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Record W2341181564 · doi:10.1113/ep085148

The molecular actions of oestrogen in the regulation of vascular health

2016· review· en· W2341181564 on OpenAlexaff
Charlotte W. Usselman, Nina S. Stachenfeld, Jeffrey R. Bender

Bibliographic record

VenueExperimental Physiology · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of Alberta
FundersNational Cancer InstituteNational Heart, Lung, and Blood Institute
KeywordsOestrogen receptorMedicineDiseaseBioinformaticsEndotheliumReceptorPhysiologyInternal medicineEndocrinologyBiologyBreast cancerCancer

Abstract

fetched live from OpenAlex

NEW FINDINGS: What is the topic of this review? This review summarizes the beneficial actions of oestrogen on the vasculature, highlighting both molecular mechanisms and functional outcomes. What advances does it highlight? The net effect of oestrogen on the vascular health of women continues to be debated. Recent advances have provided strong evidence for the role of membrane-bound oestrogen receptors in the maintenance of normal endothelial function. On a broader scale, functional outcomes of oestrogen actions on the vasculature may mediate the reduced risk of cardiovascular disease in premenopausal women. The conflicting implications of the large-scale clinical menopausal hormone therapy trials in humans versus the findings of studies on experimental animals underscore the limitations within our understanding of the molecular actions of oestrogen. However, recent research has provided improved insight into the actions of oestrogen on the endothelium and vascular smooth muscle. This review outlines the actions of oestrogen as it contributes to vascular structure, function and health.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.018
GPT teacher head0.343
Teacher spread0.325 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations50
Published2016
Admission routes1
Has abstractyes

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