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Natural products are gaining attention as α-glucosidase (α-GLU) inhibitors owing to their safety and multifunctionality. L-theanine (THE) and epigallocatechin gallate (EGCG) in tea have inhibitory effects, but whether their synergistic inhibition of α-GLU remains unclear. This study investigated the synergistic mechanism of THE and EGCG in inhibiting α-GLU activity using spectral analysis and computational simulation. The results showed that a combination of 1.6 mM THE and 0.11 mM EGCG significantly enhanced α-GLU inhibition. Fluorescence quenching experiments revealed that EGCG did not alter the static quenching pattern of THE on α-GLU. However, it promoted enzyme conformational changes. Multi-spectral analysis and molecular dynamics simulations further demonstrated that THE and EGCG interacted non-covalently with key α-GLU residues (ASP-242, PHE-303, and PRO-312, etc.), disrupting the active site structure, reducing its catalytic efficiency. These findings provide valuable insight into the synergistic inhibition of α-GLU by natural active ingredients, with potential applications in functional foods.
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http://dx.doi.org/10.1016/j.foodchem.2025.144858 | DOI Listing |
Brief Bioinform
August 2025
School of Computer Science, Xi'an Polytechnic University, 710048, Xi'an, China.
Cancer, with its inherent heterogeneity, is commonly categorized into distinct subtypes based on unique traits, cellular origins, and molecular markers specific to each type. However, current studies primarily rely on complete multi-omics datasets for predicting cancer subtypes, often overlooking predictive performance in cases where some omics data may be missing and neglecting implicit relationships across multiple layers of omics data integration. This paper introduces Multi-Layer Matrix Factorization (MLMF), a novel approach for cancer subtyping that employs multi-omics data clustering.
View Article and Find Full Text PDFNMR Biomed
October 2025
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.
View Article and Find Full Text PDFAnal Chem
September 2025
Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada.
Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful analytical technique with a wide range of applications. To support the analysis of diverse and complex samples, various NMR tools and accessories have been created. Three-dimensional (3D) printing is an underutilized production method for NMR hardware, mainly due to the lack of H NMR background-free resins.
View Article and Find Full Text PDFMagn Reson Chem
September 2025
Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan.
We reveal contrasting behaviors in molecular motion between the two materials, including the identification of resonance-enhanced dynamic features in elastomers. We present a depth-resolved analysis of molecular dynamics in semicrystalline polytetrafluoroethylene (PTFE) and fully amorphous fluorinated elastomer (SIFEL) films using static-gradient solid-state F NMR imaging. By measuring spin-lattice relaxation rates ( ) at multiple frequencies and evaluating the corresponding spectral density functions, we reveal distinct dynamic behaviors between the two materials.
View Article and Find Full Text PDFAnal Chem
September 2025
Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Infrared (IR) spectroscopic imaging combines the molecular specificity of vibrational spectroscopy with imaging capabilities of microscopy, potentially allowing for simultaneous quantitative observations of drugs and cellular response. However, accurately quantifying drug concentration within changing cells is complicated by the overlap between exogenous molecules' and native cellular spectra. Here, we address this challenge by developing a derivative of the widely used chemotherapeutic doxorubicin as a spectral bioprobe (DOX-IR) using a strongly absorbing metal-carbonyl moiety [(Cp)Fe(CO)].
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