Bone morphogenetic protein 4 mediates bile duct ligation induced liver fibrosis through activation of Smad1 and ERK1/2 in rat hepatic stellate cells
Bibliographic record
Abstract
Bone morphogenetic proteins (BMPs) are the important cytokine involving in cell differentiation especially in bone morphogenesis. Hepatic stellate cells (HSCs) undergo a trans-differentiation during their activation after liver injury. Although it has been demonstrated that BMP2 and BMP4 significantly increased the abundance of smooth muscle alpha actin (alpha-SMA) in cultured HSCs, the expression of BMPs has not been examined during the activation of HSCs. In current study, we documented the expression of BMP4 in bile duct ligation (BDL) rats and HSCs in culture. We have found that the expression of BMP4 was significantly elevated in the liver of BDL rats. The increase in BMP4 protein showed two peaks during 6 weeks after BDL. The expression and phosphorylation of Smad1, ERK1/2 and p38 were also elevated after BDL. Moreover, there was a gradual elevation of BMP4 mRNA abundance during 24 days' in vitro culture of HSCs. Furthermore, BMP4 stimulated phosphorylation of Smad1 and ERK1/2 in HSCs. In conclusion, BMP4 expression was significantly increased in the liver of BDL rats and HSCs in culture. These findings indicate that BMP4 may mediate HSC activation through activation of Smad1 and ERK1/2.
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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 | 0.001 |
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".