Cytokine Synergy in Antigen-Independent Activation and Priming of Naive CD8+ T Lymphocytes
Bibliographic record
Abstract
Activation of naive T cells by antigen requires signaling via the T-cell receptor (TCR) and co-stimulatory receptors. However, in response to homeostatic pressure, T lymphocytes undergo cytokine-driven proliferation without overt antigen stimulation. Homeostatic expansion is more pronounced in the CD8+ T-cell compartment, with memory CD8+ T cells showing intense proliferation resulting from increased responsiveness to IL-15. On the other hand, naive CD8+ T cells require IL-7 and MHC-I to undergo homeostatic expansion, implying the requirement for a basal level of TCR signaling. Probably because of this strict requirement for MHC, earlier reports on antigen-independent stimulation of naive human CD8+ T cells by inflammatory cytokines did not receive much attention. Recently, we and others have shown that naive murine CD8+ T cells undergo proliferation following synergistic simulation by inflammatory cytokines. Such cytokine-driven, antigen-independent activation also "sensitizes" or "primes" naive CD8+ T cells, enabling them to respond robustly to limiting concentrations of cognate antigens, produce effector cytokines abundantly, and display potent cytolytic activity. We propose that cytokine synergy, which induces antigen-independent activation and priming of naive CD8+ T cells, may significantly contribute to the transition from innate to adaptive immune response and to inadvertent activation of autoreactive CD8+ T cells.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".