The Mechanisms Underlying the Muscle Metaboreflex Modulation of Sweating and Cutaneous Vascular Conductance in Passively Heated Humans
Notice bibliographique
Résumé
Previous reports demonstrate that the nonthermal muscle metaboreflex increases sweating and reduces cutaneous perfusion during heat stress. However the mechanisms mediating these responses remain unknown. Given that nitric oxide synthase (NOS) and cyclooxygenase (COX) contribute to the sweating response during heat stress, these enzymes may also play a role in the metaboreflex‐induced increases in sweating during heat stress. Additionally, NOS, COX, and adenosine receptors contribute to cutaneous vascular responses during heat stress. Thus these factors may be involved in reducing cutaneous perfusion in response to metaboreceptor activation during heat stress. Eleven healthy males (31 ± 13 years) donned a water‐perfused suit whereby mean skin temperature was clamped to ~35 °C (pre‐heating; to activate sweating without changes in core temperature) which was followed by a period of whole‐body heating to induce and maintain a 1.0 °C increase in core temperature (post‐heating) above pre‐heating levels. Participants performed the metaboreceptor activation protocol [1 min bout of isometric handgrip (IHG) exercise at 60% of their maximal voluntary contraction followed by 3 min of forearm occlusion (OCC; to stimulate metaboreceptors)] twice at each heating phase (pre‐heating: IHG+OCC‐1 and ‐2; and post‐heating: IHG+OCC‐3 and ‐4), each separated by 10 min. Prior to the start of the trial, participants were instrumented with four intradermal microdialysis fibres in the forearm skin that were continuously perfused with (1) lactated Ringer solution (Control), (2) 10 mM N G ‐nitro‐L‐arginine methylester (L‐NAME; a non‐selective NOS inhibitor), (3) 10 mM ketorolac (KETO; a non‐selective COX inhibitor), or (4) 4 mM theophylline (THEO; a non‐selective adenosine receptor antagonist). Forearm sweat rate (ventilated capsule; n=9) and cutaneous vascular conductance (CVC; perfusion units divided by mean arterial pressure, n=9) were measured at each of the four skin sites. For all sites, sweating increased and remained elevated during IHG and OCC respectively, regardless of the level of hyperthermia (all P < 0.05). The increase in sweat rate from pre‐IHG levels during IHG+OCC‐2 and IHG+OCC‐3 measured at the Control (0.26 ± 0.14 and 0.03 ± 0.01 mg· min −1 · cm −2 , respectively) was partially attenuated by NOS inhibition (23 ± 23 and 22 ± 26%, respectively, P <0.05). During the pre‐heating phase, no influence of IHG+OCC‐1 or ‐2 was observed on CVC (all P >0.05). Moreover, relative to pre‐IHG levels, CVC was reduced during IHG+OCC‐3 at Control (IHG; −9.4 ± 8.2 and OCC; −3.2 ± 3.2 %CVC max , P <0.05). Additionally, at all sites compared to Control, there were no differences in CVC during IHG+OCC at each heating phase (all P >0.05). We show that during heat stress NOS, but not COX and adenosine receptors, contributes to the sweating response to muscle metaboreceptor activation, whereas CVC is not modulated by NOS, COX, and adenosine receptors. Support or Funding Information This study was supported by the Natural Sciences and Engineering Research Council of Canada (Discover grant, RGPIN‐06313‐2014; Discovery Grants Program ‐ Accelerator Supplement, RGPAS‐462252‐2014; funds held by Dr. Glen P. Kenny).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».