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Commercially available guided bone regeneration (GBR) membranes often exhibit limited mechanical properties or bioactivity, leading to poor performance in repairing bone defects. To surmount this limitation, we developed a Janus structural composite membrane (Mg-MgO/PCL) reinforced by dual Mg (Mg sheets and MgO NPs) by using a combined processing technique involving casting and electrospinning. Results showed that the addition of Mg sheets and MgO NPs enhanced the mechanical properties of the composite membrane for osteogenic space maintenance, specifically tensile strength (from 10.2 ± 1.2 to 50.3 ± 4.5 MPa) and compression force (from 0 to 0.94 ± 0.09 N mm), through Mg sheet reinforcement and improved crystallization. The dense cast side of the Janus structure membrane displayed better fibroblast barrier capacity than a single fiber structure; meanwhile, the PCL matrix protected the Mg sheet from severe corrosion due to predeformation. The porous microfibers side supported preosteoblast cell adhesion, enhanced osteogenesis, and angiogenesis in vitro, through the biomimetic extracellular matrix and sustainable Mg release. Furthermore, the Mg-MgO/PCL membrane incorporating 2 wt % MgO NPs exhibited remarkable antimicrobial properties, inducing over 88.75% apoptosis in . An in vivo experiment using the rat skull defect model (Φ = 5 mm) confirmed that the Mg-MgO/PCL membrane significantly improved new bone formation postsurgery. Collectively, our investigation provides valuable insights into the design of multifunctional membranes for clinical oral GBR application.
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http://dx.doi.org/10.1021/acsbiomaterials.3c01360 | DOI Listing |
Plant Physiol Biochem
September 2025
Institute of Crop Science, Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou, 310058, China. Electronic address:
Magnesium (Mg) is an essential macronutrient in plants, vital for photosynthesis, enzyme activation, protein synthesis, and carbon metabolism. This study evaluated the effects of magnesium oxide nanoparticles (MgO NPs) on growth, physiological performance, and rhizosphere microbial composition in soybean (Glycine max L.).
View Article and Find Full Text PDFInt J Nanomedicine
September 2025
Department of Oral and Maxillofacial Prosthodontics, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
Purpose: Nanoparticles and natural products have gained attention for their beneficial properties, but limited studies exist on the co-administration of these two therapeutic agents. In this study, both magnesium oxide nanoparticles (MgO NPs) and royal jelly (RJ) were evaluated for their protective potential against parotid gland damage in induced diabetic rats through the investigation of their antidiabetic, antioxidative, and anti-inflammatory effects.
Material And Methods: 64 male rats were divided into 8 groups: control group, MgO NPs treated group (300mg/kg/day), RJ treated group (100mg/kg/day), streptozotocin-induced diabetic group, diabetic group and concomitant MgO NPs, diabetic group and concomitant RJ, diabetic group and co-administration of both MgO NPs and RJ, and diabetic group and concomitant metformin (100mg/kg/day).
Adv Biomed Res
July 2025
Department of Chemistry, YadegareImam Khomeini (RAH) ShahreRey Branch, Islamic Azad University, Tehran, Iran.
Background: Bipolar disorder (BD), or bipolar disease, is a prevalent psychiatric condition. Current treatment options are often ineffective, with numerous side effects. Brain-derived neurotrophic factor (BDNF) may be a potential biomarker for BD.
View Article and Find Full Text PDFACS Omega
August 2025
Department of Pharmacognosy, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt.
is known for its wide variety of secondary metabolites, including essential oil, alkaloids, flavonoids, and phenolic acids, which are considered the reason for its diverse potential medical uses. Herein, extract was prepared using different formulas of metal oxide nanoparticles as ZnO NPs and MgO NPs with 22.5 ± 1.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Prosthetics and Orthotics, Ankara University, Ankara, Turkey.
Unlabelled: This study presents an integrated approach combining Density Functional based Tight Binding (DFTB) calculations with machine learning (ML) techniques to predict the density of states (DOS) in pristine and Zn-doped MgO nanoparticles (NPs). A range of over 60 ML models, including linear models, tree-based ensembles, and neural networks, were evaluated for predictive performance. Among these, the weighted k-nearest neighbor (wkNN) algorithm, particularly when using triweight and biweight kernels, consistently outperformed others, achieving a median RMSE of 0.
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