Biology and Life Sciences Forum (Oct 2023)
Insight into the Alpha-Glucosidase Inhibitory Potentials of <i>Curcuma longa</i> Methanolic Extracts and Phytochemicals: An In Vitro and In Silico Study
Abstract
Diabetes is a metabolic disease of global concern, causing death due to triggered oxidative and inflammatory complications. Alpha-glucosidase has become a popular drug target for managing diabetes. This study, therefore, investigated the potential of Curcuma longa (Tumeric) rhizome methanolic extract (MECL) to inhibit alpha-glucosidase and screened its phytochemical library through molecular biology docking for potential new drug candidates. Quantitative phytochemical analysis of MECL showed that the plant extract was abundant with phenols (790.32 ± 129.20 mg/100 g), alkaloids (494.99 ± 1.27 mg/100 g), flavonoids (171.08 ± 0.04 mg/100 g), and terpenoids (131.99 ± 6.59 mg/100 g). Moreover, in vitro inhibitory studies showed a dose-dependent increase in the inhibition of alpha-glucosidase by MECL, and the maximum inhibition (37.01%) was observed at 30 µg/mL, possibly a better inhibition with increased concentration. Further scrutiny was performed using molecular docking to screen for Turmeric phytochemicals (retrieved from PubChem) with alpha-glucosidase (PDB ID: 3W37) inhibitory potentials. Based on their binding affinity, the top three compounds [Guaiacol (−7.422), Eriodictyol (−5.266), and p-Tolyl-MethylCarbinol (−3.939)] were analyzed for their intermolecular interactions in the binding pocket of alpha-glucosidase and ADMET properties; and compared to the standard drug, acarbose (−9.522). Interestingly, strong and weak interactions, such as hydrogen bonding, pi-pi stacking, and charged and hydrophobic interactions, were observed with Guaiacol in the binding pocket of alpha-glucosidase. Although acarbose had a better docking score, Guaiacol showed better ADMET (including physicochemical, drug-likeness, and pharmacokinetic) properties. Future studies could evaluate those potential anti-diabetes drug candidates against other targets and analyze them through in vivo experiments.
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