Heat Shock Protein 27 Immune Complex Upregulates LDLR Expression Thereby Reducing Plasma Cholesterol and Atherogenesis
Bibliographic record
Abstract
Abstract Elevated Heat Shock Protein 27 levels predict relative freedom from cardiovascular events. In ApoE -/- mice HSP27 over-expression or twice daily subcutaneous injections reduce blood and plaque cholesterol levels, inflammation and atherogenesis. While natural antibodies to HSP27 are present in human blood their role is unknown. Here, we show that blood levels of both HSP27 and anti-HSP27 IgG antibodies are elevated in healthy controls compared to patients with cardiovascular disease. ApoE -/- mice vaccinated with recombinant HSP25 (murine ortholog) develop elevated anti-HSP25 IgG antibodies and reduced levels of cholesterol, inflammation and atherosclerosis. The effects on cholesterol metabolism were divergent: increased hepatic LDLR expression and reduced plasma PCSK9 levels. In vitro , a polyclonal anti-HSP27 IgG antibody combined with rHSP27 to upregulate hepatocyte LDLR expression via an NF-kB-dependent pathway that is independent of SREBP2 expression and intracellular cholesterol levels. HSP27 immunotherapy represents a novel means of lowering not only cholesterol but also PCSK9.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 0.001 |
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".