IL-15-Dependent Induction of 4-1BB Promotes Antigen-Independent CD8 Memory T Cell Survival
Bibliographic record
Abstract
Mice lacking CD137L (4-1BBL) show normal primary expansion and contraction of the CD8+ T cell response to influenza virus, but exhibit a defect in Ag-specific CD8+ T cell numbers at 3-6 wk postinfection. Previous results showed that the decrease in CD8+ T cell numbers in this model is not due to a programming defect during primary expansion. Thus, it appears that 4-1BB/4-1BBL interactions control the number of surviving CD8+ effector memory cells, late in the primary response. In this report, we asked how 4-1BB on T cells could play a role after Ag has apparently been cleared from the host. We show that IL-15, a cytokine involved in regulation of CD8+ memory T cell survival, induces the expression of 4-1BB on CD8+CD44(high) memory phenotype T cells, but not on CD4+ T cells. The Ag-independent induction of 4-1BB by IL-15 was dependent on MAPK p38 and ERK activation. Transfer of in vitro-generated OT-I CD8+ memory T cells into unimmunized wild-type or 4-1BBL-deficient hosts revealed a 2- to 3-fold survival advantage when 4-1BBL was present, recapitulating the effect seen in the endogenous response to influenza in mice. Decreases in the overall number of memory CD8+ T cells were also observed in the bone marrow of unmanipulated 4-1BBL-deficient mice. These data suggest a model whereby 4-1BB expression on memory CD8+ T cells, perhaps due to encounter with IL-15 in the bone marrow, allows 4-1BB/4-1BBL interactions to maintain memory CD8 T cell survival in the absence of Ag.
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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".