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Vasoregulatory Responses To Sudden Changes In Forearm Perfusion Pressure During Moderate Forearm Exercise

2005· article· en· W4232767782 on OpenAlexaffabout
Kathryn Walker, Natasha Saunders, Dennis Jensen, Jennifer L. Kuk, Suzy L Wong, Kyra E. Pyke, Erin M. Dwyer, Michael E. Tschakovsky

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsQueen's University
Fundersnot available
KeywordsForearmSupine positionCardiologyBrachial arteryIsometric exerciseInternal medicineBlood pressureHeart rateReactive hyperemiaPerfusionMedicineExercise physiologyBlood flowSurgery

Abstract

fetched live from OpenAlex

Exercising muscle blood flow is thought to be tightly regulated to metabolic demand. The time course of vasoregulatory responses to a disruption of steady state exercising muscle blood flow remains unclear. PURPOSE We tested the hypothesis that sudden changes in local forearm perfusion pressure during moderate intensity forearm handgrip exercise would alter forearm blood flow (FBF) and result in rapid compensatory changes in forearm vascular conductance (FVC, vasoregulatory responses) to restore FBF. METHODS 12 healthy young subjects (7 female,5 male) lay supine and were instrumented for brachial artery FBF (Doppler ultrasound), arterial blood pressure (ABP; arterial tonometry) and heart rate (HR;ECG). Exercise consisted of 30% MVC rhythmic isometric handgrip contractions (2 s /2 s contraction/relaxation duty cycle). Rapid changes in arm position between above (AH) and below (BH) heart level (forearm perfusion pressure difference of ∼30 mmHg) during steady state exercise occurred during a 2 s contraction period. Exercise then continued for 4 min in the new arm position. Vasoregulatory responses were examined by analysing cardiac cycles during relaxation between contractions. FVC during exercise was calculated using forearm level ABP. RESULTS AH to BH transition: an immediate increase in FBF (ml/min ±SE) (419.5±56.6 to 708.7±68.5, p < 0.05) and FVC (602.1±94.4 to 709.5±85.4, p < 0.05) was followed by rapid restoration of FVC (ml/min/100 mmHg ±SE) (609.6±88.9, P=1.00) with no further change, and incomplete restoration of FBF (597.0±72.1, p < 0.001). BH to AH transition:an immediate decrease in FBF (551.0±68.6 to 349.1±52.7, p < 0.001) and FVC (540.0±71.3 to 468.3±74.3, P=0.017) was followed by rapid restoration of FVC (511.8±68.5, P=0.970) with no further change, and incomplete restoration of FBF (409.6±54.3, p < 0.001). CONCLUSION Changes in perfusion pressure during exercise result in an immediate change in FBF and perfusion pressure-mediated changes in resistance vessel distension (altered FVC). Rapid acting vasoregulatory mechanism(s) (likely myogenic) respond to restore FVC, with no further vasoregulatory adjustments such that FBF is not restored. Supported by NSERC; Canada Foundation for Innovation; Ontario Innovation Trust

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.014
GPT teacher head0.275
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
Published2005
Admission routes2
Has abstractyes

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