Intensive Statin Therapy Compromises the Adiponectin-AdipoR Pathway in the Human Monocyte-Macrophage Lineage
Bibliographic record
Abstract
Background and Purpose- Statins are widely used for cardiovascular disease prevention through cholesterol-lowering and anti-inflammatory effects. Adiponectin, an anti-inflammatory adipokine, acts via two receptors, AdipoR1 and AdipoR2, to exert atheroprotective effects on the vasculature. We investigated whether statins can modulate the adiponectin-AdipoR pathway in the human monocyte-macrophage lineage. Methods- Monocytes were isolated from the whole blood of patients with severe carotid atherosclerosis (cross-sectional study) or from patients with cardiovascular risk factors (longitudinal study) and assessed for AdipoR1 and AdipoR2 gene expression using quantitative real-time polymerase chain reaction. In vitro, THP-1 (Tamm-Horsfall protein 1) macrophages were treated with increasing atorvastatin or rosuvastatin doses for 24- or 72-hours to determine the effect of statins on AdipoR expression and activity. Macrophage cytokine secretion (IL [interleukin]-1β, IL-10, IL-6, and TNF [tumor necrosis factor]-α) was assessed by electrochemiluminescence. Results- AdipoR1 and AdipoR2 mRNA expression on circulating monocytes from patients with carotid atherosclerosis, was significantly lower by 1.36- and 1.17-fold, respectively, in statin users versus statin-naïve patients. Specifically, patients on high doses of atorvastatin (40-80 mg) or rosuvastatin (20-40 mg) had significantly lower AdipoR gene expression versus statin-naïve patients. Similarly, in the longitudinal in vivo study, longer atorvastatin/rosuvastatin treatment (≥5 months) in patients with cardiovascular risk factors resulted in lower AdipoR gene expression on circulating monocytes versus prestatin levels. In vitro, higher statin doses and longer exposure resulted in a greater decrease in AdipoR mRNA expression and greater macrophage secretion of pro-inflammatory cytokines, IL-1β, IL-6, and TNF-α. High statin doses also reduced adiponectin's capacity to suppress intracellular cholesteryl ester levels in oxLDL (oxidized LDL)-loaded macrophages, with rosuvastatin exhibiting higher potency than atorvastatin. Conclusions- Our in vivo and in vitro studies identified a novel pleiotropic property of statins in modulating the adiponectin-AdipoR pathway in the human monocyte-macrophage lineage, where intensive statin therapy compromised the expression and function of adiponectin and its receptors.
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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) | 0.001 | 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".