ICOS-Mediated Costimulation on Th2 Differentiation Is Achieved by the Enhancement of IL-4 Receptor-Mediated Signaling
Bibliographic record
Abstract
ICOS is the third member of the CD28 family molecules and plays a critical role in many T cell-dependent immune responses. Although accumulated data suggest that ICOS costimulatory signals play an important role in Th2-mediated immune responses, the molecular basis for this selective differentiation mechanism is largely unknown. To clarify this mechanism, we used DO11.10 TCR transgenic ICOS-/- mice and evaluated the nature of ICOS costimulatory signals during the process of Ag-specific activation and differentiation of naive CD4+ T cells. Results obtained from these experiments demonstrated that Ag stimulation of naive CD4+ T cells in the absence of an ICOS signal resulted in impaired Th2 development. Unlike previous reports, we found that primary IL-4 production by these T cells was intact and that IL-4R sensitivity of these T cells was reduced as evidenced by a profound defect in IL-4-induced Stat6 phosphorylation and the early induction of GATA-3. The fact that ICOS ligation of wild-type T cells significantly enhanced IL-4-induced Stat6 phosphorylation and primary GATA-3 induction, but not IL-4 transcription, of naive CD4+ T cells was consistent with the results obtained from ICOS-/- T cell experiments. These observations led us to propose that the predominant effect of ICOS-mediated costimulation on Th2 differentiation is achieved by the enhancement of IL-4R-mediated signaling.
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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) | 0.001 | 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".