Profiling of inflammatory mediators in the synovial fluid related to pain in knee osteoarthritis
Bibliographic record
Abstract
Abstract Background: Inflammatory mediators in the synovial fluid (SF) play critical roles in the initiation and development of pain in knee osteoarthritis (KOA). However, the expression of inflammatory mediators is controversial and the role of SF inflammatory mediators in neuropathic pain is not clear. Therefore, the aim of this study is to identify the SF inflammatory mediators associated with nociceptive and neuropathic pain in KOA. Methods: The levels of IL-1β, IL-6, TNF-α, macrophage colony-stimulating factor, MMP-3, MMP-13, metalloproteinase with thrombospondin motifs 5, calcitonin gene-related peptide, neuropeptide Y, substance P and bradykinin were measured in 86 patients using enzyme-linked immunosorbent assays. Nociceptive pain was measured using the numeric rating scale (NRS), visual analog scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC ) pain score. Neuropathic pain was measured using the PainDETECT questionnaire. Moreover, knee function was evaluated by the WOMAC score and range of motion (ROM) assessments. Radiological grade was defined using the Kellgren-Lawrence (K-L) grading scale. Results: Pain scores measured using different methods were highly correlated to each other. The worse the pain, the worse the K-L grade and knee function were. The expression of IL-1β and IL-6 was increased in the early stage compared with the late stage. The NRS was positively correlated to age, K-L grade, and the WOMAC score and negatively correlated to ROM and TNF-α expression. The VAS was positively correlated to age, K-L grade, and the WOMAC score but negatively correlated to ROM and the levels of IL-1β, IL-6 and TNF-α. The WOMAC pain score was not correlated to any of the measured inflammatory mediators; it correlated to only ROM. The PainDETECT score correlated to only the WOMAC score. The expression of other inflammatory mediators was not correlated to any of the pain scores. Conclusions: IL-1β, IL-6 and TNF-α exhibit higher expression in early stage of KOA than the late stage of KOA and correlated to pain. The measured catabolic enzymes and neuropeptides are not correlated to nociceptive and neuropathic pain. New biomarkers related to pain in the late stage need to be further investigated.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".