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PS-C28-6: HIGH TESTOSTERONE AND LOW ESTRADIOL SERA LEVELS ARE ASSOCIATED WITH UNSTABLE PLAQUE COMPOSITION IN MEN WITH SEVERE CAROTID ATHEROSCLEROSIS

2023· article· en· W4315784434 on OpenAlexaffabout
Karina Gasbarrino, Edward Daly, Huaien Zheng, Stella S. Daskalopoulou

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineTestosterone (patch)Carotid endarterectomyInternal medicineSex hormone-binding globulinHormoneDiabetes mellitusEndocrinologyDehydroepiandrosteronePhysiologyCardiologyGastroenterologyAndrogenCarotid arteries

Abstract

fetched live from OpenAlex

Background and Objectives: Ischemic strokes caused by the rupture of unstable atherosclerotic plaques in the carotid arteries, are leading causes of mortality and disability worldwide. Sex differences exist in plaque composition, where men are more likely to develop unstable plaques than women. Sex hormones affect vascular reactivity and inflammation, but it remains unclear if they are involved in plaque instability and how their role differs in men and women. Herein, we investigated the association between circulating endogenous sex hormone levels and plaque composition/instability in men and women with severe carotid atherosclerosis. Design and method: Pre-operative fasting blood samples and plaque specimens were collected from post-menopausal women and men greater than 55 years old with severe carotid atherosclerosis who underwent a carotid endarterectomy at McGill-affiliated hospitals in Montreal, Canada. Plaque composition and stability were examined by experienced vascular pathologists according to gold-standard histological classifications. Liquid chromatography-tandem mass spectrometry-based methods were developed to quantify endogenous sex hormones, 17ß-estradiol (E2), testosterone, androstenedione, and dehydroepiandrosterone, in sera samples. Results: Subjects (n = 460) had a mean age of 71.0 ± 9.0, were 68.9% male, and had various comorbidities (hypercholesterolemia [82.6%], hypertension [84.6%], type 2 diabetes [34.5%]). Clinical characteristics were similar among post-menopausal women (n = 143) and men (n = 317) with stable versus unstable plaques. Men had a significantly greater proportion of unstable versus stable plaques compared to women (men unstable: 61.5%, women unstable: 41.3%; P < 0.001), characterized predominantly by a large lipid-rich core, hemorrhage, and high presence of inflammatory cell infiltration. Men with unstable plaques had significantly higher levels of testosterone than men with stable plaques (P = 0.004). In men, testosterone levels were inversely associated with fibrosis (P < 0.05), while directly associated with unstable plaque features, including greater lipid core size (P < 0.05), and a greater presence of foam cells (P < 0.05), neovascularization (P < 0.01), and plaque (P < 0.01) and cap inflammation (P < 0.05). No associations were observed between testosterone levels and plaque features in women. Endogenous E2 levels were inversely associated with neovascularization (P < 0.05) and plaque and cap inflammation (P < 0.001) in men, while inversely associated with fibrosis levels in women (P < 0.05). Conclusion: Our findings suggest that higher testosterone and lower E2 levels are associated with unstable plaque composition in men with carotid atherosclerotic disease and may partly explain the higher proportion of unstable plaques observed among men than women of similar age and comorbidity status. Instead, in women, estradiol appears to play a detrimental role in plaque instability by inversely affecting fibrous tissue levels (a key stabilizing feature of plaques).

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)0.001
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.209
Teacher spread0.186 · 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
Published2023
Admission routes2
Has abstractyes

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