Abstract 331: Effects of Statins on Adiponectin Receptor Expression on Circulating Monocytes in Hypertensive and Dyslipidemic Subjects
Bibliographic record
Abstract
Introduction: Ample evidence exists in support of the anti-inflammatory and athero-protective properties of statins. AdipoR1 and AdipoR2 are receptors of adiponectin, which is an adipose tissue secreted protein with anti-inflammatory properties. Reduced AdipoR1/R2 expression is associated with hypertension, diabetes, and dyslipidemia. The aim of this ongoing study is to investigate whether statin treatment can affect the expression of AdipoR1/R2 on circulating monocytes in high-risk hypertensive and dyslipidemic subjects. Methods: Subjects with hypertension and dyslipidemia were recruited from the Vascular Health Clinic at McGill University, Montreal. All subjects had clinical indication for statin therapy, were statin naïve, and were prescribed low dose statin. After initiation of statin therapy, subjects were followed-up every 3-4 months for the length of one year. Blood samples were collected on the day of recruitment (baseline [pre-statins]) and at each follow-up (f/u) visit. Blood monocytes were isolated using a Magnetic Cell-Sorting technique with CD14+ Human Microbeads. RNA was isolated from monocytes to assess mRNA expression of AdipoR1/R2 using quantitative RT-PCR. Recruitment and f/u visits are ongoing. Results: A total of 13 subjects were recruited with 8 subjects having had at least one f/u visit. Baseline age of subjects (n=8) was 65.9 ± 9.2 years, with 62.5% of subjects being men, and 37.5% diabetic. Statin significantly decreased total cholesterol (pre: 5.8±0.7 mmol/L, post: 4.1±0.5 mmol/L, P= 0.001) and LDL levels (3.9±0.6 mmol/L, 2.1±0.3 mmol/L, P<0.001). When assessing all f/u combined, AdipoR1 and AdipoR2 mRNA expression on circulating monocytes was increased post-statin therapy by 1.37 and 1.41-fold, respectively, when compared to baseline levels, with a significant difference found in AdipoR2 (P=0.05). Furthermore, a trend for progressive increase in AdipoR1/R2 mRNA expression was detected across all f/u. Conclusion: Statin treatment in hypertensive and dyslipidemic subjects led to increased AdipoR1/R2 mRNA expression on circulating monocytes, which illustrates a novel mechanism through which statins may exert its anti-inflammatory effects and protect against cardiovascular diseases.
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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) | 0.002 | 0.000 |
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.
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".