CD200+ graft-infiltrating APCs are sufficient for induction of tolerance to skin allografts (169.8)
Bibliographic record
Abstract
Abstract CD200, a molecule of the immunoglobulin supergene family, increases graft survival and suppresses inflammation/acquired immunity after binding to its receptors (CD200Rs). Skin and cardiac allograft survival is increased in transgenic mice over-expressing CD200 under control of a doxycycline-inducible promoter, (CD200tg), along with increased intra-graft expression of mRNAs for genes which alter T cell subset differentiation. We found a decreased ability of CD11c+ or CD11b+ APCs from CD200tg recipients at days 7/14 to induce CTL from control lymph node cells in vitro, and increased induction of Foxp3+Treg by the same APCs. Focused gene array and real-time PCR measurements confirmed that with increased graft survival in CD200tg mice altered chemokines/cytokines expression occurred, in particular of IL-9, a mast cell growth factor. Mast cells infiltrated grafts of control animals also, but in these mice evidence of degranulation was apparent, and fewer Foxp3+Treg were present than in the case of CD200tg mice, where no degranulation was observed. Infusion of a competitive inhibitor of CD200:CD200R interactions, CD200tr, at high concentrations (50μg/mouse iv) caused rapid rejection of grafts in CD200tg mice, with evidence of mast cell degranulation within graft tissue. We conclude that allergic-type responses can break peripheral tolerance with induction of episodes of acute T-cell-mediated inflammation.
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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) | 0.003 | 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".