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Activation of Protease‐Activated Receptor 2 Directly Mediates Cutaneous Vasodilatation but Not Sweating in Humans In Vivo: Roles of Nitric Oxide Synthase and Cyclooxygenase

2017· article· en· W4389017186 on OpenAlexafffundabout
Brendan D. McNeely, Naoto Fujii, Sarah Y. Zhang, Mercy O. Daquan, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrodialysisVasodilationNitric oxideNitric oxide synthaseCyclooxygenaseAgonistChemistryReactive hyperemiaIn vivoMedicineKetorolacEndocrinologyInternal medicinePharmacologyAnesthesiaReceptorEnzymeBiologyBiochemistry

Abstract

fetched live from OpenAlex

Protease‐activated receptor 2 (PAR2) is present in the endothelial cells of skin microvessels and eccrine sweat glands in humans. Notably, this receptor has been shown to play a role in the vascular control of larger arteries and the control of epidermal permeability. However, it remains unclear if PAR2 functionally contributes to the regulation of cutaneous blood flow and sweating in humans. Therefore, the objective of the current study was to determine whether the activation of PAR2 directly stimulates cutaneous vasodilation and sweating through nitric oxide synthase (NOS) and cyclooxygenase (COX) mediated mechanisms. In twelve young males (29±5 years), cutaneous vascular conductance (CVC, measured via laser‐Doppler perfusion units/mean arterial pressure) and sweat rate (measured via ventilated capsule) were evaluated at four intradermal microdialysis forearm skin sites that were constantly perfused with either 1) lactated Ringer (Control), 2) 10 mM N ω ‐nitro‐L‐arginine (NOS inhibitor), 3) 10 mM ketorolac (COX inhibitor), or 4) a combination of 10 mM N ω ‐nitro‐L‐arginine + 10 mM ketorolac. The PAR2 agonist (SLIGKV‐NH 2 ) was co‐administered at all sites in a dose‐dependent fashion (0.06, 0.18, 0.55, 1.66, and 5 mM, each for 25 min). Throughout the protocol, participants rested in a semi‐recumbent position in a thermoneutral room (23°C). Responses were compared at baseline and the last 5 min of each dose administered. The highest dose of SLIGKV‐NH 2 (5 mM) increased CVC from baseline (BL) at the Control site (BL: 15 ± 8% CVC max , 5 mM: 37 ± 22% CVC max ; P ≤ 0.01). This increase in CVC associated with PAR2 activation was attenuated by NOS inhibition with or without simultaneous COX inhibition (Control: 37 ± 22%CVC max , NOS inhibition: 25 ± 16% CVC max , NOS+COX inhibition: 23 ± 16% CVC max ; both P ≤ 0.05). However, COX inhibition alone had no effect on the PAR2 mediated increase in CVC at all doses (all P > 0.05). No increase in sweat rate was measured at any administered dose of SLIGKV‐NH 2 irrespective of the agent co‐administered (all P > 0.05). In conclusion, we show that in normothermic resting humans, in vivo activation of PAR2 directly mediates cutaneous vasodilation through NOS‐dependent mechanisms without any contribution of COX mediated pathways. Alternatively, the same activation of PAR2 does not lead to increases in forearm sweat rate. Support or Funding Information This study was supported by the Natural Sciences and Engineering Research Council of Canada (Discovery grant, RGPIN‐06313‐2014; Discovery Grants Program ‐ Accelerator Supplement, RGPAS‐462252‐2014; funds held by Dr. Glen P. Kenny).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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 designObservational
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".

Quick stats

Citations0
Published2017
Admission routes3
Has abstractyes

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