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Record W3012505058 · doi:10.1113/ep088388

Regional influence of nitric oxide on cutaneous vasodilatation and sweating during exercise‐heat stress in young men

2020· article· en· W3012505058 on OpenAlexafffund
Madison D. Schmidt, Gregory W. McGarr, Caroline M. Muia, Naoto Fujii, Tatsuro Amano, Glen P. Kenny

Bibliographic record

VenueExperimental Physiology · 2020
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsForearmVasodilationMicrodialysisNitric oxideMedicineNitric oxide synthaseSWEATThermoregulationAnesthesiaInternal medicineCardiologyHeat stressSurgeryAnimal science

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? Do regional differences exist in nitric oxide synthase (NOS)‐dependent cutaneous vasodilatation and sweating during exercise‐heat stress in young men. What is the main finding and its importance? Exercise‐induced increases in cutaneous vasodilatation and sweating were greater on the chest and upper back compared to the forearm, although the NOS contribution to cutaneous vasodilatation was similar across all regions. Conversely, there was a greater NOS‐dependent rate of change in sweating on the chest compared to the forearm, with a similar trend on the back. Abstract While it is established that nitric oxide synthase (NOS) is an important modulator of forearm cutaneous vasodilatation and sweating during an exercise‐heat stress in young men, it remains unclear if regional differences exist in this response. In 15 habitually active young men (24 ± 4 (SD) years), cutaneous vascular conductance (CVC) and local sweat rate (LSR) were assessed at three body regions. On each of the dorsal forearm, chest and upper‐back (trapezius), sites were continuously perfused with either (1) lactated Ringer solution (control) or (2) 10 Mm N ω ‐nitro‐ l ‐arginine ( l ‐NNA, NOS inhibitor), via microdialysis. Participants rested in the heat (35°C) for ∼75 min, followed by 60 min of semi‐recumbent cycling performed at a fixed rate of heat production of 200 W m −2 (equivalent to ∼42% ). During exercise, the chest and upper‐back regions showed higher CVC and LSR responses relative to the forearm (all P < 0.05). Within each region, l ‐NNA attenuated CVC and LSR relative to control (all P < 0.05). However, the NOS contribution was not different across regions for the rate of change and plateau for CVC or for the LSR plateau (all P > 0.05). Conversely, there was a greater NOS contribution to the rate of change for LSR at the chest relative to the forearm ( P < 0.05) with a similar trend for the back. In habitually active young men, NOS‐dependent cutaneous vasodilatation was similar across regions while the NOS contribution to LSR was greater on the chest relative to the forearm. These findings advance our understanding of the mechanisms influencing regional variations in cutaneous vasodilatation and sweating during an exercise‐heat stress.

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 score0.703
Threshold uncertainty score0.364

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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