The persistent colonization of paranasal sinus mucosa by microbial biofilms is a major factor in the pathogenesis of chronic rhinosinusitis (CRS). Control of microorganisms within biofilms is hampered by the presence of viscous extracellular polymers of host or microbial origin, including nucleic acids. The aim of this study was to investigate the role of extracellular DNA in biofilm formation by bacteria associated with CRS. Obstructive mucin was collected from patients during functional endoscopic sinus surgery. Examination of the mucous by transmission electron microscopy revealed an acellular matrix punctuated occasionally with host cells in varying states of degradation. Bacteria were observed in biofilms on mucosal biopsies, and between two and six different species were isolated from each of 20 different patient samples. In total, 16 different bacterial genera were isolated, of which the most commonly identified organisms were coagulase-negative staphylococci, Staphylococcus aureus and α-haemolytic streptococci. Twenty-four fresh clinical isolates were selected for investigation of biofilm formation in vitro using a microplate model system. Biofilms formed by 14 strains, including all 9 extracellular nuclease-producing bacteria, were significantly disrupted by treatment with a novel bacterial deoxyribonuclease, NucB, isolated from a marine strain of Bacillus licheniformis. Extracellular biofilm matrix was observed in untreated samples but not in those treated with NucB and extracellular DNA was purified from in vitro biofilms. Our data demonstrate that bacteria associated with CRS form robust biofilms which can be reduced by treatment with matrix-degrading enzymes such as NucB. The dispersal of bacterial biofilms with NucB may offer an additional therapeutic target for CRS sufferers.

Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study. One of the major obstacles to the health care system’s transformation is obtaining knowledge and insightful data from complex, high-dimensional, and diverse sources. Modern biomedical research, for instance, has seen an increase in the use of complex, heterogeneous, poorly documented, and generally unstructured electronic health records, imaging, sensor data, and text. There were still certain restrictions even after many current techniques were used to extract more robust and useful elements from the data for analysis. New effective paradigms for building end-to-end learning models from complex data are provided by the most recent deep learning technology breakthroughs. Therefore, the current study aims to examine the most recent research on the use of deep learning techniques for dental informatics problems and recommend creating comprehensive and meaningful interpretable structures that might benefit the healthcare industry. We also draw attention to some drawbacks and the need for better technique development and provide new perspectives about this exciting new development in the field.

Background: The present study aims to determine the impact of malocclusion on oral health related quality of life (OHRQoL) among 13–16 years old Malay school children.Methods: School children aged between 13 and 16 years old were randomly selected from a secondary school in Penang. Malay version of Oral Health Impact Profile-14 (OHIP-14) questionnaires were given to the subjects. This questionnaire has 14 questions with seven domains which are functional limitation, psychological discomfort, physical pain, physical disability, psychological and social disability, and handicap. Index of orthodontic treatment need dental health component was used to assess the orthodontic treatment need. Overjet (reversed overjet), open bite, overbite, cross bite, impeded eruption, crowding, defects of cleft lip and palate, Class II and Class III buccal occlusion, present of supernumerary and hypodontia were assessed.Results: 255 students participated in this study. Mean score and standard deviation for OHIP-14 were 8.64 (± 7.32) for males and 11.05 (± 9.41) for females respectively. There was statistically significant difference in mean score of OHIP-14 between male and female (p = 0.023). A weak positive correlation was found between malocclusion severity and OHRQoL (r = 0.186;p < 0.01). Malocclusion had a negative impact on OHRQoL of the students in the present study. This impact was prominent in psychological discomfort and psychological disability domains of OHIP-14 (p < 0.05).Conclusion: Increase in severity of malocclusion was associated with a negative impact on OHRQoL. Females exhibited more negative impact of malocclusion on their OHRQoL. Psychological domain was the most affected one.

Propolis is a resinous substance found in beehives. It provides beneficial effects on human health and has been used to treat many diseases since ancient times. The objectives of this study were to analyze the phytochemical profile of propolis derived from local T. apicalis species and its antioxidant activities. The ethanolic extract of propolis was subjected to HPLC analysis to analyze its phytochemical profile. The propolis extract was later tested for antioxidant capacities by using DPPH radical scavenging assay. TPC and TFC were performed to determine the correlation with its antioxidant activities. TEAC for each serial dilution sample was 2621.15 (4.76 mg/mL), 2050.85 (2.38 mg/mL), 1883.27 (1.19 mg/mL), 1562.67 (0.59 mg/mL), 1327.82 (0.29 mg/mL), 1164.49 (0.15 mg/mL), 983.27 (0.07 mg/mL), and 944.79 (0.04 mg/mL). The results demonstrated that the antioxidant activities of propolis extract were dose dependent. The IC₅₀ of propolis for DPPH assay was 4.27 mg/ml. Correlation values of TPC and TFC against DPPH indicate that the antioxidant activities of propolis extract used in this study could be mainly influenced by the phenolic and flavonoid contents. These findings highlighted the importance of quality analysis in order to ensure the consistency of biological effects or therapy of a natural product, such as propolis.