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The influence of protease‐activated receptor 2 stimulation on cutaneous vascular and sweating responses during exercise in the heat in older males.

2018· article· en· W3174255858 on OpenAlexafffundabout
Robert D. Meade, Kion Hatam, Naoto Fujii, Gregory W. McGarr, Pierre Boulay, Ronald J. Sigal, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of CalgaryUniversité de SherbrookeUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrodialysisSWEATStimulationVasodilationAgonistThermoregulationInternal medicineEndocrinologyChemistryMedicineReceptor

Abstract

fetched live from OpenAlex

Stimulation of protease‐activated receptor 2 (PAR‐2), which is present on cutaneous epithelial cells and eccrine sweat glands, induces cutaneous vasodilation but not sweating in young adults during passive rest in a thermoneutral environment (~23°C). While recent data from our laboratory suggest that PAR‐2 activation does not influence these heat loss responses in young males during rest or exercise in a hot environment, it is unknown how stimulation of this receptor modulates cutaneous vasodilation and sweating in older males. Ten healthy older males (age: 61 ± 4 yrs) rested in a thermal chamber regulated to 25°C (baseline) while four microdialysis fibres were continuously perfused with 1) lactated Ringer's (Control) or the PAR‐2 receptor agonist SLIGKV‐NH 2 at concentrations of 2) 0.05 mM, 3) 0.5 mM and 4) 5 mM. Chamber temperature was then increased to 40°C and, following ~60 min of passive heat exposure, participants performed 50‐min of moderate intensity cycling (200 W·m −2 of metabolic heat production). Local forearm cutaneous vascular conductance (CVC) and sweat rate were measured continuously at each treatment site. At baseline, CVC was elevated at the 5 mM SLIGKV‐NH 2 skin site (40 ± 15%CVC max ) relative to Control (11 ± 4%CVC max ; P<0.01). By contrast, no differences were observed between treatment sites during passive exposure to 40°C (all P≥0.08) or at end‐exercise (all P≥0.22). Sweat rate was similar between treatment sites during both the baseline (all P≥0.53) and passive heat exposure (P≥0.28) periods. However, end‐exercise sweat rate was attenuated compared to Control (1.62 ± 0.30 mg·min −1 ·cm −2 ) with 0.05 mM (1.20 ± 0.29 mg·min −1 ·cm −2 ; P<0.01), 0.5 mM (1.12 ± 0.24 mg·min −1 ·cm −2 ; P<0.01) and 5 mM (1.15 ± 0.26 mg·min −1 ·cm −2 ; P=0.01) doses of SLIGKV‐NH 2 . These findings indicate that while PAR‐2 activation can cause cutaneous vasodilation during rest in thermoneutral conditions, its influence is diminished during both passive exposure and exercise in a hot environment. Further, in contrast to previous observations made in young adults, PAR‐2 activation diminished the sweating response in older males during exercise in the heat. Support or Funding Information Natural Sciences and Engineering Research Council of Canada. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.282
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes3
Has abstractyes

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