Hyaluronan‐binding by CD44 reduces the memory potential of activated murine CD8 T cells
Bibliographic record
Abstract
Abstract Expansion and death of effector CD8 T cells are regulated to limit immunopathology and cells that escape contraction go on to generate immunological memory. CD44, a receptor for the extracellular matrix component hyaluronan, is a marker of activated and memory T cells. Here, we show with a murine model that the increase in CD44 expression and hyaluronan binding induced upon CD8 T cell activation was proportional to the strength of TCR engagement, thereby identifying the most strongly activated T cells. When CD44 −/− and CD44 +/+ OT‐I CD8 T cells were adoptively transferred into mice challenged with Listeria ‐OVA, there was a slight increase in the percentage of CD44 +/+ cells at the effector site. However, CD44 +/+ cells were out‐competed by CD44 −/− cells after the contraction phase in the lymphoid tissues, and the CD44 −/− cells preferentially formed more memory cells. The hyaluronan‐binding CD44 +/+ CD8 effector T cells showed increased pAkt expression, higher glucose uptake, and were more susceptible to cell death during the contraction phase compared to non‐binding CD44 +/+ and CD44 −/− OT‐I CD8 T cells, suggesting that CD44 and its engagement with hyaluronan skews CD8 T cells toward a terminal effector differentiation state that reduces their ability to form memory cells.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".