Different Timing of Changes in Mitochondrial Functions following Endurance Training
Bibliographic record
Abstract
PURPOSE: The objective of this study was to investigate the time course of the endurance training-induced adaptations in two major mitochondrial functions. METHODS: Forty rats were divided into four groups: a control group and three training groups--a 1-d training group, a 5-d training group, and a 10-d training group. The training protocol consisted of 30 min of running on a motorized treadmill (26 m·min(-1), 15% grade). Nuclear respiratory factor-1; transcription factor A, mitochondrial; superoxide dismutase-2; glutathione peroxidase-4; and citrate synthase (CS) messenger RNA levels were measured by qPCR. Mitochondrial respiration and H2O2 release were assessed using permeabilized fibers of white gastrocnemius in situ. Calculation of free radical leak was performed in two conditions where substrates were identical in both measurements. CS activity was assessed spectrophotometrically. RESULTS: An early time-dependent modulation in messenger RNA levels was observed with training: nuclear respiratory factor-1 and superoxide dismutase-2 levels increased after acute exercise, transcription factor A, mitochondrial and CS levels improved after 5 d, and glutathione peroxidase-4 levels increased after 10 d. CS activity improved by 29% ± 8% (P < 0.01) after 5 d together with a 50% ± 7% reduction in the free radical leak (P < 0.05). Finally, 10 d of endurance training did not significantly alter mitochondrial H2O2 release but increased mitochondrial respiration rates in situ (P < 0.05). CONCLUSIONS: Our results demonstrate that mitochondrial adaptations follow a sequential program in which mitochondrial respiration and free radical leak adaptations occur according to a different timing. Collectively, these results suggest early mitochondrial qualitative adaptations in response to endurance 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) | 0.002 | 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".