Chrysophanol increases osteoblast differentiation via AMPK/Smad1/5/9 phosphorylation in vitro and in vivo
Bibliographic record
Abstract
Chrysophanol (Chrysophanic acid; CA) is a natural anthraquinone found in Senna tora and rhubarb that has various characteristic features, including the ability to suppress adipogenesis. However, its effects on osteoblast differentiation have not been investigated. Herein, this study aimed to demonstrate the mechanism by which CA induces the osteoblast differentiation. CA increased the expression of osteogenic genes. The staining levels Alkaline phosphatase (ALP) and Alizarin Red S (ARS) were increased by chrysophanol. CA induced osteoblast differentiation through AMP-activated protein kinase (AMPK)/Small mothers against decapentaplegic (Smad1/5/9) activation in MC3T3-E1 cells. In addition, compound C, AMPK inhibitor (Comp. C)-induced cells suppressed osteogenic genes expression and AMPK/Smad1/5/9 activation. Interestingly, AMPK in the CA-induced AMPK/Smad1/5/9 signalling pathway was an upstream regulator of Smad1/5/9. In order to further dissect in bone development, we used a zebrafish model to investigate the effect of CA on bone development. These results suggest that CA stimulated bone development via AMPK/Smad1/5/9. Overall, our results demonstrate that CA promotes osteoblast differentiation via AMPK/Smad1/5/9 expression in vitro and in vivo.
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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) | 0.002 | 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".