CD36-mediated cholesterol efflux is associated with PPARγ activation via a MAPK-dependent COX-2 pathway in macrophages
Bibliographic record
Abstract
AIMS: Growth hormone-releasing peptides (GHRPs) as CD36 selective ligands feature potent anti-atherosclerotic activity that is associated with an upregulation of the peroxisome proliferator-activated receptor gamma (PPARgamma)-liver X receptor alpha (LXRalpha)-ATP-binding cassette (ABC) transporter pathway. However, the mechanism involved in PPARgamma activation in response to CD36 signalling has yet to be determined. Therefore, the present study aims to elucidate the upstream molecular mechanisms through which EP 80317, a selective CD36 ligand, promotes lipid efflux from macrophages through PPARgamma activation. METHODS AND RESULTS: [3H]-Cholesterol- and [3H]-methylcholine chloride-labelled murine macrophages treated with EP 80317 showed a significant increase in cholesterol and phospholipid efflux to both apolipoprotein A-I and high-density lipoprotein in a CD36-dependent manner. Lipid efflux was associated with enhanced activation of PPARgamma. The signalling pathway by which this CD36 ligand promoted lipid efflux involved an increase in intracellular 15-deoxy-Delta(12,14)-prostaglandin J2 (15d-PGJ2) levels induced by extracellular signal-regulated kinase 1/2 (ERK1/2)-dependent cyclooxygenase-2 (COX-2) expression, leading to PPARgamma activation. In agreement, EP 80317-mediated cholesterol efflux was abrogated by inhibitors of PPARgamma, ERK1/2, and COX-2 as well as ABC transporter inhibitors, whereas a p38 mitogen-activated protein kinase inhibitor had no effect. CONCLUSION: These findings suggest a central role for the prostanoid 15d-PGJ2 in PPARgamma activation and the upregulation of the ABC transporter pathway in response to CD36 activation by synthetic GHRPs analogues. The resulting enhanced cholesterol efflux might explain, at least in part, the atheroprotective effect of selective CD36 ligands.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".