5 vs. 129 +/- 9 microM, P < 0.01) of Cr, without affecting V(max) (6.2 +/- 0.4 vs. 6.7 +/- 0.3 nmol O(2). min(-1). mg dry wt(-1) in T and C, respectively) and CK efficiency. These results thus suggest that training induces muscle-specific adaptations of mitochondrial function and that a change in the intrinsic sensitivity of mitochondria to ADP could at least partly explain the tighter integration of ATP and demand commonly observed after training.
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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".