Evaluation of Cartilage and Bone Degradation in a Murine Collagen Antibody‐induced Arthritis Model
Bibliographic record
Abstract
The purpose of this work was to validate collagen antibody-induced arthritis (CAIA) model in two mice strains (Balb/c and CD-1) using clinical, biochemical, microstructural and histological techniques. We induced arthritis in mice using a cocktail of collagen type II (CII) antibodies followed by an injection with lipopolysaccharide (LPS) in different doses in Balb/c and CD-1 mice strains. Serum CTX-II levels were measured at study termination and correlated with microscopic severity of joint lesions as determined by a validated scoring systems. Bone involvement was assessed by microcomputer tomography (micro-CT). Balb/c mice developed rapid (day 6) and robust (100%) arthritis, whereas CD-1 mice showed only temporary macroscopic signs of disease. Serum CTX-II levels in Balb/c mice showed a significant increase in cartilage degradation in diseased animals (43-64% compared with non-diseased mice) and was decreased in animals receiving dexamethasone. Correlation of serum CTX-II with the microscopic score was statistically significant (P < 0.01). Micro-CT analysis demonstrated structural damage in bone in the CAIA Balb/c mice, which was prevented by dexamethasone. The CAIA-LPS model provides a useful supplement to currently available animal models of arthritis. This is a rapid onset and robust model; however, the choice of mouse strain should be evaluated carefully.
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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 | 0.001 | 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 | 0.000 | 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".