A context-dependent role for IL-21 in modulating the differentiation, distribution, and abundance of effector and memory CD8 T cell subsets
Bibliographic record
Abstract
Abstract The activation of naïve CD8 T cells typically results in the formation of effector cells (TE) as well as phenotypically distinct memory cells that are retained over time. Memory CD8 T cells can be further subdivided into central memory (TCM), effector memory (TEM) and tissue-resident memory (TRM) subsets, which cooperate to confer immunological protection. Using mixed bone marrow chimeras and adoptive transfer studies in which CD8 T cells either do or do not express the IL-21 receptor (IL-21R), we discovered that under homeostatic or lymphopenic conditions IL-21 acts directly on CD8 T cells to favor the accumulation of TE/TEM populations. The inability to perceive IL-21 signals under competitive conditions also resulted in lower levels of TRM phenotype cells and reduced expression of granzyme B in the small intestine. Furthermore, IL-21 differentially promoted the expression of the chemokine receptor CX3CR1 and the integrin α4β7 on circulating CD8 T cells in the mixed bone marrow chimeras and on CD8 T cells primed in vitro. Thus, IL-21 may influence CD8 T cell migration by modulating the expression of CX3CR1 and α4β7. The requirement for IL-21 to establish CD8 TE/TEM and TRM subsets was overcome by acute lymphocytic choriomeningitis virus infection. Nevertheless, memory virus-specific CD8 T cells remained dependent on IL-21 for optimal accumulation in tissues under lymphopenic conditions. Overall, this study reveals a context-dependent role for IL-21 in sustaining effector-phenotype CD8 T cells and influencing their migratory properties, accumulation, and functions.
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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) | 0.000 | 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".