Exercise training improves neuronal nitric oxide synthase mediated inhibition of sympathetic vasoconstriction (706.20)
Bibliographic record
Abstract
We hypothesized that exercise training (ET) would increase neuronal nitric oxide synthase (nNOS) mediated inhibition of sympathetic vasoconstriction in resting and contracting skeletal muscle. Sprague‐Dawley rats were randomly assigned to sedentary (S, n=8) or ET (n=10; 40m/min, 5° grade; 15 min/d, 5d/wk for 4 wks) groups. Rats were anesthetised and instrumented for lumbar sympathetic chain stimulation and measurement of femoral vascular conductance (FVC) at rest and during contraction of the triceps surae muscles. The percentage decrease in FVC to sympathetic stimulation (2 and 5 Hz) was determined at rest and during contraction before and after selective nNOS ( SMTC ) and non‐selective NO S blockade (L‐NAME ) . At rest, SMTC increased (p<0.05) vasoconstriction by a similar magnitude (p>0.05) in ET (2Hz: 7±2%; 5Hz: 7±2%) and S (2Hz: 5±2%; 5Hz: 6±2%). L‐NAME further increased (p<0.05) vasoconstriction by a similar amount (p>0.05) in ET (2Hz: 11±4%; 5Hz: 8±5%) and S (2Hz: 10±5%; 5Hz: 10±3%). During contraction, SMTC caused a larger (p<0.05) increase in the constrictor response in ET (2Hz:16±2%; 5Hz: 19±5%) compared to S (2Hz :9±4%; 5Hz: 9±4%), whereas the increase in the constrictor response with L‐NAME was not different (p>0.05) between ET (2Hz: 5±3%; 5Hz: 9±5%) and S (2Hz: 10±4%; 5Hz: 10±3%). These data demonstrate that ET improved nNOS‐mediated inhibition of sympathetic vasoconstriction in contracting muscle. Grant Funding Source : Supported by NSERC Canada and CFI
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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".