Peroxisome Proliferator–Activated Receptor δ Promotes the Progression of Posttraumatic Osteoarthritis in a Mouse Model
Bibliographic record
Abstract
OBJECTIVE: Osteoarthritis (OA) is a serious disease of the entire joint, characterized by articular cartilage degeneration, subchondral bone changes, osteophyte formation, and synovial hyperplasia. Currently, there are no pharmaceutical treatments that can slow the disease progression, resulting in greatly reduced quality of life for patients and the need for joint replacement surgeries in many cases. The lack of available treatments for OA is partly due to our incomplete understanding of the molecular mechanisms that promote disease initiation and progression. The purpose of the present study was to examine the role of the nuclear receptor peroxisome proliferator-activated receptor δ (PPARδ) as a promoter of cartilage degeneration in a mouse model of posttraumatic OA. METHODS: Mouse chondrocytes and knee explants were treated with a pharmacologic agonist of PPARδ (GW501516) to evaluate changes in gene expression, histologic features, and matrix glycosaminoglycan breakdown. In vivo, PPARδ was specifically deleted from the cartilage of mice. Histopathologic scoring according to the Osteoarthritis Research Society International (OARSI) system and immunohistochemical analysis were used to compare mutant and control mice subjected to surgical destabilization of the medial meniscus (DMM). RESULTS: In vitro, PPARδ activation by GW501516 resulted in increased expression of several proteases in chondrocytes, as well as aggrecan degradation and glycosaminoglycan release in knee joint explants. In vivo, cartilage-specific PPARδ-knockout mice did not display any abnormalities of skeletal development but showed marked protection in the DMM model of posttraumatic OA (as compared to control littermates). OARSI scoring and immunohistochemical analyses confirmed strong protection of mutant mice from DMM-induced cartilage degeneration. CONCLUSION: These data demonstrate a catabolic role of endogenous PPARδ in posttraumatic OA and suggest that pharmacologic inhibition of PPARδ is a promising therapeutic strategy.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".