The Effect of Hapten-Specific Suppression of IgE on Antigen-Induced Histamine Release from Mouse Peritoneal Mast Cells
Bibliographic record
Abstract
Subcutaneous injections of a mixture of dinitrophenylated ovalbumin (DNP3-OA) and dextran sulfate into Swiss-Webster mice elicited short-lived primary and long-lasting secondary IgE antibody responses to both DNP and OA. Histamine was released on in vitro challenge with antigen (OA or DNP22-BSA) of washed peritoneal mast cells (PMC) obtained from mice during a primary or a secondary IgE response. Administration of an intravenous injection of a tolerogenic conjugate of DNP8-mouse gamma-globulin, either prior to immunizationor during an ongoing IgE response, resulted in almost complete disappearance of circulating anti-DNP IgE antibody and in a very marked decrease in histamine release from PMC on challenge with DNP22-BSA. However, the IgE response to OA of these mice and the histamine release from their PMC on challenge with OA were not affected. Moreover, the PMC of mice, which had been tolerized to DNP, could be passively sensitized with serum containing DNP-specific IgE antibody for the release of histamine on DNP22-BSA challenge. The most significant finding of this study is the observation that the time course for the loss of reactivity of PMC to DNP22-BSA, after administration of the tolerogen during an ongoing secondary response, paralleled the decrease in circulating anti-GNP IgE antibody.
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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 | 0.000 |
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".