Potential antioxidant effects of Narcissus tazetta phenolic compounds against cadmium chloride induced hepatotoxicity in Swiss albino mice
Bibliographic record
Abstract
Abstract Narcissus tazetta (Amaryllidaceae) is a medicinal plant, widely used for cut flowers and potted ornamental plant in Tunisia flora. The current study evaluated the phenolic composition and antioxidant properties of its flower extracts and investigated its potential protective activity against cadmium chloride (CdCl2)-induced hepatotoxicity in mice. Adult Swiss mice were exposed either to CdCl2 (0.16 mg/kg bw) or to Narcissus tazetta extract (100 or mg/kg bw) or to their combination. Cadmium chloride and Narcissus tazetta flower extracts were given by intraperitoneal injection and gavage respectively for eight consecutive days. Results indicated that ethanolic flower extracts contained high levels of total phenolic and flavonoid contents along with a strong total antioxidant and 2,2-Diphenyl-1-picrylhydrazyl free radical scavenging activities. High Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS) analysis identified eight phenolic compounds, including rutin, Kaempferol glycosides and chlorogenic acids. The extract also exhibited marked hepato-protective effects against CdCl2 toxicity by reducing hepatic levels of malondialdehyde, advanced oxidation protein products, hydrogen peroxide, metallothioneins and DNA degradation. Additionally, co-administration of Narcissus tazetta flower extracts lowered the plasma activities of transaminases, gamma glutamyl transpeptidase and lactate dehydrogenase, and increased hepatic levels of reduced glutathione, non-protein thiols, vitamin C, and catalase activity. The hepatoprotective effects of the extract were demonstrated by histopathological improvement of liver disorders. The current study provided ethnopharmacological application of Narcissus tazetta flower extracts against CdCl2 induced oxidative stress, suggesting its chemoprevention role of its phenolic compounds as a natural antioxidant.
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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 | 0.000 |
| 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".