New Perspective in Osteoarthritis: The OPG and RANKL System as a Potential Therapeutic Target?
Bibliographic record
Abstract
Bone remodelling is tightly regulated by a molecular triad composed of OPG/RANK/RANKL. The receptor activator of NF-kappaB ligand (RANKL) (localized on osteoblasts) enhances osteoclastogenesis via interaction with its receptor RANK (localized on osteoclasts), whereas osteoprotegerin (OPG) (produced by osteoblasts) inhibits this osteoclastogenesis by binding to RANKL. The equilibrium between OPG and RANKL plays a crucial role in the pathophysiology of bone. Although some studies have shown the efficacy of OPG as a therapeutic agent against bone resorption, its bioavailability and mechanism of action after binding to RANKL have only recently been studied. A mechanistic investigation based on what becomes of OPG after binding to cells expressing membranous RANKL demonstrated an internalization process of OPG through the clathrin pathway prior to proteasomal and/or lysosomal degradation. Interestingly, the OPG internalization process reduced the half-life of RANKL. Recent evidence has shown that subchondral bone alterations in osteoarthritis (OA) are intimately involved in cartilage degradation, and that OPG/RANKL may be implicated. Data show that human OA subchondral bone osteoblasts have abnormal OPG and RANKL levels and consequently an altered OPG and RANKL ratio. Further data also reveal the involvement of some osteotropic factors in these altered levels and that some of these factors generally target RANKL with a differential modulation of the RANKL isoforms. Altogether, data suggest that this system could be targeted as a new strategy for the treatment of OA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".