Zingerone stimulates osteoblast differentiation by increasing <scp>Smad1</scp>/5/9‐mediated <scp>HO</scp>‐1 expression in <scp>MC3T3‐E1</scp> cells and primary mouse calvarial cells
Bibliographic record
Abstract
Zingerone is a non-volatile compound found mainly in dried ginger. Zingerone increases the expression of osteogenic markers and has antioxidant effects. A previous study showed that zingerone accelerated osteoblast differentiation by suppressing the expression of Smad7, a member of the inhibitory Smad (I-Smad) family. However, it is not known if zingerone can induce osteoblast differentiation by regulating Smad1/5/9, a member of the receptor-regulated Smad (R-Smad) family. In addition, osteoblast differentiation induced by Smad1/5/9 mediated increases in the expression of heme oxygenase 1 (HO-1) has not been reported. This study investigated the effects of zingerone on osteoblast differentiation and confirmed the relationship between Smad1/5/9 and HO-1. Zingerone increased the expression of osteogenic genes including runt-related transcription factor 2 (Runx2), distal-less homeobox (Dlx5) and osteocalcin (OC) and also promoted Smad1/5/9 phosphorylation. Interestingly, HO-1 expression was also elevated by zingerone, and an inhibitor of HO-1 (Sn[IV] protoporphyrin IX dichloride [SnPP]) suppressed the zingerone-induced increase in HO-1 expression and expression of osteogenic marker genes such as Dlx5, Runx2 and OC. Protein phosphatase 2A Cα (PP2A Cα, an inhibitor of Smad1/5/9) suppressed the zingerone-induced increase in HO-1 expression and expression of osteogenic marker genes. The zingerone-induced increase in HO-1 luciferase activity was suppressed by PP2A Cα. Taken together; our data demonstrate that zingerone promotes osteoblast differentiation by increasing Smad1/5/9 mediated HO-1 expression.
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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".