Chemoattractant receptors and lymphocyte egress from extralymphoid tissues: changing requirements during the course of inflammation (94.21)
Bibliographic record
Abstract
Abstract Memory/effector T cells traffic efficiently through extralymphoid tissues entering from the blood and leaving via the afferent lymph. During inflammation, T cell traffic through the affected tissue dramatically increases, however, dynamics and mechanisms of T cell exit from inflamed tissues are poorly characterized. Here we show that, unexpectedly, large numbers of lymphocytes including T cells capable of producing IFN-γ and IL-17 leave the chronically inflamed skin, showing that memory/effector T cells also egress sites of inflammation. Whereas efficient egress from acutely inflamed skin required lymphocyte-expressed CCR7, chronic inflammation promoted CCR7-independent exit. CCR7-independent exit at late time points of inflammation was sensitive to pertussis toxin implying the contribution of alternative chemoattractant receptors. Our data suggest that CCR7 is an important receptor for lymphocyte egress from both resting and inflamed tissues, but that alternative exit receptors come into play during chronic inflammation allowing the egress of CCR7- as well as CCR7+ lymphocytes.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".