The roles of K<sub>Ca</sub>, K<sub>ATP</sub>, and K<sub>V</sub> channels in regulating cutaneous vasodilation and sweating during exercise in the heat
Bibliographic record
Abstract
We recently showed the varying roles of Ca 2+ -activated (K Ca ), ATP-sensitive (K ATP ), and voltage-gated (K V ) K + channels in regulating cholinergic cutaneous vasodilation and sweating in normothermic conditions. However, it is unclear whether the respective contributions of these K + channels remain intact during dynamic exercise in the heat. Eleven young (23 ± 4 yr) men completed a 30-min exercise bout at a fixed rate of metabolic heat production (400 W) followed by a 40-min recovery period in the heat (35°C, 20% relative humidity). Cutaneous vascular conductance (CVC) and local sweat rate were assessed at four forearm skin sites perfused via intradermal microdialysis with: 1) lactated Ringer solution (control); 2) 50 mM tetraethylammonium (nonspecific K Ca channel blocker); 3) 5 mM glybenclamide (selective K ATP channel blocker); or 4) 10 mM 4-aminopyridine (nonspecific K V channel blocker). Responses were compared at baseline and at 10-min intervals during and following exercise. K Ca channel inhibition resulted in greater CVC versus control at end exercise ( P = 0.04) and 10 and 20 min into recovery (both P < 0.01). K ATP channel blockade attenuated CVC compared with control during baseline ( P = 0.04), exercise (all P ≤ 0.04), and 10 min into recovery ( P = 0.02). No differences in CVC were observed with K V channel inhibition during baseline ( P = 0.15), exercise (all P ≥ 0.06), or recovery (all P ≥ 0.14). With the exception of K V channel inhibition augmenting sweating during baseline ( P = 0.04), responses were similar to control with all K + channel blockers during each time period (all P ≥ 0.07). We demonstrated that K Ca and K ATP channels contribute to the regulation of cutaneous vasodilation during rest and/or exercise and recovery in the heat.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".