Abstract 12771: When Auto-Antibodies Potentiate: The Paradoxical Signalling Role of Anti-HSP27 Auto-Antibody Immune Complexes Improves Athero-Protection
Bibliographic record
Abstract
Introduction: While we recently demonstrated that elevated serum levels of the Heat Shock Protein (HSP27) are athero-protective (JACC 2013), we are cognizant of the presence of anti-HSP27 auto-antibodies in human serum that, intuitively, might attenuate the salutary functions of this protein. Interestingly, we note higher levels of anti-HSP27 auto-antibodies in healthy controls compared to CAD patients. Hypothesis: Taking an iconoclastic perspective, we posit that auto-antibodies to HSP27 function to enhance the athero-protective effects of HSP27. Methods / Results: Briefly, we reassessed a number of the mechanistic published parameters of the athero-protective effects of HSP27 but now in the presence of anti-HSP27 auto-antibodies. Conclusion: Anti-HSP27 auto-antibodies enhance the athero-protective effects of HSP27 by augmenting internalization of the protein, increasing NF-kB signalling and unexpectedly producing a less inflammatory cellular milieu. Hence, there is the potential to develop HSP27 immunization strategies for the prevention and/or treatment of atherosclerosis.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".