Human serum potentiates the expression of genes associated with antifungal drug resistance in C. albicans biofilms on central venous catheters

Candida albicans is a major agent of fungaemias and frequently causes systemic disease through seeded, blood stream dissemination. These infections, particularly common in hospitalized patients with central venous catheters (CVCs), appear to persevere due to biofilm reservoirs of the yeast that tend to develop on the device. Although it is known that candidal biofilms are intrinsically resistant to antifungals compared with their planktonic counterparts, there is a paucity of data on the expression of antifungal drug resistance genes (DRGs) in candidal biofilms in CVC reservoirs. Furthermore, notwithstanding the fact that CVCs are constantly bathed in human serum, there are no studies on the effect of the latter on the DRG expression in candidal biofilms. Hence, we developed in vitro biofilms of three different C. albicans strains on silicone CVC discs immersed in human serum and evaluated the temporal expression of nine antifungal DRGs. In an attempt to evaluate the effect of hyphal elements on DRG expression, we incorporated a hyphal mutant (HM) and its wild-type (WT) counterpart, as well as a fresh clinical isolate in the studies. Human serum significantly up-regulated DRG transcripts in Candida biofilms on CVCs, at different stages of biofilm growth, while the WT strain over-expressed more DRGs than the HM strain. Here, we report, for the first time, that both human serum and the hyphal elements of the yeast have a profound modulatory effect on DRG expression in C. albicans biofilms on CVCs

Xerostomia in geriatric patients: a burgeoning global concern

Saliva plays a key role in maintaining oral homeostasis, function, and health. The prevalence of xerostomia and its consequences are rising due to the increasing aging population, the effects of some systemic diseases, medical management, and commonly-prescribed medications that reduce saliva production. When salivary function is diminished, patients are at a greater risk of developing caries, discomfort in wearing dentures, and opportunistic diseases, such as candidiasis. The psychosocial aspects of xerostomia can range from a mild effect on self-rated oral health to frustration, embarrassment, unhappiness, or substantial disruptions in quality of life. This article reviews the clinical features, diagnosis, and prevalence of dry mouth, as well as its treatment strategies

Hepatocyte Growth Factor Levels in the Saliva and Gingival Crevicular Fluid in Smokers with Periodontitis

Hepatocyte growth factor (HGF) production by oral fibroblasts is enhanced by various molecules that are induced during inflammatory conditions including periodontitis. HGF plays an important role in the progression of periodontitis, by stimulating intense growth of epithelial cells and preventing regeneration of connective tissue attachments. Smokers have a greater risk factor in the pathogenesis and progression of periodontal disease. The objective of the study was to estimate the level of HGF in saliva and gingival crevicular fluid (GCF) in smokers with periodontitis and to compare these levels with that of nonsmokers with periodontitis and healthy controls. The HGF levels were found to be significantly high in the saliva and GCF of smokers with periodontitis compared to both never-smokers with periodontitis and the healthy control group. The elevated levels of HGF in the saliva and GCF in the study population could explain the intrinsic mechanism triggering the severity of the periodontitis in smokers. Further studies are necessary to validate the current observations and to establish a sensitive marker to predict periodontal disease activity

Hepatocyte Growth Factor Levels in the Saliva and Gingival Crevicular Fluid in Smokers with Periodontitis

Hepatocyte growth factor (HGF) production by oral fibroblasts is enhanced by various molecules that are induced during inflammatory conditions including periodontitis. HGF plays an important role in the progression of periodontitis, by stimulating intense growth of epithelial cells and preventing regeneration of connective tissue attachments. Smokers have a greater risk factor in the pathogenesis and progression of periodontal disease. The objective of the study was to estimate the level of HGF in saliva and gingival crevicular fluid (GCF) in smokers with periodontitis and to compare these levels with that of nonsmokers with periodontitis and healthy controls. The HGF levels were found to be significantly high in the saliva and GCF of smokers with periodontitis compared to both never-smokers with periodontitis and the healthy control group. The elevated levels of HGF in the saliva and GCF in the study population could explain the intrinsic mechanism triggering the severity of the periodontitis in smokers. Further studies are necessary to validate the current observations and to establish a sensitive marker to predict periodontal disease activity

Improving the reconstruction of dental occlusion using a reconstructed-based identical matrix point technique

Digital dental models are widely used compared to dental impressions or plaster-dental models for occlusal analysis as well as fabrication of prosthodontic and orthodontic appliances. The digital dental model has been considered as one of the significant measures for the analysis of dental occlusion. However, the process requires more computation time with less accuracy during the re-establishment of dental occlusion. In this research, a modern method to re-establish dental occlusion has been designed using a Reconstructed-based Identical Matrix Point (RIMP) technique. The curvature of the dental regions has been reconstructed using distance mapping in order to minimize the computation time, and an iterative point matching approach is used for accurate re-establishment. Satisfactory restoration and occlusion tests have been analyzed using a dental experimental setup with high-quality digital camera images. Further, the high-quality camera images are converted to grayscale images for mathematical computation using MATLAB image processing toolbox. Besides, 70 images have been taken into consideration in which 30 planar view images has been utilized for experimental analysis. Indeed, based on the outcomes, the proposed RIMP outperforms overall accuracy of (91.50%) and efficiency of (87.50%) in comparison with conventional methods such as GLCM, PCR, Fuzzy C Means, OPOS, and OGS.Other Information Published in: Journal of Ambient Intelligence and Humanized Computing License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s12652-021-03404-5</p