Serum and knee synovial fluid matrix metalloproteinase13 and tumor necrosis factoralpha levels in patients with latestage osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to compare serum and synovial fluid levels of matrix metalloproteinase-13 (MMP-13) and tumor necrosis factor-alpha (TNF-α) in 2 stages of osteoarthritis, and investigate their correlation with Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores. METHODS: Forty-two patients (mean age: 64±8.8 years) with grade 3 and grade 4 knee osteoarthritis according to Kellgren-Lawrence criteria were enrolled in the study and underwent total knee arthroplasty. TNF-α and MMP-13 levels were measured preoperatively from venous blood samples and intraoperatively from knee synovial fluid via enzyme-linked immunosorbent assay. Preoperative and 1-month postoperative knee functions were assessed by WOMAC. RESULTS: Grade 4 synovial fluid MMP-13 (4.76±5.82 pg/ml) was elevated compared to grade 3 (3.95±4.45), whereas grade 3 serum MMP-13 (1.128±0.308 pg/ml) was found elevated compared to grade 4 (1.038±0.204) (p=0.438, p=0.430, respectively). Grade 4 serum TNF-α (0.253±0.277) was elevated compared to grade 3 (0.206±0.219), whereas grade 3 synovial fluid TNF-α (0.129±0.052) was elevated compared to grade 4 (0.118±0.014). Positive correlation was observed between synovial fluid MMP-13 levels and postoperative WOMAC scores. Mean serum TNF-α (0.226±0.246 pg/ml) was elevated compared to synovial levels (0.124±1.59), and synovial MMP-13 (4.31±1.24) was elevated compared to serum levels (1.089±1.519). CONCLUSION: Despite the systemic increase in TNF-α levels concordant with osteoarthritis grade, MMP-13 levels are elevated via local manner, with a significant correlation with WOMAC scores.
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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".