Enhanced TCR-induced Apoptosis in Interferon Regulatory Factor 4–deficient CD4+ Th Cells
Bibliographic record
Abstract
Transcription factors of the interferon regulatory factor (IRF) family contribute to the regulation of cell proliferation and apoptosis. Here, we show that CD4(+) T helper (Th) cells lacking IRF4 (IRF4(-/-)) are highly sensitive to apoptosis. After infection of IRF4(-/-) mice with the protozoan parasite Leishmania major, the lesion-draining lymph nodes developed the prototypic lymphadenopathy of wild-type mice after 4 wk, but demonstrated almost total loss of cellularity and enhanced apoptosis after 7 wk. In vitro, activation of IRF4(-/-) CD4(+) Th cells led to greatly increased apoptosis compared with wild-type cells. Coculture of IRF4(-/-) and IRF4(+/+) CD4(+) cells did not increase survival of IRF4(-/-) CD4(+) cells, indicating that the enhanced rate of IRF4(-/-) Th cell apoptosis was neither transferable nor due to lack of a cytokine. Enhanced CD4(+) cell apoptosis was also observed after anti-CD95 mAb treatment, despite normal CD95 expression. Removal of endogenous cytokines, notably interleukin (IL)-4, led to increased and equally high levels of IRF4(-/-) and IRF4(+/+) cell apoptosis, whereas the protective activity of exogenous IL-4 was reduced in IRF4(-/-) CD4(+) cells despite normal expression of the IL-4 receptor. Therefore, IRF4 is central in protecting CD4(+) cells against proapoptotic stimuli.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".