IL-15–Dependent Upregulation of GITR on CD8 Memory Phenotype T Cells in the Bone Marrow Relative to Spleen and Lymph Node Suggests the Bone Marrow as a Site of Superior Bioavailability of IL-15
Bibliographic record
Abstract
CD8 memory T cells are enriched in the bone marrow, a site where these cells are thought to receive homeostatic signals. However, the primary site where CD8 memory T cells receive their cytokine-induced homeostatic signals has recently come under debate. In this study, we demonstrate that the bone marrow contains a fraction of CD8 memory phenotype T cells with elevated expression of glucocorticoid-induced TNFR-related protein (GITR). In contrast, splenic and lymph node memory phenotype T cells have GITR levels similar to those on naive T cells. The bone marrow GITR(hi) memory T cells have a phenotype indicative of cytokine activation, with higher CD122 and lower CD127 than do the GITR(basal) memory T cells. Remarkably, these bone marrow-specific GITR(hi) cells are almost completely ablated in the absence of IL-15, whereas TNFR2 and 4-1BB expression on the CD8 memory T cells are IL-15 independent. Furthermore, adoptively transferred splenic CD8 memory phenotype T cells show IL-15-dependent GITR upregulation upon entry into the bone marrow. This result implies that the selective appearance of GITR(hi) memory phenotype T cells in the bone marrow reflects the local microenvironment rather than a different subset of memory T cells. GITR(-/-) mice have a lower frequency of CD8 memory phenotype cells in the bone marrow, yet the GITR(-/-) cells hyperproliferate compared with those in wild-type mice. Taken together, these data suggest that GITR plays a role in the survival of CD8 memory phenotype T cells and that GITR upregulation represents a precise marker of cells that have responded to IL-15.
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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) | 0.002 | 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".