Adseverin plays a role in osteoclast differentiation and periodontal disease‐mediated bone loss
Bibliographic record
Abstract
Osteoclast differentiation and function are highly dependent on the assembly and turnover of actin filaments, but little is known about the roles of actin binding proteins in these processes. Adseverin (Ads), a member of the gelsolin superfamily of actin capping and severing proteins, regulates actin filament turnover and can regulate the turnover of cortical actin filaments of chromaffin cells during exocytosis. Using a conditional Ads knockout mouse model, we confirmed our previous finding in cultured cells that Ads plays a role in osteoclastogenesis (OCG) and actin cytoskeletal organization in osteoclasts. Here we show that Ads is required for osteoclast formation and that when alveolar bone resorption is experimentally induced in mice, genetic deletion of Ads prevents osteoclast-mediated bone loss. Further, when Ads-null osteoclasts are cultured, they exhibit defective OCG, disorganized podosome-based actin filament superstructures, and decreased bone resorption. Reintroduction of Ads into Ads-null osteoclast precursor cells restored these osteoclast defects. Collectively, these data demonstrate a unique and osteoclast-specific role for Ads in OCG and osteoclast function.
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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 | 0.000 |
| 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".