Oxidative stress impairs NO‐dependent cutaneous vasodilation but not NO‐dependent sweating in young adults during high intensity exercise
Bibliographic record
Abstract
Our recent work showed that nitric oxide (NO)‐dependent sweating and cutaneous vasodilation are diminished in young males during intermittent exercise at high (700 W) relative to moderate (400 W) rates of metabolic heat production. We tested the hypothesis that this impairment results from increased oxidative stress during high intensity exercise. On separate days, nine young (24 ± 2 years) healthy males performed two 30 min bouts of semi‐recumbent cycling in the heat (35°C, 20% RH) at a rate of metabolic heat production of i) 500 W or ii) 700 W. The first and second exercise bouts were followed by 20 and 40 min of recovery, respectively. Forearm local sweat rate (LSR) and cutaneous vascular conductance (CVC) were measured at 4 skin sites that were continuously perfused via intradermal microdialysis with: 1) lactated Ringer's solution (Control), 2) 10 mM ascorbate (ASC, antioxidant), 3) 10 mM L‐N G ‐Nitroarginine methyl ester (L‐NAME, non‐selective NO synthase inhibitor), or 4) 10 mM ASC + 10 mM L‐NAME. During moderate intensity exercise (i.e., 500 W), L‐NAME and ASC + L‐NAME reduced LSR and CVC compared to the Control site (all P < 0.05), while no effect of ASC was observed (all P > 0.05). Conversely, high intensity exercise performed at 700 W did not result in differences in LSR between treatment sites ( P = 0.85). However, compared to Control, CVC was elevated at the ASC (all P < 0.05) while it was reduced at the L‐NAME (all P < 0.05) and ASC + L‐NAME (all P < 0.05) sites. Altogether these results suggest that oxidative stress impairs NO‐dependent cutaneous vasodilation but not LSR during intense exercise. Support: Natural Sciences and Engineering Research Council of 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".