Periodontitis is an inflammatory disease involving complex interactions between oral microorganisms and the host immune response. Understanding the structure of the microbiota community associated with periodontitis is essential for improving classifications and diagnoses of various types of periodontal diseases and will facilitate clinical decision-making. In this study, we used a 16S rRNA metagenomics approach to investigate and compare the compositions of the microbiota communities from 76 subgingival plagues samples, including 26 from healthy individuals and 50 from patients with periodontitis. Furthermore, we propose a novel feature selection algorithm for selecting features with more information from many variables with a combination of these features and machine learning methods were used to construct prediction models for predicting the health status of patients with periodontal disease. We identified a total of 12 phyla, 124 genera, and 355 species and observed differences between health- and periodontitis-associated bacterial communities at all phylogenetic levels. We discovered that the genera Porphyromonas, Treponema, Tannerella, Filifactor, and Aggregatibacter were more abundant in patients with periodontal disease, whereas Streptococcus, Haemophilus, Capnocytophaga, Gemella, Campylobacter, and Granulicatella were found at higher levels in healthy controls. Using our feature selection algorithm, random forests performed better in terms of predictive power than other methods and consumed the least amount of computational time.

Monascus species-fermented red mold rice (RMR) has been regarded as a popular hypolipidemic functional food because it contains monacolin K, an inhibitor of de novo cholesterol synthesis. However, the safety of RMR is always an issue because citrinin is present in RMR and is reported to be hepatotoxic and nephrotoxic. The present study was therefore to develop a postprocess to remove citrinin yet retain monacoln K in the RMR preparation. We found that phosphate-ethanol extraction was effective for the removal citrinin, yet it could retain monacolin K, because the former was more hydrophilic than the latter in phosphate-ethanol solution. Ethanol, phosphate, and extraction time were optimized as factors of response surface methodology (RSM). It was found that the optimal RSM condition was 45% ethanol, 1.5% phosphate, and extraction for 70 min. Under this optimal condition, 91.6% citrinin was removed and 79.5% monacolin K was retained in the final RMR.

Indoor microbial communities have important implications for human health, especially in health-care institutes (HCIs). The factors that determine the diversity and composition of microbiomes in a built environment remain unclear. Herein, we used 16S rRNA amplicon sequencing to investigate the relationships between building attributes and surface bacterial communities among four HCIs located in three buildings. We examined the surface bacterial communities and environmental parameters in the buildings supplied with different ventilation types and compared the results using a Dirichlet multinomial mixture (DMM)-based approach. A total of 203 samples from the four HCIs were analyzed. Four bacterial communities were grouped using the DMM-based approach, which were highly similar to those in the 4 HCIs. The α-diversity and β-diversity in the naturally ventilated building were different from the conditioner-ventilated building. The bacterial source composition varied across each building. Nine genera were found as the core microbiota shared by all the areas, of which Acinetobacter, Enterobacter, Pseudomonas, and Staphylococcus are regarded as healthcare-associated pathogens (HAPs). The observed relationship between environmental parameters such as core microbiota and surface bacterial diversity suggests that we might manage indoor environments by creating new sanitation protocols, adjusting the ventilation design, and further understanding the transmission routes of HAPs.

Botulinum toxin type A can produce dramatic improvements in patients with benign masseteric hypertrophy but this method alone is not as effective for patients with a rounded lower face. The paper describes the effective use of selective lower jowl phosphatidylcholine/deoxycholate lipolysis and chin, cheek, and nose augmentation with hyaluronic acid to refine cosmetic lower facial contouring using botulinum toxin type A in a young Asian woman. A series of treatments was administered over 26 months. The patient's lower cheeks were slimmed and jowl definition was improved producing the patient's desired sculptured, heart-shaped face. The injection-based procedures provided much preferable alternative to surgery from the perspective of both the patient and her family. The authors believe that this is the first case report in the published literature reporting these three methods used in conjunction.