Sodium cromoglycate treatment of CD200R1KO.CD200tg mice enhances graft survival (P2154)
Bibliographic record
Abstract
Abstract Allograft survival is not increased in CD200R1KO mice, lacking the primary inhibitor receptor for CD200, unlike in CD200tg mice. Rejection in both control, and CD200R1KO mice is associated with graft infiltration by activated mast cells, with evidence for degranulation (>80%). There is evidence that alternate CD200Rs in mice can contribute to immunosuppression through altered dendritic cell differentiation, and enhanced induction of Foxp3+Tregs. We asked whether, in CD200R1KO.CD200tg mice, attenuation of mast cell degranulation by sodium cromoglycate could foster enhanced graft survival following induction of Tregs. BALB/c skin grafts were transplanted to 10/group control, CD200tg or CD200R1KO.CD200tg mice, with/without treatment with cromoglycate (150mg/Kg, alternate days). All animals received low-dose rapamycin (0.5mg/Kg), previously shown to prolong survival only in CD200tg mice. Graft survival was monitored daily from d10, and splenic MLC responses measured in vitro on d14/21. Immunohistology was performed on all grafted tissue at d14. Graft survival was increased only in CD200tg mice, and in CD200R1KO.CD200tg mice receiving cromoglycate (p<0.05). This was accompanied by decreased degranulation of graft-infiltrating mast cells, and increased Foxp3+Treg infiltration. Survival was abolished by ongoing infusion of neutralizing anti-CD200 mAb, or infusion of anti-CD200R1/2mAb (in CD200tg or CD200R1KO.CD200tg mice respectively).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".