IFN-γ-Mediated Inhibition of Human IgE Synthesis by IL-21 Is Associated with a Polymorphism in the <i>IL-21R</i> Gene
Bibliographic record
Abstract
IL-21 is a cytokine produced by CD4+ T cells that has been reported to regulate human, as well as, mouse T and NK cell function and to inhibit Ag-induced IgE production by mouse B cells. In the present study, we show that human rIL-21 strongly enhances IgE production by both CD19+ CD27- naive, and CD19+ CD27+ memory B cells, stimulated with anti-CD40 mAb and rIL-4 and that it promotes the proliferative responses of these cells. However, rIL-21 does not significantly affect anti-CD40 mAb and rIL-4-induced Cepsilon promoter activation in a gene reporter assay, nor germline Cepsilon mRNA expression in purified human spleen or peripheral blood B cells. In contrast, rIL-21 inhibits rIL-4-induced IgE production in cultures of PBMC or total splenocytes by an IFN-gamma-dependent mechanism. The presence of a polymorphism (T-83C), in donors heterozygous for this mutation was found to be associated not only with lower rIL-21-induced IFN-gamma production levels, but also with a lower sensitivity to the inhibitory effects of IL-21 on the production of IgE, compared with those in donors expressing the wild-type IL-21R. Taken together, these results show that IL-21 differentially regulates IL-4-induced human IgE production, via its growth- and differentiation-promoting capacities on isotype-, including IgE-, committed B cells, as well as via its ability to induce IFN-gamma production, most likely by T and NK cells, whereas the outcome of these IL-21-mediated effects is dependent on the presence of a polymorphism in the IL-21R.
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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 | 0.001 |
| 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".