Antigen- and IgE Class-Specific Suppression Mediated by T Suppressor Cells of Mice Treated with Glutaraldehyde-Polymerized Ovalbumin
Bibliographic record
Abstract
Various size polymers are obtained following glutaraldehyde treatment of native ovalbumin (OA). OA-POL, approximately 35 X 10(6) daltons, was prepared at the isoelectric point of OA. Treatment of CBA mice with microgram amounts of OA-POL led to efficient antigen-specific suppression of IgE responses. IgG anti-OA antibodies were not suppressed. Transfer of cells from OA-POL-treated donors into normal, unprimed recipients interfered with the ability of these animals to mount a primary or secondary IgE response. In addition, cotransfer of spleen cells from OA-POL-treated mice along with OA (in alum)-primed cells, into irradiated syngeneic recipients resulted in IgE class-specific suppression that was abrogated by treatment of OA-POL donor cells with monoclonal anti-Thy 1.2 + complement. The presence or absence of T cells in the OA-POL population had no effect on IgG levels in the recipients. Analysis of the antigenic properties of OA-POL revealed 5-15% cross-reactivity with native OA as perceived by IgG or IgE antibodies. In contrast, OA-POL was highly cross-reactive at the T cell level as shown functionally by its potent induction of OA-specific, IgE-selective suppressor T cells. The results suggest that the beneficial effects of glutaraldehyde-modified allergens, recently introduced in the immunotherapy of atopic individuals may be due to the preferential exposure on the polymerized protein, of antigenic determinants generating T suppressor cells and to the selective loss of B cell-reactive determinants.
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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) | 0.000 | 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) | 0.001 | 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".