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Inter-individual Variability In Passive Leg Movement-induced Hyperemia And Arterial Stiffness Across The Menstrual Cycle

2022· article· en· W4294796067 on OpenAlexaff
Lindsay A. Lew, Sydney Danford, Kyra E. Pyke

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsQueen's University
Fundersnot available
KeywordsArterial stiffnessInternal medicineMedicineMenstrual cyclePulse wave velocityReactive hyperemiaCardiologyVasodilationEndocrinologyFollicular phaseEstrogenNitric oxideEndothelial dysfunctionBlood pressureHormone

Abstract

fetched live from OpenAlex

There is variability in the impact of menstrual phase on arterial stiffness with some, but not all, studies reporting a decrease in arterial stiffness from the early follicular (EF; low estradiol) to the late follicular (LF; high estradiol) phase at the group or individual level. However, the mechanisms driving inter-study and inter-individual phase differences in arterial stiffness remain unknown. Vasorelaxation reduces arterial resistance and arterial stiffness. Variable increases in the endothelial-derived vasodilator nitric oxide with elevated LF estrogen may result in variable smooth muscle relaxation and thus variability in the impact of phase on arterial stiffness. It is speculated that inter-individual phase changes in nitric oxide dependent endothelial function will be related to inter-individual phase changes in arterial stiffness. PURPOSE: to investigate whether changes in endothelial function are related to changes in arterial stiffness across the menstrual cycle. METHODS: 11 premenopausal women (22±4 years) completed two visits; 1 in EF and 1 in LF phase. Salivary estradiol and leg endothelial function and arterial stiffness were tested during each visit. Endothelial function was quantified by the hyperemic response to passive leg movement (PLM) characterized by area under the curve leg blood flow (AUC LBF) and leg vascular conductance (AUC LVC) assessed via duplex ultrasound. Leg femoral-foot pulse wave velocity (PWV) was assessed via applanation tonometry. RESULTS: Estradiol increased from the EF to LF phase (p=0.014; EF=1.43±0.38, LF=1.60±0.43 pg/ml). At the group level, PWV decreased from the EF to LF phase (p=0.022; EF=7.98±1.48, LF=7.21±1.85 m/s). There were no group-level phase changes in AUC LBF (p=0.308; EF=132.50, LF=149.07 ml/min) or AUC LVC (p=0.344; EF=1.76±1.13, LF=1.96±1.06 ml/min/mmHg). Phase changes in PWV were not associated with phase changes in AUC LBF (r=0.171, p =0.616) or AUC LVC (r=0.247, p=0.464). CONCLUSION: Peripheral arterial stiffness decreased with a rise in estrogen in the LF phase, however, individual phase changes in arterial stiffness were not related to individual changes in endothelial function. Future research is needed to understand the mechanisms resulting in individual responses to fluctuations in endogenous estradiol. Funded by NSERC

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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