Abstract 453: Chemerin and Resistin Expression in Carotid Plaque Instability
Bibliographic record
Abstract
Objective: Chemerin and resistin are pro-inflammatory cytokines that have been shown to play a role in atherosclerosis and coronary artery disease. However, their association with carotid atherosclerosis has not been investigated. We sought to assess the relationship between a) circulating chemerin/resistin levels and cerebrovascular symptomatology, and b) chemerin/resistin plaque expression and carotid plaque instability. Methods: Patients scheduled for carotid endarterectomy were recruited from the Royal Victoria and Jewish General hospitals, Montreal, Canada. Blood was drawn pre-operatively and plasma resistin and chemerin were measured using ELISA. Maximum stenosis sections were stained with hematoxylin and eosin and immunostained with anti-CD3 and anti-CD68. Two vascular pathologists used semi-quantitative scales to classify plaque foam cells and inflammatory cells as well as overall plaque instability. RNA was isolated from the area of maximum stenosis, reverse transcribed, and qPCR was performed to measure chemerin and resistin expression. Kruskal-Wallis or Mann-Whitney U tests were used to evaluate differences in resistin and chemerin between groups. Results: In this ongoing study we recruited 169 patients (66.1% men, 74.5% symptomatic) with a mean±SD age of 70.0±9.3 years. To date all 169 patients had blood samples drawn and 100 had plaque chemerin and resistin expression assessed. Symptomatic patients had higher plasma chemerin (230 (179.0-261.3) vs. 201.4 (175.8-228.1) ng/ml, P=0.08) and resistin levels (12.7 (10.2-17.7) vs. 10.8 (7.1-16.0) ng/ml, P=0.02) when compared with asymptomatic patients. Chemerin plaque expression was decreased in plaques with greater number of foam cells and inflammatory cells and in plaques with greater overall instability. Resistin plaque expression was also decreased in plaques with a greater number of foam cells and inflammatory cells. Conclusions: Circulating chemerin and resistin levels are increased in symptomatic patients. Intraplaque chemerin and resistin expression is inversely related to the number of plaque inflammatory cells and instability. Our ongoing work will determine the underlying mechanisms linking chemerin and resistin with atherosclerotic 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 | 0.000 |
| 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) | 0.004 | 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".