Liver X receptors (LXRs) are nuclear receptors that are central regulators of cholesterol homeostasis, and synthetic LXR agonists have shown promise as promoters of reverse cholesterol transport and anti-inflammatory agents. Here, we present three X-ray structures of three different agonists bound to the ligand binding domain of LXRalpha. These compounds are GW3965, F(3)methylAA, and a benzisoxazole urea, and we show that these diverse chemical scaffolds address common structural themes, leading to high binding affinity for LXR. Our structures show the LXRalpha ligand binding domain in its homodimeric form, an arrangement previously thought to be stereochemically difficult. A comparison with existing structures of the LXRbeta homodimer and LXRalpha:RXR (retinoid X receptor) heterodimers explains differences in dimer affinity and leads us to propose a model for allosteric activation in nuclear receptor dimers, in which an unactivated RXR partner provides an inhibitory tail wrap to the cofactor binding pocket of LXR.
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http://dx.doi.org/10.1016/j.jmb.2010.04.005 | DOI Listing |
Sensors (Basel)
December 2024
Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).
View Article and Find Full Text PDFPharmaceutics
December 2024
Department of Hospital Surgery, Department of Plastic and Reconstructive Surgery, Cosmetology and Cell Technology, Pirogov Russian National Research Medical University (RNRMU), 117997 Moscow, Russia.
Background/objectives: The aim was to study the possibilities of biomedical application of gadolinium oxide nanoparticles (GdO NPs) synthesized under industrial conditions, and evaluate their physicochemical properties, redox activity, biological activity, and safety using different human cell lines.
Methods: The powder of GdO NPs was obtained by a process of thermal decomposition of gadolinium carbonate precipitated from nitrate solution, and was studied using transmission electron microscopy (TEM), X-ray diffraction (XRD), Raman spectroscopy, mass spectrometry, and scanning electron microscopy (SEM) with energy dispersive X-ray analyzer (EDX). The redox activity of different concentrations of GdO NPs was studied by the optical spectroscopy (OS) method in the photochemical degradation process of methylene blue dye upon irradiation with an optical source.
Pharmaceutics
December 2024
College of Pharmacy, Dongguk University-Seoul, Dongguk-ro-32, Ilsan-Donggu, Goyang 10326, Republic of Korea.
Background/objectives: A sustained-release formulation of fenofibrate while enhancing drug dissolution with minimal food effect is critical for maximizing the therapeutic benefits of fenofibrate. Therefore, this study aimed to develop an effective solid dispersion formulation of fenofibrate for simultaneous enhancement in the extent and duration of drug exposure.
Methods: Fenofibrate-loaded solid dispersions (FNSDs) were prepared using poloxamer 407 and Eudragit RSPO at varied ratios via solvent evaporation.
Pharmaceutics
December 2024
i3N and Department of Physics, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
Background/objectives: The unique properties of iron oxide nanoparticles have attracted significant interest within the biomedical community, particularly for magnetic hyperthermia applications. Various synthesis methods have been developed to optimize these nanoparticles.
Methods: In this study, we employed a powdered coconut water (PCW)-assisted sol-gel method to produce magnetite nanoparticles for the first time.
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