Hepatoprotective effects of secoiridoid-rich extracts from Gentiana cruciata L. against carbon tetrachloride induced liver damage in rats
Bibliographic record
Abstract
The objective of this work was to investigate the effects of the methanol extracts of Gentiana cruciata L. aerial parts (GCA) and roots (GCR) against carbon tetrachloride-induced liver injury in rats. Pretreatment with GCA and GCR, containing sweroside, swertiamarin and gentiopicrin in high concentrations, dose-dependently and significantly decreased the levels of serum transaminases, alkaline phosphatase and total bilirubin, whereas an increase in the level of total protein was found compared with the CCl4-treated group. Moreover, oral administration of extracts significantly enhanced antioxidant enzyme activities (superoxide dismutase and catalase), increased the content of glutathione and decreased the content of TBARS. Microscopic evaluations of the liver revealed CCl4-induced lesions and related toxic manifestations that were minimal in the liver of rats pretreated with extracts at the dose of 400 mg per kg b.w. The results suggest that the use of G. cruciata extracts has a merit as a potent candidate in protecting the liver against chemical induced toxicity.
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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".