Group 2 innate lymphoid cells collaborate with dendritic cells to potentiate memory Th2 cell responses.
Bibliographic record
Abstract
Abstract Rapid memory CD4+ T helper 2 (Th2) cell activation during allergic inflammation requires their recruitment into the affected tissue. Tissue-resident innate immune cells such as dendritic cells (DC) are essential for orchestrating local memory Th2 cell responses. We now know that tissue-resident group 2 innate lymphoid cells (ILC2) are an important innate source of type-2 cytokines in barrier sites. However, it is currently not known if ILC2 remain functionally important after the generation of adaptive Th2 cells. Here we demonstrate that group 2 innate lymphoid cells (ILC2) play a critical role in memory Th2 cell responses. By targeted ILC2 depletion, using ILC2-specific diphtheria toxin receptor expressing iCOS-T mice, we show a profound impairment in Th2 cell localization to the lungs and skin of sensitized mice after allergen re-challenge. Mechanistically, ILC2-derived IL-13 is critical for eliciting IRF4+CD11b+CD103− DCs to produce the Th2 cell-attracting chemokine CCL17. Consequently, the sentinel function of DCs is contingent on ILC2s for the generation of an efficient memory Th2 cell response. These results elucidate a key new innate mechanism in the regulation of the adaptive memory immune response to allergens.
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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) | 0.002 | 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".