Over-expression of CD200 protects mice from dextran sodium sulfate induced colitis (P3286)
Bibliographic record
Abstract
Abstract CD200:CD200R interactions have been shown to lead to potent immunosuppression, resulting in enhanced allograft survival; reduced collagen-induced arthritis; and increased growth of leukemic, lymphoma cells and breast cancer cells. We have investigated the effect of "knockout"of CD200R, or over-expression of CD200 in transgenic mice (CD200tg), on susceptibility to dextran sodium sulfate (DSS) induced colitis in C57BL/6 female mice. Control animals given DSS developed weight loss (~15%) and diarrhoea over 7 days, before slow recovery. These effects were more pronounced in CD200RKO mice, with ~40% mortality at day 7. In contrast CD200tg mice showed attenuation of all symptoms. Immunohistological analysis and protein expression array confirmed severe inflammation in CD200RKO and controls, with loss of villi, inflitration by macrophages, neutrophils and CD3+ cells, and high expression levels of IL-1β and TNF-α in the intestine. In CD200tg mice intestinal tissue showed enhanced inflitration by Foxp3+Tregs, with increased expression of IL-10. Taken together these data suggest for the first time that CD200:CD200R interactions play a role in regulating inflammatory colitis in mice, which may open new avenues for treatment of inflammatory diseases in man.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 | 0.001 |
| 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".