Human CD4<sup>+</sup>FOXP3<sup>+</sup> regulatory T cells produce CXCL8 and recruit neutrophils
Bibliographic record
Abstract
One of the defining features of the majority of FOXP3(+) Tregs is their inability to produce typical T-cell-derived cytokines. Little is known, however, about their capacity to produce chemokines. As Tregs are constitutively present in, and rapidly traffic to, non-lymphoid tissues, we hypothesized that they may produce chemokines to direct the composition of cells that infiltrate inflamed tissues. Surprisingly, we found that Tregs produce high amounts of CXCL8 (IL-8), a potent neutrophil chemoattractant. Tregs also produced other CC and CXC family chemokines, including CCL2-5, CCL7, and CXCL10. Whereas ectopic expression of FOXP3 suppressed cytokine production, it significantly induced CXCL8. Moreover, supernatants from Tregs attracted neutrophils via a CXCL8-dependent mechanism. These data provide the first evidence that although classical Tregs are defined by their lack of proinflammatory cytokine production, they secrete significant quantities of chemokines and thus may have an unappreciated role in directing the recruitment of immune cells.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".