IL-25 promotes TH2 responses through the induction of IL-2 (47.34)
Bibliographic record
Abstract
Abstract Dysregulated CD4+ T helper type 2 (TH2) responses are a predominant feature of allergic inflammation, asthma and ulcerative colitis. Unlike TH1 and TH17 cells that employ distinct innate cell-derived cytokines to initiate their differentiation programs (IL-12 for TH1 cells and IL-6 and TGF-β for TH17 cells), TH2 cell development appears to be regulated primarily by autocrine IL-2 and IL-4. However, the factors that regulate expression of IL-2 in developing TH2 cells remain unclear. Here, we demonstrate that the cytokine IL-25 (IL-17E) induces early expression of IL-2 in developing TH2 cells, enhances TH2 cell proliferation and can promote TH2 cell development in the absence of IL-4Rα signaling. Surprisingly, IL-2 was not required for the IL-25-induced increase in CD4+ T cell proliferation, but the ability of IL-25 to promote TH2 responses was lost in the absence of IL-2. In vivo, treatment of resistant mice with an antibody against IL-2 results in impaired TH2 cell-mediated immunity to Trichuris infection. Together, these results identify IL-25 as an upstream differentiation factor for TH2 cells and suggest that manipulation of IL-25 may provide therapeutic benefits for diseases associated with dysregulated TH2 responses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".