CAN INCREASES IN CAPILLARIZATION EXPLAIN THE EARLY METABOLIC ADAPTATIONS TO SHORT-TERM TRAINING?
Bibliographic record
Abstract
Within the first 3 days of training in the untrained, less of a decrease in ATP and phosphorcreatine (PCr) and less of an increase in related metabolites are observed during submaximal exercise in the vastus lateralis (VL) (Green, H. et al. Amer. J. Physiol. 277: E39–E48, 1999). The improved phosphorylation state is unaccompanied by increases in oxidative potential. To examine if increases in oxygen availability might be implicated, we have measured indices of capillarization in vastus lateralis following 3 days of training, involving 2 hours of cycling per day at 60–65% peak aerobic power (V02 peak) in 13 untrained males (V02 peak = 46.5 ± 1.7ml/kg/min SE). Our results indicate an increase (P < 0.05) in capillary to fiber area ratio (CC/Area) that was due to a general reduction (P < 0.05) in fiber area (Area) and not to change in the number of capillaries (CC) surrounding each fibre. These changes were not specific to fiber type. These results suggest that increases in perfusion, mediated by fibre size reductions, may be involved in the early metabolic adaptations observed with training. Supported by NSERC (Canada)Table
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".