CD1d-unrestricted human NKT cells release chemokines upon Fas engagement
Bibliographic record
Abstract
Attempts at inducing allograft immune privilege by enforced Fas ligand expression have shown accelerated rejection mediated by neutrophils. While it has been proposed that Fas ligand was directly chemotactic toward neutrophils, several lines of evidence argue for an indirect recruitment mechanism. This question was addressed by using in vitro migration assays that used highly purified human leukocyte subsets. Granulocytes did not migrate in response to Fas engagement and required the presence of T cells expressing several natural killer (NK) cell markers. These rare CD8 memory T cells expressed T and NK cell markers and were not restricted to CD1d, showing that they are distinct from conventional natural killer T (NKT) cells. These cells were able to kill both NK-sensitive and -insensitive targets and secreted several CC and CXC chemokines active toward granulocytes, monocytes, and NK cells upon Fas engagement. Chemotactic factor release depended on caspase activity, in the absence of NKT cell apoptosis. The ability of CD1d-unrestricted NKT cells to recruit innate immune system cells might play a role in cancer cell eradication and contribute to inflammatory diseases.
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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) | 0.002 | 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; 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".