Osteoprotegerin decreases human osteoclast apoptosis by inhibiting the TRAIL pathway
Bibliographic record
Abstract
Osteoprotegerin (OPG) is a secreted decoy receptor that recognizes RANKL, and blocks the interaction between RANK and RANKL, leading to the inhibition of osteoclast differentiation and activation. As OPG is a major inhibitor of bone resorption, we wondered whether OPG could modulate osteoclast survival/apoptosis. Osteoclast apoptosis was evaluated by adding various doses of OPG to human osteoclast cultures obtained from cord blood monocytes. Surprisingly, apoptosis decreased after adding the OPG. We hypothesized that OPG may block its second ligand, TRAIL, which is involved in osteoclast apoptosis. We showed that osteoclasts expressed TRAIL, and that TRAIL levels in the culture medium dose-dependently decreased in presence of OPG, as did the level of activated caspase-8 in osteoclasts. In addition, the expression of TRAIL by osteoclasts was not affected in the presence of OPG. Our findings suggest that OPG inhibits osteoclast apoptosis, at least in part, by binding and thus inhibiting endogenously produced TRAIL in human osteoclast cultures. TRAIL could be an autocrine factor for the regulation of osteoclast survival/apoptosis.
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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) | 0.000 | 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 | 0.001 |
| 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".