MétaCan
Menu
Back to cohort
Record W4416810052 · doi:10.14814/phy2.70655

Microvascular arteriolar reactivity in response to skeletal muscle contractions in female and male hamsters

2025· article· en· W4416810052 on OpenAlexafffund
Nicole M. Fletcher, Coral L. Murrant

Bibliographic record

VenuePhysiological Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsCremaster muscleVasodilationArterioleSkeletal muscleMicrocirculationIntravital microscopyAcetylcholineNitric oxideAdenosine

Abstract

fetched live from OpenAlex

Abstract Microvascular control mechanisms involved in the blood flow response to muscle contractions have been well documented in males but remain poorly understood in females. Therefore, we characterized arteriolar vasodilation in situ using intravital microscopy of the retractor muscle of anesthetized female and male hamsters (8–13 weeks). Arterioles were stimulated physiologically by contracting 3–5 skeletal muscle fibers overlying the arteriole for 2 min using a range of twitch and tetanic stimulation parameters: 6, 15, and 60 contractions per minute (cpm) at 20 Hz, or 4, 20, and 70 Hz at 15 cpm (250 ms train duration) and pharmacologically via 2 min micropipette application of nitric oxide (NO, 10 −5 M), adenosine (ADO, 10 −6 M) and potassium (K + , 20 mM) as well as acetylcholine (ACh, 10 −6 M) to assess local and conducted responses. Sex differences were not observed in the magnitude or rate of arteriolar vasodilation under any physiological or pharmacological condition. Collectively, these data demonstrate that arteriolar reactivity to muscle contractions and to pharmacological stimuli relevant to muscle contractions, were not different between females and males. These data suggest that the integrated vascular response during active hyperemia may not be sexually dimorphic.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.948
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.290
Teacher spread0.276 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuePhysiological ReportsSame topicNitric Oxide and Endothelin EffectsFrench-language works237,207