Phytochemical investigation of Chrysanthellum americanum Vatke and its constituents- a targeted approach for the treatment of leishmaniasis.
Aneela FayazMuhammad YousufAbdoulaye Segdanull Atia-Tul-WahabHumaira ZafarMuhammad KamranRoland Nâg-Tiéro MedaYan WangM Iqbal ChoudharyPublished in: Fitoterapia (2024)
The present study is focused on the isolation and identification of new therapeutic candidates from Chrysanthellum americanum Vatke., and their efficacy against pteridine reductase-1 (PTR1), a valid chemotherapeutic target in the Leishmania parasite. Henceforth, a new compound, chrysanamerine (1), along with 7 known compounds, polyacetylene 2, and flavonoids 3-8, were isolated from C. americanum. Their structures were determined by chemical and spectroscopic analyses and compared with the reported spectroscopic data. All compounds were evaluated for their anti-leishmanial activity against PTR1 via biochemical mechanism-based assay. The in vitro results showed five potential hits including a new compound, chrysanamerine (1), and four known compounds against the PTR1 enzyme. Among them, compound 1 showed a potent enzyme inhibition with an IC 50 of 31.02 ± 2.36 μM, whereas a moderate inhibition was observed in cases of compounds 5 and 6 (IC 50 = 59.86 ± 3.32, and 45.32 ± 3.5 μM, respectively). Whereas, compounds 3 and 8 showed mild inhibition (IC 50 = 72.12 ± 1.12, and 97.18 ± 1.23 μM, respectively) against PTR1, compared with trimethoprim (positive control) (IC 50 = 21.07 ± 1.6 μM). Moreover, the results were further validated via molecular docking and molecular dynamics (MD) simulations. Compound 1 showed a strong affinity to the binding site with a docking score of -11.83, along with the formation of a stable protein-ligand complex over the trajectory of 100 ns. Besides, compounds 1-8 were found to be non-cytotoxic on BJ (human fibroblast) cells.
Keyphrases
- molecular dynamics
- molecular docking
- molecular dynamics simulations
- density functional theory
- induced apoptosis
- endothelial cells
- electronic health record
- mass spectrometry
- machine learning
- cancer therapy
- risk assessment
- drug delivery
- big data
- human health
- cell death
- signaling pathway
- deep learning
- dengue virus
- amino acid
- pi k akt