Antibodies to mutated citrullinated vimentin and anti-cyclic citrullinated peptide antibodies in inflammatory bowel disease and related arthritis
Bibliographic record
Abstract
BACKGROUND: Antibodies that react with citrullinated proteins (anti-mutated citrullinated vimentin [anti-MCV] and second-generation anti-cyclic citrullinated peptide antibodies [anti-CCP2]) are markers for rheumatoid arthritis. Recent studies have demonstrated that these antibodies are present in other arthropathies including the spondyloarthritis, psoriatic arthritis, and juvenile idiopathic arthritis. Arthritis associated with inflammatory bowel disease (IBD) takes various forms, with some shared similarities with classic spondylarthropathies. Our objective was to investigate the role of anti-MCV and anti-CCP2 as potential biomarkers in IBD and related arthritis. METHODS: In all, 125 IBD patients (71 males, 54 females) were compared to 81 age- and sex-matched healthy controls. Anti-MCV and Anti-CCP2 IgG were measured using an enzyme linked immunosorbent assay. RESULTS: In the 125 IBD patients (mean age 32.6 ± 12.3 years), 44 (35.2%) had ulcerative colitis and 81 (64.8%) had Crohn's disease. Forty-four (35.2%) IBD patients developed arthritic manifestations. Antibody positivity was observed in 24/125 (19.2%) IBD patients and in 18/81 (22.2%) healthy subjects. The proportion of anti-MCV positivity among IBD patients and healthy individuals were similar: 16.8% vs. 16.0%, P = 0.887. Anti-CCP2 positivity among IBD patients and healthy individuals was also comparable: 6.4% vs. 6.2%, P = 0.948. Similarly, the presence of anti-MCV and anti-CCP2 antibodies was not different among IBD patients with and without arthritis. The mean titers of antibodies were low: anti-MCV (29.6 ± 7.5 U/mL) and anti-CCP2 (27.6 ± 4.0 U/mL) in IBD patients with arthritis. CONCLUSIONS: Autoantibodies to citrullinated proteins were low in IBD-related arthritis. These findings suggest that these antibodies are not useful biomarkers in IBD to predict who may develop IBD-related arthropathy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".