Short‐term exercise training enhances nitric oxide‐mediated sympatholysis
Bibliographic record
Abstract
We hypothesized that exercise training (ET) would enhance nitric oxide (NO)‐mediated inhibition of sympathetic vasoconstriction in contracting skeletal muscle. Sprague‐dawley rats (n=36) were randomly assigned to sedentary (S), mild‐ (M: 20m/min5% grade) or heavy‐intensity ET groups (H: 40m/min5% grade) and trained 5d/wk for 4 wks with the volume of ET matched. Rats were anesthetised and instrumented for stimulation of the lumbar sympathetic chain and the measurement of arterial blood pressure and femoral artery blood flow. The triceps surae muscles were stimulated to contract at 30 and 60% of maximal contractile force (MCF). The percent change in femoral vascular conductance (%FVC) in response to sympathetic chain stimulation (2 and 5 Hz) was determined at rest and during contractions before and after NO synthase (NOS) blockade. The magnitude of sympatholysis (%FVC rest – contraction) was greater in H compared to M and S at 30% MCF (2Hz‐ S: 9±5, M: 11±8, H: 18±7; 5Hz‐ S: 6±6, M: 12±9, H: 18±7; p<0.05) and was greater in H and M compared to S at 60% MCF (2Hz‐ S: 15±5; M: 25±3; H: 36±6; 5Hz‐ S: 22±6; M: 33±9; H: 39±9; p<0.05). NOS blockade did not alter the magnitude of sympatholysis in S during contraction at 30 or 60% MCF. In contrast, sympatholysis was diminished in H at 30% MCF and M and H at 60% MCF by NOS inhibition. These data demonstrate that short‐term ET augments sympatholysis through an NO‐mediated mechanism. NSERC Canada.
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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".