Tregitope-mediated antigen-specific tolerance induction in autoimmune and allergic disease in vivo. (THER5P.831)
Bibliographic record
Abstract
Abstract Tregitopes are a novel class of therapeutic compounds that harness the activity of regulatory T cells (Tregs) and represent a promising new approach for the treatment of autoimmune and inflammatory diseases. Tregitopes are Treg epitopes found in IgG that provide beneficial immunomodulatory effects, paralleling those attributed to intravenous immunoglobulin (IVIG), in vitro and in vivo. When APCs present Tregitopes to Tregs, APC expression of MHC II, CD80, and CD86 are decreased; expression of the tolerance-associated marker ILT3 is increased. These results are consistent with reported effects of IVIG (Bayry et al. Blood, 2003, 101:758) and the IgG-derived peptide hCDR1 (Sela et al. Immunology, 2009, 128:395). Tregitopes also cause CD4+CD25+FoxP3+ Treg to expand and produce IL-10 in vitro. Evaluation of Tregitope effects in mouse models of MS (EAE), OVA-induced allergic airway disease, and AAV-mediated gene transfer show that effector T cells are modified in the presence of Tregitopes. In OVA-induced allergic airway disease, we observed significant and reproducible expansion of Tregs in conjunction with decreased airway reactivity comparable to, if not greater than, IVIG. We have additional unpublished evidence demonstrating the antigen specificity of tolerance induction using Tregitopes in conjunction with target antigens. Formulated with or without the target antigen, Tregitopes represent a promising new treatment for human immune-mediated disease.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".