Increased Interleukin 21 (IL-21) and IL-23 Are Associated with Increased Disease Activity and with Radiographic Status in Patients with Early Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: To investigate the levels of the T helper (Th)17-related cytokines interleukin 17A (IL-17A), IL-21, and IL-23 and their association with disease activity in rheumatoid arthritis (RA). METHODS: In a longitudinal sample set from patients with early RA (< 6 months; n = 40), we measured the plasma cytokine levels of IL-17A, IL-21, and IL-23 and analyzed for correlation with disease activity in 28 joints (Disease Activity Score 28-joint count; DAS28), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and total Sharp score (TSS). In a transverse sample set of patients with chronic RA (> 8 years), using paired peripheral blood mononuclear cells and synovial fluid mononuclear cells, we investigated the cellular expression of IL-17A, IL-21, and IL-23R. RESULTS: Patients with early-stage RA had significantly increased plasma levels of IL-21 and IL-23, but not IL-17A, compared to patients with chronic RA and healthy volunteer controls. Plasma levels of IL-21 and IL-23 after 12 months of treatment correlated with DAS28 and ESR, but not to TSS. Changes in IL-23 plasma levels from time of diagnosis to 12 months correlated with change in DAS28 and with TSS scores at 2 years. The numbers of CD4+ T cells producing IL-21 were significantly increased in the synovial fluid of patients with chronic RA, with only marginal coexpression of IL-21 and IL-17A. CONCLUSION: Our results show a significant association between plasma levels of IL-21 and IL-23 and disease activity in RA, supporting the hypothesis that IL-21 and IL-23 are important pathogenic factors of this disease.
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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 | 0.001 |
| 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) | 0.001 | 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".