The effect of various in vitro conditions on the permeability characteristics of the buccal mucosa was assessed using caffeine (CAF) and estradiol (E(2)) as model hydrophilic and lipophilic markers, respectively. The permeation of CAF and E(2) through porcine buccal mucosa was determined in modified Ussing chambers at 37 degrees C over 4 h. Comparative permeation studies were performed through full thickness and epithelial tissues, fresh and frozen tissues, and intact and intentionally damaged tissues. Tissue integrity was monitored by the absorption of the normally impermeable fluorescein isothiocyanate (FITC)-labeled dextran 20 kDa (FD20) and tissue viability was assessed using an MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide) biochemical assay and histological evaluation. Compared to full thickness buccal tissue, permeability through the buccal epithelium was 1.8-fold greater for CAF and 16.7-fold greater for E(2). Although the fluxes of the model compounds were no different in fresh and frozen buccal epithelium, histological evaluation demonstrated signs of cellular death in frozen tissue. FD20 permeated damaged tissue, and while this was associated with an increase in CAF transport, no significant change in E(2) transport was observed. The tissue appeared to remain viable for up to 12 h postmortem using the MTT viability assay, and this was supported by histological evaluation.
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http://dx.doi.org/10.1002/jps.10505 | 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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