Ojo_2026_Sci.Rep__

Reference

Title : Deciphering the mechanisms underlying the dual-target inhibition of carbohydrate-digesting and neurodegenerative enzymes by Syzygium aromaticum (L.) Merr. & L.M. via molecular docking and dynamics simulations - Ojo_2026_Sci.Rep__
Author(s) : Ojo OA , Gyebi GA , Iyobhebhe M , Dada S , Daramola T , Ojo AB , Oyebamiji AK , Oyinloye BE , Ajiboye BO
Ref : Sci Rep , : , 2026
Abstract :

Syzygium aromaticum (L.) Merr. & L.M. Perry is a known spice with a high phytochemical content that can be explored in drug discovery. We investigated the in vitro enzyme inhibitory activities of a flavonoid-rich extract of S. aromaticum (FRESA) against type II diabetes (T2D) and Alzheimer's disease (AD) and identified its anti-T2D and anti-AD phytochemicals via computational prediction. The in vitro enzyme inhibitory activities of a flavonoid-rich extract of Syzygium aromaticum were evaluated via standard protocols following flavonoid-enriched extraction procedures. High-performance liquid chromatography (HPLC) was employed to characterize the constituent bioactive flavonoids. Molecular docking of eight phytochemicals was performed via AutoDock Vina in PyRx 0.8, which identified apigenin, myricetin, and quercetin as hit compounds with high binding affinities and multitarget activities against alpha-amylase, alpha-glucosidase, acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and monoamine oxidase (MAO). Molecular dynamics simulations (100 ns) were conducted via GROMACS 2019.2, and binding free energy calculations were performed via the MM-GBSA approach to validate the stability and interaction integrity of the hit phytochemicals. FRESA (IC(50) = 961.943 +/- 21.031 microg/mL) exhibited moderate activity against alpha-amylase compared with that of acarbose (IC(50) = 27.104 +/- 0.270 microg/mL). Compared with acarbose (IC(50) = 17.389 +/- 0.436 microg/mL), FRESA had appreciable activity against alpha-glucosidase (IC(50) = 562.045 +/- 6.714 microg/mL). FRESA demonstrated significant (p < 0.0001) inhibition of acetylcholinesterase (IC(50) = 26.911 +/- 0.058 microg/mL), surpassed galantamine (IC(50) = 27.950 +/- 0.122 microg/mL), and moderately inhibited butyrylcholinesterase (IC(50) = 28.168 +/- 0.702 microg/mL) to galantamine (IC(50) = 23.126 +/- 0.683 microg/mL). FRESA also significantly suppressed monoamine oxidase activity in Fe(2)-induced brain damage in a concentration-dependent manner. HPLC-DAD analysis identified apigenin, caffeic acid, ferulic acid, gallic acid, kaempferol, myricetin, quercetin, and syringic acid as major constituents. Molecular docking revealed apigenin, myricetin, and quercetin as top-ranked multitarget inhibitors, exhibiting strong binding affinities (- 9.0 to - 10.2 kcal/mol) comparable to those of reference inhibitors across alpha-amylase, alpha-glucosidase, AChE, BChE, and MAO. Molecular dynamics simulations and MM-GBSA confirmed the binding strength of the hit phytoconstituents in the active pockets of alpha-amylase, alpha-glucosidase, AChE, BChE, and MAO, with multitargeting inhibitory activities supporting the in vitro and ex vivo enzyme activities. ADMET profiling indicated favorable drug likeness for apigenin, whereas myricetin and quercetin displayed acceptable pharmacokinetic properties with minimal violations. Our findings provide scientific validation of the anti-T2D and anti-AD properties of S. aromaticum and identify apigenin, myricetin, and quercetin, which could be used for the development of inhibitors of alpha-amylase, alpha-glucosidase, AChE, BChE, and MAO as dual therapies to combat T2D and AD. Additional in vivo validation is recommended to ensure a thorough assessment in the present research.

PubMedSearch : Ojo_2026_Sci.Rep__
PubMedID: 41872468

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Citations formats

Ojo OA, Gyebi GA, Iyobhebhe M, Dada S, Daramola T, Ojo AB, Oyebamiji AK, Oyinloye BE, Ajiboye BO (2026)
Deciphering the mechanisms underlying the dual-target inhibition of carbohydrate-digesting and neurodegenerative enzymes by Syzygium aromaticum (L.) Merr. & L.M. via molecular docking and dynamics simulations
Sci Rep :

Ojo OA, Gyebi GA, Iyobhebhe M, Dada S, Daramola T, Ojo AB, Oyebamiji AK, Oyinloye BE, Ajiboye BO (2026)
Sci Rep :