CGS 21680, an Agonist of the Adenosine (A2A) Receptor, Reduces Progression of Murine Type II Collagen-induced Arthritis
Bibliographic record
Abstract
OBJECTIVE: The aim of our study was to investigate the effect of an adenosine A2A receptor agonist, 2-[p-(2-carboxyethyl)phenylethylamino]-50 ethylcarboxamidoadenosine (CGS 21680), on modulation of the inflammatory response in mice subjected to collagen-induced arthritis (CIA). METHODS: CIA was induced by intradermal injection of 100 μl of emulsion containing 100 μg of bovine type II collagen (CII) and complete Freund's adjuvant (CFA) at the base of the tail. On Day 21, a second injection of CII in CFA was administered. Immunized mice developed erosive hind paw arthritis. Macroscopic clinical evidence of CIA first appeared as periarticular erythema and edema in the hind paws. The incidence of CIA was 100% by Day 27 in the CII challenged mice and the severity of CIA progressed over a 35-day period, with radiographic evaluation revealing focal resorption of bone. The histopathology of CIA included erosion of cartilage at the joint margins. RESULTS: Treatment of mice with CGS 21680 starting at the onset of arthritis (Day 25) ameliorated the clinical signs at Days 26-35 and improved histological status in the joint and paw. The degree of oxidative and nitrosative damage was significantly reduced in CGS 21680-treated mice as indicated by elevated levels of malondialdehyde, formation of nitrotyrosine, and activation of poly(ADP-ribose) polymerase. Plasma levels of proinflammatory cytokines such as tumor necrosis factor, interleukin 1ß (IL-1ß) and IL-6 were also reduced by CGS 21680. Treatment with CGS 21680 also decreased the expression of inducible nitric oxide synthase and cyclooxygenase-2. CONCLUSION: We demonstrate that CGS 21680 exerts an antiinflammatory effect during chronic inflammation and ameliorates the tissue damage associated with CIA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".