Role of nitric oxide synthase on local sweat rate in older adults during intermittent exercise in the heat
Bibliographic record
Abstract
Studies suggest that nitric oxide (NO) has a role in sweating. Older adults have a lower production of and sensitivity to NO which may explain why older adults have lower local sweat rates (LSR) compared with their younger counterparts during exercise. We examined the role of NO synthase (NOS) on LSR during intermittent exercise in the heat. Ten young (Y) and ten older (O) participants completed 3 × 15 min of cycling (rate of metabolic heat production of 600 W) separated by 15 min recovery in the heat (35ºC, 30% RH). Intradermal microdialysis probes were inserted in the forearm and perfused with either 0.9% saline (CON) or 10 mM L‐NAME (a NOS inhibitor). LSR was measured directly over each membrane. LSR was similar between Y and O during the exercise bouts at the CON (average of the 3 exercise bouts: Y; 0.96 ± 0.20 vs. O; 0.87 ± 0.25 mg·min −1 ·cm −2 p=0.327) and the LNAME (Y: 0.74 ± 0.18 vs. O: 0.83 ± 0.27 mg·min −1 ·cm −2 p=0.327) sites. However, the relative contribution of NO to the sweating response was reduced in Y (CON: 0.96 ± 0.20 vs. L‐NAME: 0.74 ± 0.18 mg·min −1 ·cm −2 , p=0.017), but not O (CON: 0.87 ± 0.25 vs. L‐NAME: 0.83 ± 0.27 mg·min −1 ·cm −2 , p=0.965). We conclude that the exercise‐induced increase in sweating is influenced by NO in younger adults. However, it appears that the level of influence is blunted in older individuals during high intensity exercise in the heat. This research was funded by Natural Sciences and Engineering Research Council (RGPIN‐298159–2009, held by Dr. Kenny).
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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 | 0.001 |
| 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".