IL-15-Independent Proliferative Renewal of Memory CD8+ T Cells in Latent Gammaherpesvirus Infection
Bibliographic record
Abstract
IL-15 is known to be critical in the homeostasis of Ag-specific memory CD8(+) T cells following acute viral infection. However, little is known about the homeostatic requirements of memory CD8(+) T cells during a latent viral infection. We have used the murine gammaherpesvirus-68 (MHV-68) model system to investigate whether IL-15 is necessary for the maintenance of memory CD8(+) T cells during a latent viral infection. IL-15 is not essential either for the initial control of MHV-68 infection or for the maintenance of MHV-68-specific memory CD8(+) T cells. Even at 140 days postinfection, the proportion of CD8(+) T cells recognizing the MHV-68 epitopes were the same as in control mice. The maintenance of these memory CD8(+) T cells was attributable to their ability to turn over in vivo, probably in response to the presence of low levels of Ag. IL-15(-/-) mice had a significantly higher turnover rate within the virus-specific memory CD8(+) T cell population, which was the result of increased levels of viral gene expression rather than an increase in viral load. These cells did not accumulate in the spleens of the IL-15(-/-) mice due to an increased sensitivity to apoptosis as a result of decreased Bcl-2 levels. Intriguingly, memory CD8(+) T cells from latently infected mice failed to undergo homeostatic proliferation in a naive secondary host. These data highlight fundamental differences between memory CD8(+) T cells engaged in active immune surveillance of latent viral infections vs memory CD8(+) T cells found after acute viral infections.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| 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".