MétaCan
Menu
Back to cohort
Record W2532778940 · doi:10.1113/jp273502

Nitric oxide synthase and cyclooxygenase modulate β‐adrenergic cutaneous vasodilatation and sweating in young men

2016· article· en· W2532778940 on OpenAlexafffund
Naoto Fujii, Brendan D. McNeely, Glen P. Kenny

Bibliographic record

VenueThe Journal of Physiology · 2016
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsNitric oxide synthaseCyclooxygenaseAdrenergicVasodilationNitric oxideATP synthaseInternal medicineEndocrinologyMedicineChemistryPharmacologyEnzymeBiochemistryReceptor

Abstract

fetched live from OpenAlex

Key points β‐Adrenergic receptor agonists such as isoproterenol induce cutaneous vasodilatation and sweating in humans, but the mechanisms underpinning this response remain unresolved. Using intradermal microdialysis, we evaluated the roles of nitric oxide synthase (NOS) and cyclooxygenase (COX) in β‐adrenergic cutaneous vasodilatation and sweating elicited by administration of isoproterenol. We show that while NOS contributes to β‐adrenergic cutaneous vasodilatation, COX restricts cutaneous vasodilatation. We also show that combined inhibition of NOS and COX augments β‐adrenergic sweating These new findings advance our basic knowledge regarding the physiological control of cutaneous blood flow and sweating, and provide important and new information to better understand the physiological significance of β‐adrenergic receptors in the skin. Abstract β‐Adrenergic receptor agonists such as isoproterenol can induce cutaneous vasodilatation and sweating in humans, but the mechanisms underpinning this response remain unresolved. We evaluated the hypotheses that (1) nitric oxide synthase (NOS) contributes to β‐adrenergic cutaneous vasodilatation, whereas cyclooxygenase (COX) limits the vasodilatation, and (2) COX contributes to β‐adrenergic sweating. In 10 young males (25 ± 5 years), cutaneous vascular conductance (CVC) and sweat rate were evaluated at four intradermal forearm skin sites infused with (1) lactated Ringer solution (control), (2) 10 m m N ω ‐nitro‐ l ‐arginine ( l ‐NNA), a non‐specific NOS inhibitor, (3) 10 m m ketorolac, a non‐specific COX inhibitor, or (4) a combination of l ‐NNA and ketorolac. All sites were co‐administered with a high dose of isoproterenol (100 μ m ) for 3 min to maximally induce β‐adrenergic sweating (β‐adrenergic sweating is significantly blunted by subsequent activations). Approximately 60 min after the washout period, three incremental doses of isoproterenol were co‐administered (1, 10 and 100 μ m each for 25 min). Increases in CVC induced by the first and second 100 μ m isoproterenol were attenuated by l ‐NNA alone, and those in response to all doses of isoproterenol were reduced by l ‐NNA with co‐infusion of ketorolac (all P ≤ 0.05). Ketorolac alone augmented increases in CVC induced by 10 μ m and by the second 100 μ m isoproterenol (both P ≤ 0.05). While isoproterenol‐induced sweating was not affected by the separate administration of l ‐NNA or ketorolac (all P > 0.05), their combined administration augmented sweating elicited by the first 3 min of 100 μ m isoproterenol ( P = 0.05). We show that while NOS contributes to β‐adrenergic cutaneous vasodilatation, COX restrains the vasodilatation. Finally, combined inhibition of NOS and COX augments β‐adrenergic sweating.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.266
Teacher spread0.252 · 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 teacher head, 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".

Quick stats

Citations16
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of PhysiologySame topicThermoregulation and physiological responsesFrench-language works237,207