<i>In vivo</i> accumulation of T cells in response to IL‐2/anti‐IL‐2 mAb complexes is dependent in part on the TNF family ligand 4‐1BBL
Bibliographic record
Abstract
Immune complexes combining IL-2 with particular anti-IL-2 antibodies can be used to selectively expand regulatory T cells or memory T cells. Combining IL-2 with anti-IL-2 (Clone S4B6) greatly enhances the biological potency of IL-2 in vivo leading to selective expansion of CD8 memory T cells and NK cells compared with regulatory T cells. Here we show that in vivo administration of IL-2/anti-IL-2 mAb (IL-2/mAb) complexes induces 4-1BB expression on both adoptively transferred antigen-specific memory CD8 T cells as well as on endogenous memory phenotype cells. Remarkably, the accumulation of adoptively transferred memory CD8 T cells following in vivo IL-2/mAb-complex treatment was found to be dependent in part on the presence of 4-1BBL in the host. These effects were independent of IL-2-induced cell division, suggesting that 4-1BBL-induced survival signals contribute to IL-2/mAb-complex-induced T-cell accumulation in vivo.
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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 | 0.001 | 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".