Role of Smad3, acting independently of transforming growth factor‐β, in the early induction of Wnt‐β‐catenin signaling by parathyroid hormone in mouse osteoblastic cells
Bibliographic record
Abstract
Parathyroid hormone (PTH) exerts an anabolic action on bone but the mechanisms are incompletely understood. We showed previously that PTH interacts with the canonical Wnt-beta-catenin signaling pathway via the transforming growth factor (TGF)-beta signaling molecule, Smad3, to modulate osteoblast differentiation and apoptosis. Here, we examined which actions of Smad3 are TGF-beta-independent in stimulating the osteoblast phenotype and PTH-induced Wnt-beta-catenin signaling. For this, the TGF-beta receptor type 1 [activin receptor-like kinase (ALK5)] inhibitor (SB431542), and a Smad3 mutant in which the site normally phosphorylated by ALK5 is mutated from SSVS to AAVA, was used. PTH induced total beta-catenin and reduced phosphorylated beta-catenin levels at 1, 6, and 24 h in mouse osteoblastic MC3T3-E1 cells. Transient transfection of Smad3AAVA inhibited the PTH induction of total beta-catenin and reduction of phosphorylated beta-catenin levels at 6 and 24 h, but not at 1 h, indicating that the early effects occur independently of TGF-beta receptor signaling. On the other hand, MC3T3-E1 cell clones in which Smad3AAVA was stably expressed demonstrated elevated beta-catenin levels, although alkaline phosphatase (ALP) activity and mineralization were unaltered. In contrast, MC3T3-E1 cell clones in which wild-type Smad3 was stably expressed exhibited increased ALP activity and mineralization that were decreased by the ALK5 inhibitor, SB431542, although the beta-catenin levels induced in these cells were not modulated. In conclusion, the present study indicates that PTH induces osteoblast beta-catenin levels via Smad3 independently of, and dependently on, TGF-beta in the early and later induction phases, respectively.
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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".