Although physiological changes are the most evident indicators of skin aging by alteration of the skin’s structure and function, we question whether skin aging is also affected by the structure and assembly process of the skin microbiome. We analysed the skin microbiomes of 73 healthy Chinese women in two age groups (25–35 years old and 56–63 years old) using 16S rRNA gene amplicon sequencing; the overall microbiome structure was significantly different between the two age groups. An analysis using ecological theory to evaluate the process of microbial community assembly processes revealed that the microbiomes of the older group were formed under a greater influence of the niche-based process, with the network of microbes being more collapsed than that of the younger group. Inferred metagenomic functional pathways associated with replication and repair were relatively more predominant in the younger group whereas, among the various metabolism-related pathways, those associated with biodegradation were more predominant in the older group. Interestingly, we found two segregated sub-typing patterns in the younger group which were also observed in the skin microbiomes of young Chinese women living in four other cities in China. The results of our study highlights candidate microbes and functional pathways that are important for future research into preventing skin aging and which could lead to a comprehensive understanding of age-related skin microbiome characteristics.
Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposing machine-learning algorithms as a way to predict the Unified Parkinson’s Disease Rating Scale (UPDRS), which are similar to how neurologists rate scores in actual clinical practice. In this study, the tremor signals of 85 patients with Parkinson’s disease (PD) were measured using a wrist-watch-type wearable device consisting of an accelerometer and a gyroscope. The displacement and angle signals were calculated from the measured acceleration and angular velocity, and the acceleration, angular velocity, displacement, and angle signals were used for analysis. Nineteen features were extracted from each signal, and the pairwise correlation strategy was used to reduce the number of feature dimensions. With the selected features, a decision tree (DT), support vector machine (SVM), discriminant analysis (DA), random forest (RF), and k-nearest-neighbor (kNN) algorithm were explored for automatic scoring of the Parkinsonian tremor severity. The performance of the employed classifiers was analyzed using accuracy, recall, and precision, and compared to other findings in similar studies. Finally, the limitations and plans for further study are discussed.
Respiratory distress syndrome (RDS), which is induced by insufficient production of surfactant, is the leading cause of mortality in preterm babies. Although several transcription factors are known to be involved in surfactant protein expression, the molecular mechanisms and signaling pathways upstream of these transcription factors have remained elusive. Here, using mammalian Hippo kinases (Mst1/2, mammalian sterile 20-like kinase 1/2) conditional knockout mice, we demonstrate that Mst1/2 kinases are critical for orchestration of transcription factors involved in surfactant protein homeostasis and prevention of RDS. Mice lacking Mst1/2 in the respiratory epithelium exhibited perinatal mortality with respiratory failure and their lungs contained fewer type I pneumocytes and more immature type II pneumocytes lacking microvilli, lamellar bodies, and surfactant protein expression, pointing to peripheral lung immaturity and RDS. In contrast to previous findings of YAP (Yes-associated protein)-mediated canonical Hippo signaling in the liver and intestine, loss of Mst1/2 kinases induced the defects in pneumocyte differentiation independently of YAP hyperactivity. We instead found that Mst1/2 kinases stabilized and phosphorylated the transcription factor Foxa2 (forkhead box A2), which regulates pneumocyte maturation and surfactant protein expression. Taken together, our results suggest that the mammalian Hippo kinases play crucial roles in surfactant homeostasis and coordination of peripheral lung differentiation through regulation of Foxa2 rather than of YAP.non-canonical Hippo pathway | lung development P eripheral lung immaturity and deficiency of pulmonary surfactant cause many intractable pulmonary diseases. Deficit of surfactant because of preterm birth or genetic disorders of surfactant homeostasis induce respiratory distress syndrome (RDS) in the newborn period (1). Dysregulation of these genes also underlies the pathogenesis of many chronic lung diseases that have been considered idiopathic, such as interstitial lung disease, pulmonary alveolar proteinosis, and others (2). Elucidating the mechanism underlying regulation of surfactant would be very helpful for understanding the molecular basis of refractory lung diseases of both infants and adults.Alveoli are composed of type I and type II pneumocytes. The type II pneumocyte is the progenitor cell of the type I pneumocyte and plays a central role in physiological pulmonary functions, especially surfactant production (3). Type I pneumocytes contact alveolar capillaries and participate in gas exchange. Lung morphogenesis in mice is a dynamic process that can be divided into embryonic [embryonic day (E) 9-11.5], pseudoglandular (E11.5-16.5), canalicular (E16.5-17.5), saccular [E17.5 to postnatal (PN) day 5], and alveolar (PN5-28) stages. During canalicular and saccular stages in late gestation, peripheral lungs containing type I and II pneumocytes fully differentiate in preparation for postnatal respiration (4).Many transcription factors, including Foxa2 (forkhead...
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