| Autor: |
El-Hawwary SS; Department of Pharmacognosy, Faculty of Pharmacy, Cairo University , Cairo , Egypt., Saber FR; Department of Pharmacognosy, Faculty of Pharmacy, Cairo University , Cairo , Egypt., Abd Almaksoud HM; Department of Pharmacy, New Al Kaser Alini hospital , Cairo , Egypt., Elimam H; Department of Biochemistry, Faculty of Pharmacy, University of Sadat city , Egypt.; Department of Medicine, McGill University Health Centre, National Research Institute, McGill University , Montreal , Quebec , Canada., Sayed AM; Department of Pharmacognosy, Faculty of Pharmacy, Nahda University , Beni-Suef , Egypt., Abdelmohsen UR; Department of Pharmacognosy, Faculty of Pharmacy, Minia University , Minia , Egypt.; Department of Pharmacognosy, Faculty of Pharmacy, Deraya University , New Minia City , Minia , Egypt. |
| Abstrakt: |
The phytochemical profiles of leaves and pollen grains' extracts of S. causiarum , S. palmetto and S. yapa were investigated and characterised by LC-HR-MS-based metabolomic analysis. Further, biomarker metabolites were determined using multivariate and clustering analysis. S. causiarum leaves extract along with both S. palmetto and S. yapa pollen grains extracts showed interesting in vitro cytotoxic activity using MTT assay against PC-3 cell lines. While, both S. yapa leaves and pollen grains-derived extracts and S. causiarum pollen grains-derived extracts were active against A-172 cell line. OPLS-DA models was generated, to putatively determine the most active cytotoxic metabolites, these models suggested that alkaloids, flavonoids and phenolic acids are the most important metabolites in the active extracts. In silico analysis (neural-networking-based activity prediction and docking studies) of these top-scoring metabolites further supported OPLS-DA models predictability. This study could be considered as primary step in the in-depth exploration of bioactive natural products from Sabal . |
