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Over-expression of CD200 protects mice from dextran sodium sulfate induced colitis (P3286)

2013· article· en· W4313386411 on OpenAlexaff
Zhiqi Chen, Kai Yu, Reginald M. Gorczynski

Bibliographic record

VenueThe Journal of Immunology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsColitisInflammationImmunosuppressionGenetically modified mouseImmunologyFOXP3AzoxymethaneMedicineCancer researchChemistryTransgeneBiologyEndocrinologyInternal medicineCancerColorectal cancerImmune systemBiochemistry

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.012
GPT teacher head0.210
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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