CD200‐FC, a novel antiarthritic biologic agent that targets proinflammatory cytokine expression in the joints of mice with collagen‐induced arthritis
Bibliographic record
Abstract
OBJECTIVE: The CD200 receptor (CD200R) is an inhibitory receptor expressed by myeloid cells that is postulated to play an important role in regulation of the immune system. The purpose of this study was to evaluate the efficacy of a soluble ligand of CD200R in established collagen-induced arthritis (CIA) in mice and to analyze changes in cytokine expression following therapy in order to understand its primary mechanism of action. METHODS: Arthritis was induced in DBA/1 mice, and CD200-Fc fusion protein, an isotype control monoclonal antibody, or TNFR-Fc fusion protein was administered over a period of 10 days (total of 4 doses). Cytokine expression in the joint was assessed by flow cytometry, enzyme-linked immunosorbent assay, and quantitative real-time polymerase chain reaction. RESULTS: CD200-Fc significantly reduced the severity of established arthritis at the clinical and histologic levels. The therapeutic effect of CD200-Fc at 1 mg/kg was comparable with that of TNFR-Fc at 4 mg/kg. CD200R was found to be expressed in arthritic synovia and in lymph nodes, yet no changes in T cell cytokine levels (interferon-gamma, interleukin-5 [IL-5], IL-10, IL-17) were detected after CD200-Fc therapy. There was no evidence of an expansion of forkhead box P3-positive regulatory T cells or a change in serum anticollagen IgG1 and IgG2a levels. However, administration of CD200-Fc markedly decreased the expression of messenger RNA for tumor necrosis factor alpha, IL-1beta, IL-10, and matrix metalloproteinase 13 in the joint to the same extent as administration of TNFR-Fc. CONCLUSION: CD200-Fc is an effective therapeutic agent in established CIA that targets proinflammatory cytokine expression in the joint without any obvious systemic immunosuppressive effects. Our findings indicate that CD200-Fc has considerable potential as a novel therapeutic agent in rheumatoid arthritis in humans.
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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) | 0.000 | 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) | 0.001 | 0.000 |
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.
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".