Extracellular Release of the Atheroprotective Heat Shock Protein 27 Is Mediated by Estrogen and Competitively Inhibits acLDL Binding to Scavenger Receptor-A
Bibliographic record
Abstract
We recently identified heat shock protein 27 (HSP27) as an estrogen receptor beta (ERbeta)-associated protein and noted its role as a biomarker for atherosclerosis. The current study tests the hypothesis that HSP27 is protective against the development of atherosclerosis. HSP27 overexpressing (HSP27o/e) mice were crossed to apoE-/- mice that develop atherosclerosis when fed a high-fat diet. Aortic en face analysis demonstrated a 35% reduction (P < or =0.001) in atherosclerotic lesion area in apoE-/-HSP27o/e mice compared to apoE-/- mice, but primarily in females. Serum -HSP27levels were 10-fold higher in female apoE-/-HSP27o/e mice compared to males, and there was a remarkable inverse correlation between circulating HSP27 levels and lesion area in both male and female mice (r(2)=0.78, P < or =0.001). Mechanistic in vitro studies showed upregulated HSP27 expression and secretion in macrophages treated with estrogen or acLDL. Moreover, exogenous HSP27 added to culture media inhibited macrophage acLDL uptake and competed for the scavenger receptor A (SR-A)--an effect that was abolished with the SR-A competitive ligand fucoidan and absent in macrophages from SR-A-/- mice. Furthermore, extracellular HSP27 decreased acLDL-induced release of the proinflammatory cytokine IL-1beta and increased the release of the antiinflammatory cytokine IL-10. HSP27 is atheroprotective, perhaps because of its ability to compete for the uptake of atherogenic lipids or attenuate inflammation.
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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 | 0.001 | 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 | 0.000 |
| 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".