Anti-fibrotic effects of tetrandrine on bile-duct ligated rats
Bibliographic record
Abstract
Tetrandrine (Tet) (C38H42O8N2; molecular weight, 622), an alkaloid isolated from the Chinese medicinal herb Stephania tetrandra, has been shown to elicit anti-inflammatory and anti-fibrotic effects in pulmonary diseases, but the mechanism of action has yet to be investigated. In this study, we tested whether Tet exerts anti-fibrotic effects on rat hepatic fibrosis through anti-NFkappaB pathways. After bile-duct ligation, rats were given Tet (1 or 5 mg/kg) or silymarin (50 mg/kg, as a positive control) by gavage twice daily for 3 weeks. Liver sections were taken for Sirius red quantitative scoring, immunofluorescence double staining of alpha-smooth muscle actin (alpha-SMA) and NFkappaB, and for quantitative determinations of the mRNA expression levels of TGF-beta1, alpha-SMA, collagen 1alpha2, inducible nitric oxide synthase (iNOS), intercellular adhesion molecule 1 (ICAM-1), metallothionein, vascular endothelial growth factor (VEGF), and VEGF type II receptor (VEGFR2) genes. The results showed that both Tet and silymarin treatment significantly reduced the fibrosis scores and hepatic collagen content of BDL rats, compared with no treatment. Both Tet and silymarin treatments decreased the number of alpha-SMA- and NFkappaB-positive cells in fibrotic livers. Moreover, Tet and silymarin treatments attenuated the mRNA expression levels of TGF-beta1,alpha-SMA, collagen 1alpha2, iNOS, ICAM-1, VEGF, and VEGFR2 genes, and induced the mRNA expression of the metallothionein gene. This study suggests that the anti-fibrotic effects of Tet were related to the reduction of fibrosis-related gene transcription, the attenuation of NFkappaB-activated pathways, and the induction of metallothionein gene transcription in the livers of BDL rats.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".