Abstract 497: Sex Differences in the Relationship Between Pro-Inflammatory Adipokines, Chemerin and Resistin, and Carotid Atherosclerotic Plaque Instability
Bibliographic record
Abstract
Introduction: Sex differences in plaque morphology and composition exist; men develop more unstable plaques than women. Yet, stroke kills more women than men. Despite these differences, no sex-specific guidelines for carotid disease management exist. Thus, markers that reflect sex-specific morphological features in the plaque should be explored for better prediction of stroke risk. Pro-inflammatory adipokines, chemerin and resistin, influence vascular function. Herein we are the first to investigate sex differences in the relationship between carotid plaque instability and the expression of these adipokines. Methods: Subjects with ≥50% carotid stenosis scheduled for a carotid endarterectomy were recruited from McGill-affiliated hospitals. Pre-operative plasma chemerin and resistin levels were measured using ELISA. Stability of carotid plaque specimens was assessed by two gold standard histological classifications. Stable and unstable plaques were immunostained for chemerin, chemerin’s receptor (ChemR23), and resistin. Digital and semi-quantifications assessed the % area of expression as well as staining intensity (mild to high) and % of positively stained macrophages/foam cells. Plaque mRNA expression was assessed by quantitative PCR. Sex-hormone analyses are ongoing. Results: Men (n=171) had more unstable plaque features, i.e., greater hemorrhage (P=0.022), lipid core size (P<0.001), inflammation (P=0.007), cap infiltration (P=0.006), and less fibrous tissue (P<0.001) than women (n=79). Circulating chemerin and resistin levels were similar between men and women and no sex differences were observed in relation to plaque instability. The % area of chemerin and resistin staining in the plaque was greater in unstable vs stable plaques in men only (P=0.040; P=0.005, respectively). Similarly, greater intensity in chemerin, ChemR23, and resistin staining was associated with plaque instability in men only (P<0.001; P=0.013; P=0.033, respectively). In contrast, lower resistin plaque mRNA expression was associated with plaque instability in women only (P=0.040). Conclusion: Our results suggest the possibility of a sex-dependent regulatory mechanism underlying the connection between these adipokines and plaque instability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".