Unlabelled: Nanotechnology represents a major frontier with potential to significantly advance the field of bone tissue engineering. Current limitations in regenerative strategies include impaired cellular proliferation and differentiation, insufficient mechanical strength of scaffolds, and inadequate production of extrinsic factors necessary for efficient osteogenesis. Here we review several major areas of research in nanotechnology with potential implications in bone regeneration: 1) nanoparticle-based methods for delivery of bioactive molecules, growth factors, and genetic material, 2) nanoparticle-mediated cell labeling and targeting, and 3) nano-based scaffold construction and modification to enhance physicochemical interactions, biocompatibility, mechanical stability, and cellular attachment/survival. As these technologies continue to evolve, ultimate translation to the clinical environment may allow for improved therapeutic outcomes in patients with large bone deficits and osteodegenerative diseases.
From The Clinical Editor: Traditionally, the reconstruction of bony defects has relied on the use of bone grafts. With advances in nanotechnology, there has been significant development of synthetic biomaterials. In this article, the authors provided a comprehensive review on current research in nanoparticle-based therapies for bone tissue engineering, which should be useful reading for clinicians as well as researchers in this field.
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http://dx.doi.org/10.1016/j.nano.2015.02.013 | DOI Listing |
An Acad Bras Cienc
January 2025
Chinese Academy of Sciences, Institute of Vertebrate Paleontology and Paleoanthropology, Key Laboratory of Vertebrate Evolution and Human Origins, Beijing, 100044, China.
Pterosaur remains are rare from the lowermost Cretaceous, hampering our understanding of the taxonomic and morphological diversities of pterosaurs during this period. The Lower Cretaceous Tugulu Group in Wuerho, China is renowned for hosting the Wuerho Pterosaurian Fauna (WPF), which has so far yielded numerous fossil remains of two dsungaripterid pterosaurs, Dsungaripterus weii and Noripterus complicidens. Here we report a partial ornithocheiromorph humerus from the WPF, representing a deeply divergent clade from Dsungaripteridae.
View Article and Find Full Text PDFSci Adv
January 2025
Schmid College of Science and Technology, Chapman University, Orange, CA 92866, USA.
Through selective breeding, humans have driven exceptional morphological diversity in domestic dogs, creating more than 200 recognized breeds developed for specialized functional tasks such as herding, protection, and hunting. Here, we use three-dimensional reconstructions of dog skulls to ask whether these function-oriented kennel-club groups reflect differences in morphology that correspond to those functions. We analyzed 117 canid skulls, representing 40 domestic dog breeds and 18 wild subspecies, using geometric morphometric techniques and -means clustering.
View Article and Find Full Text PDFOdontology
January 2025
School of Stomatology, Shandong Second Medical University, Weifang, 261053, Shandong, China.
The reduction in alveolar ridge height and width after tooth extraction poses a substantial challenge for dental implant restoration. This study aimed to observe the roles of S100A8 in the inflammatory response and bone resorption following tooth extraction. Rat mandibular second molars were extracted.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Purpose: The positron range effect can impair PET image quality of Gallium-68 (Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for Ga was investigated on patient data.
View Article and Find Full Text PDFPhysiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
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