Rhamnus alaternus aqueous extract enhances the capacity of system redox defence and protects hepatocytes against aluminum chloride toxicity in rats
Bibliographic record
Abstract
Abstract Background This study was designed to evaluate the protective effects of a Rhamnus alaternus aqueous extract (RAAE) on aluminum chloride-induced hepatotoxicity in rats. A preliminary phytochemical study and antioxidant activity tests of the extract were performed. Methods A preliminary phytochemical study and antioxidant activity tests of the extract were performed. For the in vivo study, twenty-four male rats were divided into four groups. The control group (C); the RAAE group treated with 250 mg/kg b.w RAAE; the AlCl3 group, which received 50 mg/kg b.w AlCl3; and the AlCl3/RAAE group that was treated with AlCl3 plus RAAE. Results The RAAE contains several phenolic compounds. This plant extract showed a high radical scavenging effect and high antioxidant activity. Administration of AlCl3 resulted in a significant increase in the activities of aspartate aminotransferase and alanine aminotransferase (AST, ALT), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) and significant decreases in the plasma concentrations of total proteins and albumin. Moreover, AlCl3 induced a hepatic pro-oxidant effect leading to an increase in malonaldehyde (MDA) and carbonyl protein contents, the depletion of the content of reduced glutathione (GSH) and a decrease in the antioxidant enzymatic activities of superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx). However, RAAE supplementation with AlCl3 treatment significantly decreased the levels of MDA and carbonyl proteins and markedly restored the activities of the antioxidant enzymes. These results are supported by the improvement in liver tissue restoration. Conclusions The Rhamnus alaternus aqueous extract was shown to have effective antioxidant activity owing to its phenolic compounds protecting against AlCl3-induced liver oxidative damage.
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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 | 0.000 | 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) | 0.001 | 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".