Dendritic cell-expressed CD103 is required for inhibition of mucosal Th2 cell responses (90.3)
Bibliographic record
Abstract
Abstract Dysregulated mucosal CD4 Th2 cell responses are a feature of several inflammatory diseases including asthma, allergies and some forms of inflammatory bowel disease. The integrin CD103 is expressed primarily on a subset of dendritic cells (DCs) that promote regulatory T cell development and intestinal immune homeostasis. However, the role of CD103 in Th2-dependent immunity has not been tested. Using the helminth parasite Trichuris muris, we identify a critical role for CD103 in specifically limiting Th2 responses in vivo. We find that following infection with Trichuris, CD103-deficient (CD103-/-) mice develop an enhanced Th2 response that is associated with decreased levels of IL-10. While in vitro CD4 T cell differentiation was unaffected by CD103 deficiency, bone marrow-derived CD103-/- DCs induce heightened T cell proliferation and increased IL-13 production under Th2 promoting conditions. The inhibitory role of CD103 appears to be specific for Th2 responses, as CD103-/- mice are protected from disease development in a model of chemically-induced colitis. Taken together, these results suggest that CD103 expression on DCs is critically required to specifically regulate Th2 immune responses in vivo.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".