Intravenous immunoglobulin drives regulatory B cell expansion in the absence of endogenous regulatory T cells (IRC11P.436)
Bibliographic record
Abstract
Abstract We have shown that induced regulatory T cells (iTreg) are necessary and sufficient to rescue antigen-challenged mice in a murine model of allergic airways disease (AAD). Intravenous immunoglobulin (IVIg) treatment of wild-type mice sensitized and challenged to antigen induces Treg in a dendritic-cell (DC) dependent mechanism. In the present study, DEREG mice (which co-express diphtheria toxin (DT) receptor with Foxp3, allowing for selective transient depletion of Treg) were treated with IVIg after depletion of all endogenous Treg with DT. This induces a phenotypically distinct population of functional iTreg. This increase in iTreg is associated with significant augmentation of systemic regulatory B cells (Breg), which express IL-10 and are CD138-high Blimp-low plasmablasts. Under these conditions, all aspects of AAD are ameliorated. However, in animals with an intact endogenous Treg compartment, Breg are not significantly increased by IVIg treatment. We postulate a balance between regulatory cells which favors Treg, and may shift to Breg in the absence of endogenous Treg. Further work will delineate the Breg:Treg balance and how these regulatory subsets contribute to suppression of allergic inflammation.
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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) | 0.002 | 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".