Amelogenin protein is involved in organized apatite crystallization during enamel formation. Brushite (CaHPO·2HO), one of the precursors of hydroxyapatite mineralization , has been used for fabrication of biomaterials for hard tissue repair. In order to explore its potential application in biomimetic material synthesis, we studied the influence of the enamel protein amelogenin on brushite morphology and phase transformation to monetite. Our results show that amelogenin can adsorb onto the surface of brushite, leading to the formation of layered morphology on the (010) face. Amelogenin promoted the phase transformation of brushite into monetite (CaHPO) in the dry state, presumably by interacting with crystalline water layers in brushite unit cells. Changes to the crystal morphology mediated by amelogenin continued even after the phase transformation from brushite to monetite, leading to the formation of organized platelets with an interlocked structure. This effect of amelogenin on brushite morphology and the phase transformation to monetite could provide a new approach to developing biomimetic materials.
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http://dx.doi.org/10.1021/acs.cgd.6b00569 | DOI Listing |
BMC Pharmacol Toxicol
January 2025
Biochemistry Department, Faculty of Science, Tanta University, Tanta, Egypt.
Background: Naringenin, a flavonoid compound found in citrus fruits, possesses valuable anticancer properties. However, its potential application in cancer treatment is limited by poor bioavailability and pharmacokinetics at tumor sites. To address this, Naringenin nanoparticles (NARNPs) were prepared using the emulsion diffusion technique and their anticancer effects were investigated in HepG2 cells.
View Article and Find Full Text PDFNat Commun
January 2025
Inorganic Chemistry and Catalysis, Debye Institute for Nanomaterials Science and Institute for Sustainable and Circular Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
Electrochemical reduction of carbon dioxide (CO) into sustainable fuels and base chemicals requires precise control over and understanding of activity, selectivity and stability descriptors of the electrocatalyst under operation. Identification of the active phase under working conditions, but also deactivation factors after prolonged operation, are of the utmost importance to further improve electrocatalysts for electrochemical CO conversion. Here, we present a multiscale in situ investigation of activation and deactivation pathways of oxide-derived copper electrocatalysts under CO reduction conditions.
View Article and Find Full Text PDFNanotechnology
January 2025
MME, Wright State University, 3640 Colonel Glenn Hwy, Lake Campus, 7600 Lake Drive, Lake Campus, Fairborn, Ohio, 45435, UNITED STATES.
Surface induced crystallization/amorphization of a Germanium-antimony-tellurium (GST) nanolayer is investigated using the phase field model. A Ginzburg-Landau (GL) equation introduces an external surface layer (ESL) within which the surface energy and elastic properties are properly distributed. Next, the coupled GL and elasticity equations for the crystallization/amorphization are solved.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, National Laboratory of Solid State Microstructures, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.
The rapid advancements in 3C electronic devices necessitate an increase in the charge cutoff voltage of LiCoO to unlock a higher energy density that surpasses the currently available levels. However, the structural devastation and electrochemical decay of LiCoO are significantly exacerbated, particularly at ≥4.5 V, due to the stress concentration caused by more severe lattice expansion and shrinkage, coupled with heterogeneous Li intercalation/deintercalation reactions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Background: The common APOE2/E3/E4 polymorphism, the strongest risk factor for Alzheimer's disease (AD), is determined by two-site haplotypes at codons 112 (Cys>Arg) and 158 (Arg>Cys), resulting into six genotypes. Due to strong linkage disequilibrium between the two sites, 3 of the 4 expected haplotypes (E2, E3, E4) have been observed and extensively studied in relation to AD risk. Compared to the most common haplotype of E3 (Cys112 - Arg158), E4 (Arg112 - Arg 158) and E2 (Cys112 - Cys158) haplotypes are determined by a single-point mutation at codons 112 and 158, respectively.
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