Serum and synovial fluid 14-3-3η protein in patients with primary knee osteoarthritis compared with rheumatoid arthritis: relation to functional status and radiographic damage
Bibliographic record
Abstract
Aim of the work The aim of the present work was to examine the association between 14-3-3η protein levels in both serum and synovial fluid (SF) with radiographic damage and physical function in patients with primary knee osteoarthritis (OA) compared with rheumatoid arthritis (RA) patients. Patients and methods This is a cross-sectional study that involved two groups: group 1 included 50 primary knee OA patients, and group 2 included 50 RA patients. All study patients were assessed for serum and SF levels of 14-3-3η protein that was measured through ELISA technique. Functional assessment of OA patients was done using Western Ontario and McMaster Osteoarthritis index (WOMAC). Radiological assessment was evaluated using Kellgren–Lawrence (KL) grading scale. Results The mean age of OA patients was 51.7 ± 10.4 years, disease duration was 24.8 ± 5.2 months, and mean WOMAC and KL grading scores were 18.5 ± 6.5 and 2.0 ± 0.99, respectively. Serum and SF 14-3-3η protein was significantly higher among RA compared with OA (1.5 ± 0.51 and 3.6 ± 1.1 ng/ml vs. 0.24 ± 0.03 and 0.24 ± 0.03, P = 0.004 and 0.018, respectively). There were no significant differences in serum and SF 14-3-3η protein between male and female OA patients (P = 0.99 and 0.87, respectively). A significant correlation was found between serum levels of 14-3-3η and erythrocyte sedimentation rate (r = 0.49, P = 0.014). The correlations between 14-3-3η protein in OA patients with WOMAC and KL grading scale were weak and not significant (P > 0.05). Conclusions 14-3-3η protein levels were significantly lower in OA patients compared with RA patients. Although 14-3-3η levels were significantly correlated with inflammation, there was no correlation with functional status or radiological damage in knee OA patients.
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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 | 0.001 | 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) | 0.002 | 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".