In vivo protective effects of upper zone of growth plate and cartilage matrix associated protein against cartilage degeneration in a monosodium iodoacetate induced osteoarthritis model
Bibliographic record
Abstract
Osteoarthritis (OA) is a degenerative disease affecting the majority of over 65 year old people and characterized by cartilage degeneration, subchondral abnormal changes, and inflammation. Despite the enormous socioeconomic burden caused by OA, currently, there is no effective therapy against it. Upper zone of growth plate and cartilage matrix associated protein (UCMA) is a vitamin K dependent protein and has a critical role in pathophysiological conditions associated with bone and cartilage. However, there is no research on the protective role of intra-articular UCMA treatment in OA pathogenesis. Therefore, we aimed to investigate the potential therapeutic role of UCMA in an in vivo model of OA. We report for the first time that intra-articular UCMA injection ameliorated cartilage degeneration in a monosodium iodoacetate induced OA rat model. Furthermore, the OA-induced activation of nuclear factor kappa B and bone morphogenetic protein 2 signals was attenuated by UCMA. Our results indicated that UCMA decreased cartilage oligomeric matrix protein levels but did not affect interleukin 6, total antioxidant status, and total oxidant status levels in the serum. In conclusion, UCMA exhibited a therapeutic potential in the treatment of OA. This protective effect of UCMA is possibly achieved by reducing the aggrecanase activity and the production of inflammatory cytokines.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".