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Record W4391123121 · doi:10.1161/strokeaha.123.044840

Circulating Sex-Specific Markers of Plaque Instability in Women and Men With Severe Carotid Atherosclerosis

2024· article· en· W4391123121 on OpenAlexaff
Karina Gasbarrino, Huaien Zheng, Stella S. Daskalopoulou

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineInternal medicineCardiologyStroke (engine)

Abstract

fetched live from OpenAlex

BACKGROUND: Sex-specific differences in plaque composition and instability underscore the need to explore circulating markers for better prediction of high-risk plaques. This cross-sectional study aims to (1) investigate differences in lipid, immune, and adipokine circulating profiles between men and women with stable versus unstable plaques and (2) identify circulating markers that can better classify men and women according to plaque instability. METHODS: Preoperative blood samples and plaque specimens were collected from consecutive men and women with carotid artery stenosis ≥50% and who underwent a carotid endarterectomy between 2009 and 2018. Adipokine, lipid, and immune profiling was conducted. Plaque stability was determined by gold-standard histological classifications. Statistical analyses, including χ 2 , ANOVA, Kruskal–Wallis, and logistic regression, assessed differences in plaque features and blood parameters between men and women with stable and unstable plaques. RESULTS: Of 470 recruited patients (aged 70.8±9.2 years), the final study analyses included 317 men and 143 women (aged 71.0±9.0 years). Men exhibited more unstable plaques ( P <0.001), characterized by increased plaque hemorrhage, larger lipid core, and inflammation ( P <0.001), along with less favorable circulating profiles. Antagonistic interactions between sex and white blood cell (WBC) counts, basophil-to-WBC ratio, and platelet counts influenced plaque instability. In men, low WBC counts, high monocyte-to-WBC ratio, low basophil-to-WBC ratio, and high LDL-C (low-density lipoprotein cholesterol) levels were associated with greater plaque instability (odds ratio, 0.827 [95% CI, 0.713–0.926], 1.158 [95% CI, 1.027–1.305], 0.495 [95% CI, 0.281–0.871], and 1.564 [95% CI, 1.001–2.443], respectively) and more unstable features (ie, inflammation, foam cells, and neovascularization). In women, a high basophil-to-WBC ratio was associated with greater plaque instability (3.142 [95% CI, 1.220–8.093]), hemorrhage, and thrombosis, while a high molecular weight-to-total adiponectin ratio was associated with decreased instability (0.014 [95% CI, 0.000–0.646]) and inflammation. CONCLUSIONS: Our findings demonstrated sex-specific differences, with women displaying more stable plaque phenotypes and favorable circulating profiles compared with men. This proof-of-concept study was also designed as the key first step in exploring novel sex-specific associations between circulating lipid, immune, and adipokine profiles and carotid plaque instability.

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.013
GPT teacher head0.232
Teacher spread0.220 · 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

Citations14
Published2024
Admission routes1
Has abstractyes

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