Data Sheet 1_Inhibition of carbohydrate digestive enzymes by a complementary essential oil blend: in silico and mixture design approaches.pdf

Background<p>The increasing demand for natural alternatives in diabetes treatment has driven research into plant-derived metabolites, particularly essential oils (EOs) with bioactive properties. This study aims to optimize an EO mixture for inhibiting two key enzymes involved in glucose digest...

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Main Author: El Hassania Loukili (17744294) (author)
Other Authors: Mouhcine Fadil (20852270) (author), Amal Elrherabi (20852273) (author), Mohammed Er-rajy (14502407) (author), Mohamed Taibi (17744285) (author), Khalil Azzaoui (20852276) (author), Rachid Salghi (1900933) (author), Rachid Sabbahi (20852279) (author), Mohammed M. Alanazi (8598345) (author), Larbi Rhazi (2119384) (author), Aleksandar Széchenyi (20852282) (author), Mohamed Siaj (1623370) (author), Belkheir Hammouti (567447) (author)
Published: 2025
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Summary:Background<p>The increasing demand for natural alternatives in diabetes treatment has driven research into plant-derived metabolites, particularly essential oils (EOs) with bioactive properties. This study aims to optimize an EO mixture for inhibiting two key enzymes involved in glucose digestion: pancreatic α-amylase and intestinal α-glucosidase.</p>Methods<p>Essential oils were extracted from three Moroccan medicinal plants: false yellowhead (Inula viscosa L.), rose geranium (Pelargonium graveolens L'Hér.), and lemongrass (Cymbopogon citratus (DC.) Stapf.). Gas chromatography-mass spectrometry (GC-MS) analysis identified key metabolites in each EO. A statistical mixture design was employed to evaluate different EO ratios for their inhibitory effects on α-amylase and α-glucosidase. Additionally, density functional theory (DFT) calculations and molecular docking simulations were conducted to assess the key metabolites' electronic properties and interaction potential with target enzymes.</p>Results<p>GC-MS analysis identified 32 metabolites in P. graveolens, with citronellol (18.67%), eucalyptol (13.30%), and 2-octen-1-ol (8.12%) as major components. I. viscosa contained 18 metabolites, dominated by 2-camphanol acetate (51.12%) and camphol (19.32%), while C. citratus had 23 metabolites, with α-citral (24.70%) and 2-isopropenyl-5-methylhex-4-enal (29.25%) as key constituents. The optimal formulation for α-glucosidase inhibition was a binary mixture of 73% C. citratus and 27% P. graveolens. In contrast, the best blend for α-amylase inhibition consisted of 56% P. graveolens and 44% I. viscosa. DFT calculations confirmed the electrophilic nature of key metabolites, supporting their potential for enzyme interaction. Molecular docking simulations suggested that these phytochemicals could exhibit stronger inhibitory effects than acarbose, a widely used antidiabetic drug.</p>Conclusion<p>These findings highlight the potential of optimized EO formulations as natural alternatives for managing hyperglycemia and developing novel diabetes therapies.</p>