Transforming Growth Factor-β Induces Osteoclast Ruffling and Chemotaxis: Potential Role in Osteoclast Recruitment
Bibliographic record
Abstract
Transforming growth factor-beta (TGF-beta) is released from the matrix during bone resorption and has been implicated in the pathogenesis of giant cell tumors of bone and the expansion of breast cancer metastases in bone. Because osteoclasts mediate tumor-induced osteolysis, we investigated whether TGF-beta stimulates osteoclast recruitment. Osteoclasts were isolated from rat long bones and time-lapse video microscopy was used to monitor their morphology and motility. Within 5 minutes, TGF-beta (0.1 nM) induced dynamic ruffling, with 65% of osteoclasts displaying membrane ruffles compared with 35% in untreated controls. Over a 2-h period, osteoclasts exhibited significant directed migration toward a source of TGF-beta, indicating chemotaxis. echistatin, an alphavbeta3 integrin blocker that inhibits macrophage colony-stimulating factor (M-CSF)-induced osteoclast migration, did not prevent the migration of osteoclasts toward TGF-beta. In contrast, a beta1 integrin blocking antibody inhibited osteoclast chemotaxis toward TGF-beta but not M-CSF. These data indicate the selective use of integrins by osteoclasts migrating in response to different chemotaxins. In addition, wortmannin and U0126 inhibited TGF-beta-induced chemotaxis, suggesting involvement of the phosphatidylinositol 3 (PI 3) kinase and mitogen-activated protein (MAP) kinase signaling pathways. Physiologically, TGF-beta, may coordinate osteoclast activity by recruiting osteoclasts to existing sites of resorption. Pathologically, TGF-beta-induced osteoclast recruitment may be critical for expansion of primary and metastatic tumors in bone.
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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) | 0.000 | 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".