The pathogenesis and cisplatin chemoresistance of ovarian cancer (OC) are still unclear. Vacuolar protein sorting-associated 33B (VPS33B) has not been reported in OC to date. In this study, immunohistochemistry was used to detect VPS33B protein expression between OC and ovarian tissues. MTT, EdU, colony formation, cell cycle, in vivo tumorigenesis, western blot, ChIP, EMSA, co-immunoprecipitation (CoIP), qRT-PCR, and microconfocal microscopy were used to explore the function and molecular mechanisms of VPS33B in OC cells. The results of the present study demonstrated that VPS33B protein expression was obviously reduced in OC compared with that in ovarian tissues. Overexpressed VPS33B suppressed cell cycle transition, cell growth, and chemoresistance to cisplatin in vitro and in vivo. Analysis of the mechanism indicated that overexpressed VPS33B regulated the epidermal growth factor receptor (EGFR)/PI3K/AKT/c-Myc/p53/miR-133a-3p feedback loop and reduced the expression of the cell cycle factor CDK4. Nasopharyngeal epithelium-specific protein 1 (NESG1) as a tumor suppressor not only interacted with VPS33B, but was also induced by VPS33B by the attenuation of PI3K/AKT/c-Jun-mediated transcription inhibition. Overexpressed NESG1 further suppressed cell growth by mediating VPS33B-modulated signals in VPS33B-overexpressing OC cells. Finally, NESG1 induced VPS33B expression by reducing the inhibition of PI3K/AKT/c-Jun-mediated transcription. https://www.selleckchem.com/products/iox1.html Our study is the first to demonstrate that VPS33B serves as a tumor suppressor, and VPS33B can interact with NESG1 to suppress cell growth and promote cisplatin sensitivity by regulating the EGFR/PI3K/AKT/c-Myc/p53/miR-133a-3p feedback loop in OC cells. There was no nation-wide moderate- to vigorous-intensity physical activity (MVPA) data among Japanese adolescents. This study assessed the compliance with the MVPA guideline in adolescents using a random sampling survey in Japan. The factors associated with meeting the guideline were also examined. Participants were 1st to 3rd grade Japanese junior high school students (307 boys and 255 girls). We analyzed data of the National Sports-Life Survey of Teens 2019 which used the Japanese version of PA questions in the WHO Health Behaviour in School-aged Children survey and potential correlates of MVPA. The compliance with meeting PA guideline by the WHO for Japanese students was 19.0% (95% CI, 15.8 - 22.3). The compliance for boys was significantly higher than that of girls (23.1%; 95% CI, 18.4 - 27.8; vs, 14.1%; 95% CI, 9.8 -18.4). Meeting PA guideline was significantly associated with boys in the second grade than boys in the first grade (OR 1.78; 95% CI, 1.02 - 3.09), liking PA (for all OR 2.97; 95% CI, 1.32 - 6.69; for girls OR 2.99; 95% CI, 1.01 - 8.81), and sports participation (for all OR 4.77; 95% CI, 2.32 - 9.80; for boys OR 6.00; 95% CI, 1.81 - 19.89; for girls OR 4.08; 95% CI, 1.63 - 10.21). The results suggest that more than 80% junior high school students were insufficiently physically active in Japan. Preference for PA and sports participation may be important correlates of sufficient PA. The results suggest that more than 80% junior high school students were insufficiently physically active in Japan. Preference for PA and sports participation may be important correlates of sufficient PA. Although methamphetamine use is a serious public health problem, large-scale cohort studies assessing methamphetamine-related mortality are scant. This study investigated all-cause mortality and suicide methods in people with methamphetamine use disorder. A cohort record-linkage study using data from Taiwan's National Health Research Institute Database (NHIRD) linked to Taiwan's National Death Certification System. Taiwan. A total of 23 248 individuals with methamphetamine use disorder between 1 January 2001 and 31December 2005. The outcome variables included mortality rates and standardized mortality ratios (SMRs) for all causes of death and for each suicide method. Compared with the general population, the current cohort had an increased all-cause mortality (SMR=5.4), with the SMR for unnatural causes (14.8) higher than that for natural causes (7.5). Among all causes of death, suicide had the highest SMR (16.3), followed by neurological diseases (9.7). Among the methods of choice for suicide, drug overdose had the highest SMR (24.9). The incidence of charcoal burning and hanging was significantly higher in men and that of jumping from a high place was significantly higher in women. People in Taiwan with methamphetamine use disorder appear to have a significantly increased all-cause mortality rate compared with the general population, with suicide having the highest contribution, particularly suicide via drug overdose. The methods of choice for suicide revealed distinct patterns between men and women. People in Taiwan with methamphetamine use disorder appear to have a significantly increased all-cause mortality rate compared with the general population, with suicide having the highest contribution, particularly suicide via drug overdose. The methods of choice for suicide revealed distinct patterns between men and women.Although most dramatic structural changes occur in the perinatal period, a growing body of evidences demonstrates that adolescence and early adulthood are also important for substantial neurodevelopment. We were thus motivated to explore brain development during puberty by evaluating functional connectivity network (FCN) differences between childhood and young adulthood using multi-paradigm task-based functional magnetic resonance imaging (fMRI) measurements. Different from conventional multigraph based FCN construction methods where the graph network was built independently for each modality/paradigm, we proposed a multigraph learning model in this work. It promises a better fitting to FCN construction by jointly estimating brain network from multi-paradigm fMRI time series, which may share common graph structures. To investigate the hub regions of the brain, we further conducted graph Fourier transform (GFT) to divide the fMRI BOLD time series of a node within the brain network into a range of frequencies. Then we identified the hub regions characterizing brain maturity through eigen-analysis of the low frequency components, which were believed to represent the organized structures shared by a large population.