TRPV-5 Mediates a Receptor Activator of NF-κB (RANK) Ligand-induced Increase in Cytosolic Ca2+ in Human Osteoclasts and Down-regulates Bone Resorption
Bibliographic record
Abstract
Most of the signaling effectors located downstream of receptor activator of NF-kappaB (RANK) activation are calcium-sensitive. However, the early signaling events that lead to the mobilization of intracellular calcium in human osteoclasts are still poorly understood. The Ca(2+)-sensitive fluorescent probe Fura2 was used to detect changes in the intracellular concentration of Ca(2+) ([Ca(2+)](i)) in a model of human osteoclasts. Stimulating these cells with receptor activator of NF-kappaB ligand (RANKL) induced a rapid and significant increase in [Ca(2+)](i). Adding extracellular Ca(2+) chelators, depleting intracellular stores, and the use of a phospholipase C inhibitor all indicated that the Ca(2+) was of extracellular origin, suggesting the involvement of a Ca(2+) channel. We showed that none of the classical Ca(2+) channels (L-, T-, or R-type) were involved in the RANKL-induced Ca(2+) spike. However, the effect of high doses of Gd(3+) did suggest that TRP family channels were present in human osteoclasts. The TRPV-5 channel was expressed in osteoclasts and was mainly located in the cellular area in contact with the bone surface. Furthermore, the RNA inactivation of TRPV-5 channel completely inhibited the RANKL-induced increase in [Ca(2+)](i), which was accompanied in the long term by marked activation of bone resorption. Overall, our results show that RANKL induced a significant increase in [Ca(2+)](i) of extracellular origin, probably as a result of the opening of TRPV-5 calcium channels on the surface of human osteoclasts. Our findings suggest that TRPV-5 contributes to maintaining the homeostasis of the human skeleton via a negative feedback loop in RANKL-induced bone resorption.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".