Secondary biliary cirrhosis in the rat is prevented by decreasing NF-κ B nuclear translocation and TGF-β expression using allopurinol, an inhibitor of xanthine oxidase
Bibliographic record
Abstract
Allopurinol is an inhibitor of xanthine oxidase (XO), and XO is an enzyme that generates great amounts of reactive oxygen species. The aim of this work was to evaluate the efficacy of allopurinol to prevent experimental cirrhosis. Fibrosis and cirrhosis were induced by common bile duct ligation (BDL) for 4 weeks in rats. Animals were divided into 4 groups: sham-operated rats (SHAM); BDL group; BDL plus allopurinol (100 mg·kg⁻¹, p.o.), and SHAM plus allopurinol treatment. Alanine aminotransferase, γ-glutamyl transpeptidase, and alkaline phosphatase were increased in BDL rats but were preserved normal by allopurinol. XO activity was prevented by allopurinol; however, lipophilic and hydrophilic oxidative stress was not prevented by the drug. Allopurinol partially suppresses nuclear factor-κB (NF-κB) nuclear translocation and transforming growth factor-β (TGF-β) expression, and increased the active form of matrix metalloproteinase-13 (MMP-13). Moreover, collagen production induced by BDL was partially but significantly reduced by allopurinol. These findings suggest that allopurinol possesses a hepatoprotective effect probably by modulating proteins such as NF-κB, TGF-β, and MMP-13, helping to protect against liver damage induced by chronic cholestasis and a mechanism independent of oxidative stress.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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".