Effects of an aerobic training and training cessation on skeletal muscle ultrastructure in domestic dogs
Bibliographic record
Abstract
Abstract Introduction: Microbiopsies of the M.adductor magnus, which is an important locomotor muscle were taken to study the effects of six weeks of moderate aerobic treadmill training and their reversibility after a training pause of nine weeks in a group of seven Foxhound-Boxer-Ingelheim Labrador crossbreds. Materials and Methods: To study changes of myofibre morphometry standard morphometric methods were applied using light and transmission electron micrographs. Results: The capillary density was higher in trained condition than in untrained condition and after the end of training. In contrast, the capillaries per iber as well as the capillary-to-iber ratio, the distance between neighboring capillaries and the capillary supply area showed no significant change. Smaller myofibre diameters were found in muscles of dogs in trained condition when compared to the untrained condition but not when compared to myofibres nine weeks after the end of training. Training led to increases in the volume fraction of mitochondria within myofibres and an increase of the surface density of cristae within the mitochondria. The ratio of the surface density to the volume fraction of the mitochondria increased in response to training. Except for the decrease in myofibre diameter, all of the reported changes were reversible and measurements nine weeks after cessation of training did not differ from measurements before training started. Conclusion: The results of this study emphasize the ability of dogs to rapidly and flexibly adjust locomotor muscles to changing exercise regimes by up-and down regulation of the number and inner structure of the mitochondria while the capillary network remains stable.
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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".