4-1BB Regulates Effector CD8 T Cell Accumulation in the Lung Tissue through a TRAF1-, mTOR-, and Antigen-Dependent Mechanism to Enhance Tissue-Resident Memory T Cell Formation during Respiratory Influenza Infection
Bibliographic record
Abstract
The TNFR superfamily member 4-1BB is important in the establishment of tissue-resident memory T cells (Trm) in the lung tissue following influenza infection. Moreover, supraphysiological boosting of 4-1BB in the airways during the boost phase of a prime-boost immunization regimen increases the long-lived Trm population, correlating with increased protection against heterotypic challenge. However, little is known about how 4-1BB contributes to the establishment of the lung Trm population. In this study, we show that effects of 4-1BB on lung Trm accumulation are already apparent at the effector stage, suggesting that the major role of 4-1BB in Trm formation is to allow persistence of CD8 T effector cells in the lung as they transition to Trm. Using supraphysiological stimulation of 4-1BB in the boost phase of a prime-boost immunization, we show that the effect of 4-1BB on Trm generation requires local delivery of both Ag and costimulation, is inhibited by rapamycin treatment during secondary CD8 effector T cell expansion, and is dependent on the signaling adaptor TRAF1. The decrease in lung Trm following early rapamycin treatment is accompanied by increased circulating memory T cells, as well as fewer effectors, suggesting a role for mammalian target of rapamycin (mTOR) in the formation of Trm through effects on the accumulation of effector precursors. Taken together, these data point to an important role for 4-1BB, TRAF1, and mTOR in the persistence of CD8 effector T cells in the lung parenchyma, thereby allowing the transition to Trm.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".