Antimicrobial approaches are valuable in controlling the development of buccal diseases, but some antibacterial agents have a short duration of activity. Therefore, the development of prolonged delivery systems would be advantageous. Liquid crystalline systems comprising monoolein (GMO)/water have been considered to be a potential vehicle to deliver drugs to the buccal mucosa because of the phase properties that allow for controlled drug release as well as its mucoadhesive properties. Therefore, the aim of this study was to develop a GMO/water system for the slow release of poly(hexamethylene biguanide) hydrochloride (PHMB) on the buccal mucosa and test the properties of this system with regard to swelling, release profile, antimicrobial activity, and strength of mucoadhesion, with the overall goal of treating buccal infections. The tested systems were capable of modulating drug release, which is controlled by diffusion of the drug throughout the system. Furthermore, PHMB appeared to improve the mucoadhesive properties of the system and may synergistically act with the drug to promote antimicrobial activity against S. mutas and C. albicans, indicating that liquid crystals may be suitable for the administration of PHMB on the buccal mucosa. Therefore, this system could be proposed as a novel system for mucoadhesive drug delivery.
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http://dx.doi.org/10.1002/jps.24198 | DOI Listing |
Purpose: The purpose of this study was to evaluate the occurrence of peri-implant diseases and their potential risk indicators in a private practice setting.
Materials And Methods: This cross-sectional study evaluated data from 390 subjects (mean age 55.8 ± 11.
Ned Tijdschr Geneeskd
January 2025
Radboudumc, afd. Mond-Kaak-Aangezichtschirurgie, Nijmegen.
Mucosal diseases of the tongue, such as lingua geographica and lingua villosa, are relatively common and are usually harmless, such as lingua geographica and lingua villosa, but can also be more serious, such as oral cavity carcinoma of the tongue. In this article we discuss the diagnosis and treatment of the most common mucosal diseases of the tongue. The influence of underlying systemic conditions, certain medications and preventive advice are also discussed.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
Department of Plastic and Reconstructive Surgery, Tokyo Women's Medical University, Tokyo, Japan.
The free fibula flap is a common technique for mandibular bone defects. However, its limited skin paddle is disadvantageous in cases with significant soft-tissue defects. A free fibula dual-skin paddle flap is used for medium-sized soft-tissue defects.
View Article and Find Full Text PDFActa Odontol Scand
January 2025
Associate Laboratory i4HB-Institute for Health and Bioeconomy, University Institute of Health Sciences-CESPU, Gandra 4585-116, Portugal; UCIBIO-Applied Molecular Biosciences Unit, Translational Toxicology Research Laboratory, University Institute of Health Sciences (1H-TOXRUN, IUCS-CESPU), Gandra, Portugal.
Background: The dependence on the illicit drugs has been proven to be harmful to the oral cavity and may lead to a series of abnormal manifestations. The main objective of this study was to observe the effects caused by the consumption of illicit drugs in the oral cavity, in a prison population in the North of Portugal.
Methods: A cross-sectional observational study was conducted involving 91 male inmates aged 25-75 years (mean age 41.
Sci Rep
January 2025
Melbourne Dental School, University of Melbourne, Level 5, 720 Swanston Street, Carlton, Melbourne, VIC, 3053, Australia.
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities were imaged in vivo with a confocal laser endomicroscope using the contrast agents acriflavine and fluorescein for the detection of oral epithelial dysplasia and oral cancer. To analyse the 9168 images frames obtained, three tandem applied pre-trained Inception-V3 convolutional neural network (CNN) models were developed using transfer learning in the PyTorch framework.
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