Antifibrotic effects of bezafibrate and pioglitazone against thioacetamide-induced liver fibrosis in albino rats
Bibliographic record
Abstract
Activation of hepatic stellate cells is a central event in hepatic fibrogenesis that offers multiple potential sites for therapeutic interventions. Peroxisome proliferator-activated receptors are implicated in liver fibrosis. We aimed to evaluate the effect of bezafibrate and pioglitazone on a thioacetamide (TAA) rat model of liver fibrosis and to clarify the possible underlying mechanisms. Rats received intraperitoneal injections of TAA for 6 weeks. Daily oral treatments with bezafibrate or pioglitazone were started with the first day of TAA intoxication. Serum liver function tests, hepatic malondialdehyde (MDA), total nitrite and nitrate (NOx), superoxide dismutase, and hepatic histopathology were assessed to evaluate hepatic damage. Alpha smooth muscle actin (α-SMA) and tissue inhibitor metalloproteinase-1 (TIMP-1) and caspase-3 were also assessed. The TAA group experienced significant deterioration of liver functions, increased oxidative stress, and increased liver tissue NOx. Administration of bezafibrate or pioglitazone resulted in significant improvement of all liver functions and reduced oxidative stress in hepatic tissues. Only administration of bezafibrate significantly reduced NOx levels. Liver tissues from the TAA-treated group showed disrupted normal architecture. Administration of bezafibrate or pioglitazone attenuated this picture. Stronger α-SMA expression was detected in the TAA group. Treatment with bezafibrate or pioglitazone decreased the α-SMA expression.
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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 | 0.001 |
| 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".