Increased Serum Interleukin 22 in Patients with Rheumatoid Arthritis and Correlation with Disease Activity
Bibliographic record
Abstract
OBJECTIVE: To analyze the role of interleukin 22 (IL-22) in rheumatoid arthritis (RA). METHODS: IL-22 serum levels were measured in 83 patients with established RA under treatment with disease-modifying antirheumatic drugs and in 30 healthy controls matched for age and sex. Patients were assessed for clinical and laboratory variables. Correlations of IL-22 serum levels with disease activity measures [Clinical Disease Activity Index (CDAI) and Disease Activity Score for 28 joints (DAS28)], serological markers, bone erosions, and demographic factors were assessed. Peripheral blood mononuclear cells (PBMC) from 30 patients with RA and 14 controls were purified and stimulated in vitro with phorbol myristate acetate (PMA)/ionomycin. IL-22 production by PBMC and in serum was investigated by ELISA. RESULTS: IL-22 levels were increased in patients with RA compared with controls (mean 432.37 pg/ml and 67.45 pg/ml, respectively; p < 0.001). Levels of IL-22 correlated with DAS28 and CDAI measures. Rheumatoid factor (RF) positivity was correlated with higher levels of IL-22 in patients with RA (mean 575.08 pg/ml; p = 0.001). The presence of bone erosions was associated with high IL-22 levels (p = 0.0001). PBMC stimulated with PMA/ionomycin expressed higher levels of IL-22 in patients with RA than controls but this was not significant (mean 584.75 pg/ml and 295.57 pg/ml; p = 0.553). CONCLUSION: IL-22 is elevated in the serum of patients with established RA. Elevated serum IL-22 allows discrimination between patients with different clinical and laboratory measures and indicates the potential of IL-22 as an additional tool for assessment of activity in RA, particularly in patients with RF antibodies and longterm disease. IL-22 is associated with bone-destructive disease.
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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 | 0.000 | 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".