Abstract 17586: HSP27 Mediated Atheroprotection Requires GM-CSF Induction: Potential Role in Reverse Cholesterol Transport? <i>(Best of Basic Science Abstract)</i>
Bibliographic record
Abstract
Introduction: Previously, we demonstrated that Heat Shock Protein 27 (HSP27) reduces experimental atherogenesis and patients with elevated serum HSP27 levels are relatively protected against future CV events. We previously reported that extracellular HSP27 activates the NF-kB pathway and increases the expression of GM-CSF. While the potential atheroprotective role of GM-CSF remains controversial, clinical reports highlight its effect on reducing serum cholesterol levels. We now hypothesize that GM-CSF plays an important role in HSP27-mediated atheroprotection, potentially by up-regulating reverse cholesterol transport (RCT). Methods / Results: 1. NF-KB signaling in vitro: Treatment of macrophages with recombinant HSP27 (rHSP27) activated NF-kB 15-fold via TLR-4 (NF-kB reporter gene assay; controls: truncated rHSP27 peptide and TLR-4 deficient cells; p<0.05). While rHSP27 substantially induced GM-CSF expression and secretion (300- and 400-fold respectively; p<0.05) both processes were blocked by NF-kB inhibitors. 2. In vivo role of GM-CSF induction in HSP27-mediated atheroprotection: Aortic atherogenesis in apoE null treated with rHSP27 was reduced by an expected 40%, while ApoE null / GM-CSF null did not respond to rHSP27 treatment. Moreover, apoE null / GM-CSF null macrophages expressed ~33% lower levels of the reverse cholesterol transporters, ABC-A1 and ABC-G1. 3. rHSP27 & Reverse Cholesterol Transport: THP-1 macrophages pre-treated with oxLDL and incubated with rHSP27 for 24h showed enhanced mRNA and protein expression of ABCA1 and ABCG1 (p<0.01). In a RCT assay, THP-1 macrophages labeled with NBD-cholesterol and treated with rHSP27 for 24h before being incubated with apoA1 or HDL showed increased cholesterol efflux compared to controls (p<0.0001 for both). Conclusion: HSP27 up regulates expression of GM-CSF that appears to play an important role in RCT-mediated atheroprotection.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".