Osthole Regulates TGF-β1 and MMP-2/9 Expressions via Activation of PPARα/γ in Cultured Mouse Cardiac Fibroblasts Stimulated with Angiotensin II
Bibliographic record
Abstract
PURPOSE: Our previous studies have demonstrated that osthole, an active constituent isolated from the fruit of Cnidium monnieri (L.) Cusson, can prevent isoprenaline-induced myocardial fibrosis in mice, but the underlying mechanism is still unclear. METHODS: The mouse cardiac fibroblasts (CFs) stimulated with angiotensin II (Ang II) were cultured and treated with different concentrations of osthole. The mRNA expressions of peroxisome proliferator-activated receptor (PPAR) α/γ, transforming growth factor β1 (TGF-β1), and matrix metalloproteinase (MMP)-2/9 were detected by reverse transcription polymerase chain reaction method, and the protein expressions of nuclear factor-κB (NF-κB) and TGF-β1 were detected by Western blot method, respectively. RESULTS: Following treatment of cells with osthole at 2.5, 5, 10 and 20 μg/mL, the NF-κB and TGF-β1 expressions were dose-dependently decreased, while the expressions of PPARα/γ and MMP-2/9 were dose-dependently increased. After the cells were preincubated with PPARα antagonist (MK886) or/and PPARγ antagonist (GW9662), the inhibitions of osthole on the NF-κB and TGF-β1 expressions were decreased or completely halted and the increment of osthole on the MMP-2/9 expressions were also decreased or completely cancelled. CONCLUSION: Osthole could inhibit the NF-κB and TGF-β1 expressions by activation of PPARα/γ, and subsequently enhance the MMP-2/9 expressions in cultured CFs, and these effects of osthole may play the beneficial roles in the prevention and treatment of myocardial fibrosis.
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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) | 0.001 | 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 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".