IL-13 Regulates the Immune Response to Inhaled Antigens
Bibliographic record
Abstract
The large inhibitory effect of IL-13 blockers on the asthma phenotype prompted us to ask whether IL-13 would play a role in regulating the allergic immune response in addition to its documented effects on structural pulmonary cells. Because IL-13 does not interact with murine T or B cells, but with monocytes, macrophages, and dendritic cells (DCs), we examined the role of IL-13 in the activation of pulmonary macrophages and DCs and in the priming of an immune response to a harmless, inhaled Ag. We found that a majority of cells called "alveolar or interstitial macrophages" express CD11c at high levels (CD11c(high)) and are a mixture of at least two cell types as follows: 1) cells of a mixed phenotype expressing DC and macrophage markers (CD11c, CD205, and F4/80) but little MHC class II (MHC II); and 2) DC-like cells expressing CD11c, CD205, MHC II, and costimulatory molecules. Endogenous IL-13 was necessary to induce and sustain the increase in MHC II and CD40 expression by pulmonary CD11c(high) cells, demonstrated by giving an IL-13 inhibitor as a measure of prevention or reversal to allergen-primed and -challenged mice. Conversely, IL-13 given by inhalation to naive mice increased the expression of MHC II and costimulatory molecules by CD11c(high) cells in an IL-4Ralpha-dependent manner. We found that exogenous IL-13 exaggerated the immune and inflammatory responses to an inhaled, harmless Ag, whereas endogenous IL-13 was necessary for the priming of naive mice with an inhaled, harmless Ag. These data indicate that blockade of IL-13 may have therapeutic potential for controlling the immune response to inhaled Ags.
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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 | 0.001 | 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".