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Evidence-Based Supplement Research
Evidence-Based Supplement Research

Study Design

Methods
Chemical profiling using UPLC-Q-Exactive Orbitrap MS and GNPS molecular networking; enzyme inhibition assays; kinetic studies; molecular docking and dynamics simulations
The chemical profile of brown algae Ecklonia cava was comprehensively analyzed using ultra-high-performance liquid chromatography coupled with a Q-Exactive Orbitrap mass spectrometer and GNPS molecular networking, identifying 33 components, including 27 oligomeric phloroglucinols. Among these, 10 compounds with analogous structural segments were evaluated for β-glucuronidase inhibitory activity, revealing potent inhibition by eckol, phlorofucofuroeckol A (PFF-A), dieckol, 2-phloroeckol, dioxinodehydroeckol (DHE), 8,8'-bieckol, and 6,8'-bieckol, with IC50 values ranging from 0.3 to 30.3 μM. Enzyme kinetic studies showed that eckol, PFF-A, dieckol, and 2-phloroeckol act as noncompetitive inhibitors, while DHE functions as a competitive inhibitor, and 8,8'-bieckol and 6,8'-bieckol exhibit mixed-type inhibition. Computational approaches, including molecular docking and dynamics simulations, confirmed the stability of these interactions and identified structural features contributing to inhibitory potency. These findings underscore the therapeutic potential of E. cava secondary metabolites as β-glucuronidase inhibitors, paving the way for further computational and experimental investigations.

Research Insights

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