Quiescence and functional reprogramming of Epstein-Barr virus (EBV)-specific CD8+ T cells during persistent infection
Bibliographic record
Abstract
After acute infection Epstein-Barr virus (EBV)-specific memory CD8+ T cells exit cell cycle, and a proportion of these antigen-experienced cells re-express CD45RA (CD45 which predominantly express exon A). However, the signals involved are not known. We investigated the roles of interleukin 15 (IL-15) and interferon-alpha/beta (IFN-I) in these processes, since these mediators have a crucial but undefined role in the maintenance of CD8+ T-cell memory. We show that IFN-I (but not IL-15) allows activated EBV-specific CD8+ T cells to leave cell cycle without entering apoptosis. This was associated with up-regulation of the cyclin inhibitor p27, but not of CD45RA. In contrast, IL-15 (but not IFN-I) induced "homeostatic" proliferation and CD45RA re-expression by these cells in vitro. Different signals, therefore, induce quiescence and CD45RA re-expression in activated EBV-specific CD8+ T cells. After T-cell receptor (TCR) activation freshly isolated CD45RA+ antigen-experienced CD8+ T cells show poor proliferative activity but are highly cytotoxic and secrete IFN-gamma efficiently. This suggests functional reprogramming toward effector function but away from proliferation. The induction of quiescence and the generation of proliferation-independent effector CD8+ T cells that re-express CD45RA may minimize the impact of replicative senescence in virus-specific populations that would otherwise occur during decades of persistent infection.
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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 | 0.000 | 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 | 0.000 |
| 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 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".