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Endothelial (Dys)function in Women With Androgen Excess Polycystic Ovary Syndrome: Effects of Body Composition and Ethinyl Estradiol Supplementation

2022· article· en· W4225412048 on OpenAlexaff
Danielle E. Berbrier, Cheryl Leone, Tessa E. Adler, Jeffrey R. Bender, Hugh S. Taylor, Nina S. Stachenfeld, Charlotte W. Usselman

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersAmerican Heart Association
KeywordsPolycystic ovaryInternal medicineEndocrinologyEndothelial dysfunctionMedicineReactive hyperemiaOverweightTestosterone (patch)AndrogenObesityVasodilationHormoneInsulin resistance

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome (PCOS) has been associated with endothelial dysfunction. However, whether endothelial dysfunction occurs as a result of obesity in androgen excess PCOS (AE‐PCOS) remains unclear. The purpose of this study was to compare endothelial function between lean and overweight/obese (OW/OB) women with AE‐PCOS. We hypothesis that OW/OB women with AE‐PCOS would demonstrate impaired endothelial function relative to lean women with AE‐PCOS as well as both lean and OW/OB controls without any form of PCOS. We also tested the hypothesis that short‐term ethinyl estradiol (EE) supplementation improves endothelial function in both lean and OW/OB women with AE‐PCOS. We assessed conduit vessel endothelial function in 14 women with AE‐PCOS (lean: n=7; OW/OB: n=7) and 12 controls (CTRL; lean: n=6, OW/OB: n=6) using flow‐mediated dilation (FMD). FMD responses were assessed twice: before (baseline; BSL) and on the last day of 7‐day oral EE (post‐EE; 30mg/day) and quantified as the peak increase in diameter during reactive hyperemia (%FMD), shear rate, and low flow‐mediated vasoconstriction (LFMC). BSL %FMD was attenuated in lean AE‐PCOS relative to both lean CTRL (5.2 ± 1.5% vs 10.3 ± 2.6%, P<0.01) and OW/OB AE‐PCOS (5.2 ± 1.5% vs 6.6 ± 0.9%, P=0.04). A negative correlation between BSL %FMD and free testosterone was observed in lean AE‐PCOS only (R 2 =0.68, P=0.02). %FMD was unchanged from BSL to post‐EE in lean AE‐PCOS (5.17±1.5 vs 5.17±1.1, P=0.99). Post‐EE, %FMD was lower in lean CTRL (10.3±2.6% vs 7.6±1.2%, P=0.03), but increased in both OW/OB CTRL (7.3±0.1.2% vs 10.4±2.5%) and OW/OB women with AE‐PCOS (6.6±0.92% vs 9.6±1.7%; main effect of EE, P<0.01). Post‐EE %FMD changes from BSL were associated with EE‐induced changes in LFMC and shear rate. Our data indicate that lean women with AE‐PCOS exhibit more severe conduit vessel endothelial dysfunction than OW/OB women with AE‐PCOS. Our data also indicate that short‐term EE supplementation affects LFMC and shear rate (and therefore %FMD) differently across healthy lean women and OW/OB women with and without AE‐PCOS.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.233
Teacher spread0.226 · 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
Published2022
Admission routes1
Has abstractyes

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