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The Effect of Beta‐Adrenergic Receptor Blockade on Sympathetic Vasoconstrictor Responsiveness in Sedentary and Exercise‐Trained Female Rats

2018· article· en· W3174652112 on OpenAlexafffundabout
Darren S. DeLorey, Timothy P. Just, Sixue Liu, Ian Cooper

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInternal medicineVasoconstrictionEndocrinologyMedicineSympathetic nervous systemVasodilationAdrenergicAdrenergic receptorStimulationReceptorBlood pressure

Abstract

fetched live from OpenAlex

Stimulation of the sympathetic nervous system evokes the release of neurotransmitters and produces vasoconstriction that is primarily mediated by the binding of norepinephrine (NE) to alpha‐adrenergic receptors. However, NE may also bind to beta‐ adrenergic receptors and produce vasodilation that opposes vasoconstriction. Therefore, in the present study, we tested the hypothesis that beta‐adrenergic receptor blockade would augment sympathetic vasoconstrictor responsiveness in resting and contracting skeletal muscle of sedentary and exercise trained female rats, demonstrating beta‐adrenergic receptor mediated opposition of vasoconstriction. We also hypothesized that the increase in sympathetic vasoconstrictor responsiveness in the presence of beta‐adrenergic blockade would be larger in exercise‐trained rats, indicating that exercise training augments beta‐adrenergic receptor mediated opposition of vasoconstriction. Female Sprague‐Dawley rats were randomized to Sedentary (n=8, 265 ± 28 g) and Exercise Trained (n=9, 290 ± 27 g) groups. Exercise Trained rats completed a 4‐week treadmill training regimen (5 d/week, 15 min at 40 m/min, 5% gradient). Subsequently, rats were anaesthetized and instrumented for the measurement of femoral vascular conductance (FVC), stimulation of the lumbar sympathetic chain, and contraction of the triceps surae muscle group. The percentage change of femoral vascular conductance (Δ%FVC) in response to sympathetic chain stimulation delivered at 2 and 5 Hz was determined at rest and during triceps surae muscle contraction (60% maximal contractile force) before (Control) and after beta‐adrenergic blockade (Propranolol; 0.075 mg/kg body mass, I.V.). Sympathetic vasoconstrictor responsiveness (Δ%FVC) was not different (P > 0.05) between Sedentary and Exercise Trained rats at rest or during contraction. At rest, beta‐adrenergic receptor blockade did not increase (P > 0.05) sympathetic vasoconstrictor responsiveness in Sedentary (Control: 2Hz: −34 ± 9 %, 5Hz: −53 ± 8 %; Propranolol: 2Hz: −31 ± 10 %, 5Hz: −49 ± 8 %) or Exercise Trained (Control: 2Hz: −38 ± 9 %, 5Hz: −57 ± 8 %; Propranolol: 2Hz: −34 ± 7 %, 5Hz: −53 ± 8 %) rats. Similarly, beta‐adrenergic receptor blockade did not increase (P > 0.05) sympathetic vasoconstrictor responsiveness during exercise in Sedentary (Control: 2Hz: −7 ± 4 %, 5Hz: −20 ± 11 %; Propranolol: 2Hz: −6 ± 5 %, 5Hz: −18 ± 10 %) or Exercise Trained (Control: 2Hz: −10 ± 8 %, 5Hz: −28 ± 8 %; Propranolol: 2Hz: −6 ± 5 %, 5Hz: −24 ± 12 %) rats. In conclusion, beta‐adrenergic receptor blockade did not augment sympathetic vasoconstrictor responsiveness in resting or contracting skeletal muscle of sedentary or exercise‐trained female rats, suggesting that beta‐adrenergic receptor mediated vasodilation did not oppose vasoconstriction, regardless of training status. Support or Funding Information Natural Sciences and Engineering Research Council of Canada, Canadian Foundation for Innovation, and Alberta Advanced Education and Technology. 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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".

Quick stats

Citations0
Published2018
Admission routes3
Has abstractyes

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