Decursin ameliorates carbon-tetrachloride-induced liver fibrosis by facilitating ferroptosis of hepatic stellate cells
Bibliographic record
Abstract
Decursin possesses the potential to alleviate transforming growth factor (TGF)-β-induced hepatic stellate cells (HSCs) activation. However, the mechanisms by which decursin alleviates hepatic fibrosis remain not fully understood. Our aim is to explore the function of decursin on regulating HSCs’ activation and hepatic fibrosis. The anti-fibrotic effect of decursin was evaluated by Masson and Sirius red staining, and immunohistochemical (IHC) and quantitative real-time PCR (qRT-PCR) analyses for alpha-smooth muscle actin (α-SMA) and collagen type I (Col1α1) expression. Ferroptosis was assessed by measuring iron concentration, glutathione peroxidase 4 (Gpx4), and prostaglandin endoperoxide synthase 2 (Ptgs2) expression, glutathione (GSH) level, lipid peroxidation, and reactive oxygen species (ROS) level. We found that decursin treatment decreased carbon tetrachloride (CCl 4 )-induced liver fibrosis. The primary HSCs isolated from decursin-treated group showed an increased Fe 2+ , lipid ROS level, and decreased Gpx4 and GSH levels compared with HSCs from the model group. Moreover, decursin promoted ferroptosis in activated HSCs in vitro, as evidenced by declined Gpx4 and GSH levels, increased Fe 2+ , ROS, and Ptgs2 levels compared with control. More important, ferroptosis inhibitor destroyed the anti-fibrosis effect of decursin on HSCs. In summary, these data suggest that decursin has potential to treat hepatic fibrosis.
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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) | 0.000 | 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".