In the investigation of active ingredients from natural products, current technologies relying on drug-target affinity recognition analysis face significant challenges. This is primarily due to their limited specificity and inability to provide downstream pharmacodynamic information, such as agonistic or antagonistic activity. In this study, a two-point method was developed by immobilizing M3 acetylcholine receptor (M3R) through the combination of the conformation-specific peptide BJ-PRO-13a and the HaloTag trap system. We systematically assessed the specificity of the immobilized M3R using known M3R antagonists (pirenzepine and atropine) and agonists (cevimeline and pilocarpine). By frontal analysis and nonlinear chromatography, the performance of immobilized M3R was evaluated in terms of binding kinetics and thermodynamics of four drugs to the immobilized M3R. Additionally, we successfully identified two M3R antagonists within an extract from Daturae Flos (DF), specifically hyoscyamine and scopolamine. Our findings demonstrate that this immobilization method effectively captures receptor-ligand binding interactions and can discern receptor agonists from antagonists. This innovation enhances the efficiency of receptor chromatography to determine binding-affinity in the development of new drugs, offering promise for the screening and characterization of active compounds, particularly within complex natural products.
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http://dx.doi.org/10.1186/s13065-024-01198-z | DOI Listing |
Microbiome
January 2025
Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Background: Maintaining gut health is a persistent and unresolved challenge in the poultry industry. Given the critical role of gut health in chicken performance and welfare, there is a pressing need to identify effective gut health intervention (GHI) strategies to ensure optimal outcomes in poultry farming. In this study, across three broiler production cycles, we compared the metagenomes and performance of broilers provided with ionophores (as the control group) against birds subjected to five different GHI combinations involving vaccination, probiotics, prebiotics, essential oils, and reduction of ionophore use.
View Article and Find Full Text PDFOncogenesis
January 2025
Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Diffuse large B-cell lymphoma (DLBCL) is characterized by its aggressive nature and resistance to standard chemotherapy, necessitating the development of new therapeutic approaches. The emergence of natural products and their derivatives has notably influenced cancer treatment, making morusinol, a medicine-derived monomer, a promising candidate. Here, we showed that morusinol exerted antitumor effects on DLBCL in vitro by inducing apoptosis and cell cycle arrest.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Cannabidiol (CBD), a specialized metabolite (phytocannabinoid) abundant in Cannabis sativa, is attracting increasing attention for its alleged health-promoting properties. The present study aimed to investigate the pharmacokinetics of CBD and its primary metabolite, 7-hydroxy-cannabidiol (7-OH-CBD), following a single oral dose of a CBD-rich Cannabis sativa extract, equivalent to 70 mg CBD, in healthy male (n=5) and female (n=6) participants. Using a randomized crossover design, the study evaluated the impact of a standardized high-fat meal compared to fasting on the oral bioavailability of CBD.
View Article and Find Full Text PDFSci Rep
January 2025
Nanotechnology Department, Faculty of Science, Urmia University, Urmia, Iran.
Today, active packaging has become essential to increase food safety and decrease food spoilage. In this study, the aim was to delay spoilage and increase the shelf life of rainbow fish fillets with a new hybrid nanocomposite active packaging. Packaging was fabricated with Ethylene vinyl acetate and active compounds such as rosemary extract, zinc oxide nanoparticles, and modified iron (Fe-MMT).
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January 2025
Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kita-gun, Takamatsu, 761-0793, Kagawa, Japan.
This study aims to evaluate the potential enhancement in implant classification performance achieved by incorporating artificially generated images of commercially available products into a deep learning process of dental implant classification using panoramic X-ray images. To supplement an existing dataset of 7,946 in vivo dental implant images, a three-dimensional scanner was employed to create implant surface models. Subsequently, implant surface models were used to generate two-dimensional X-ray images, which were compiled along with original images to create a comprehensive dataset.
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