De novo loss-of-function mutations in methyl-CpG-binding protein 2 (MeCP2) lead to the neurodevelopmental disorder Rett syndrome (RTT). Despite promising results from strategies aimed at increasing MeCP2 levels, additional studies exploring how hypomorphic MeCP2 mutations impact the therapeutic window are needed. Here, we investigated the consequences of genetically introducing a wild-type MECP2 transgene in the Mecp2 R133C mouse model of RTT. The MECP2 transgene reversed the majority of RTT-like phenotypes exhibited by male and female Mecp2 R133C mice. However, three core symptom domains were adversely affected in female Mecp2R133C/+ animals; these phenotypes resemble those observed in disease contexts of excess MeCP2. Parallel control experiments in Mecp2Null/+ mice linked these adverse effects to the hypomorphic R133C mutation. Collectively, these data provide evidence regarding the safety and efficacy of genetically overexpressing functional MeCP2 in Mecp2 R133C mice and suggest that personalized approaches may warrant consideration for the clinical assessment of MeCP2-targeted therapies.When making decisions regarding the investment and design for a Phase 3 programme in the development of a new drug, the results from preceding Phase 2 trials are an important source of information. However, only projects in which the Phase 2 results show promising treatment effects will typically be considered for a Phase 3 investment decision. This implies that, for those projects where Phase 3 is pursued, the underlying Phase 2 estimates are subject to selection bias. We will in this article investigate the nature of this selection bias based on a selection of distributions for the treatment effect. We illustrate some properties of Bayesian estimates, providing shrinkage of the Phase 2 estimate to counteract the selection bias. We further give some empirical guidance regarding the choice of prior distribution and comment on the consequences for decision-making in investment and planning for Phase 3 programmes. There is a lack of evidence on the usage of the quality assessment tool-the Risk Of Bias In Nonrandomized Studies-of Interventions (ROBINS-I). This article aimed to measure the reliability, criterion validity, and feasibility of the ROBINS-I and the Newcastle-Ottawa Scale (NOS). A sample of systematic reviews or meta-analyses of observational studies were selected from Medline (2013-2017) and assessed by two reviewers using ROBINS-I and the NOS. https://www.selleckchem.com/products/pomhex.html We reported on reliability in terms of the first-order agreement coefficient (AC1) statistic. Correlation coefficient statistic was used to explore the criterion validity of the ROBINS-I. We compared the feasibility of the ROBINS-I and NOS by recording the time to complete an assessment and the instances where assessing was difficult. Five systematic reviews containing 41 cohort studies were finally included. Interobserver agreement on the individual domain of the ROBINS-I as well as the NOS was substantial with a mean AC1 statistic of 0.67 (95% CI 0.50-0.83) and 0.73 (95% CI 0.65-0.81), respectively. The criterion validity of the ROBNS-I was moderate (K=0.52) against NOS. The time in assessing a single study by ROBINS-I varied from 7hours initially to 3hours compared with 30 minutes for the NOS. Both reviewers rated "bias due to departure from the intended interventions" the most time-consuming domain in the ROBINS-I, items in the NOS were equal. The ROBINS-I and the NOS seem to provide the same reliability but vary in applicability. The over-complicated feature of ROBINS-I may limit its usage and a simplified version is needed. The ROBINS-I and the NOS seem to provide the same reliability but vary in applicability. The over-complicated feature of ROBINS-I may limit its usage and a simplified version is needed.This study aimed to investigate the effects of COVID-19 on the prevalence of acute stress disorder and subsequent effects on career planning among healthcare students. A cross-sectional survey was conducted among 1158 healthcare students across five medical universities in February 2020. Acute stress disorder was assessed using the Stanford Acute Stress Response Questionnaire. Further data regarding COVID-19 knowledge, individual behaviours, occupational choices, and career planning were collected. Based on the results of the Stanford Acute Stress Response Questionnaire, the students were divided into high-risk and low-risk groups for acute stress disorder. The correlation between acute stress disorder and the impact on career planning was analysed. The high-risk group comprised 143 (12.3%) participants, while 1015 (87.7%) participants were in the low-risk group. Two factors increased the risk of acute stress disorder in the students, including 'I think the pandemic is far away from me' (B 1.27, 95%CI 1.60-7.87) and 'Physical contact with confirmed or suspected cases' (B 2.49, 95%CI 3.42-42.44). Those who obtained pandemic information from official media sources indicated a lower risk of acute stress disorder (B -0.24, 95%CI 0.49-1.26). The high-risk group was more likely to quit the medical profession after graduation. The COVID-19 pandemic may cause acute stress disorder among healthcare students and affect their career planning. Universities and relevant departments should provide more information and moral support for these students.The catalytic activity of metal clusters is closely related with the support; however, knowledge on the influence of the support on the catalytic activity is scarce. We demonstrate that Pt nanoclusters (NCs) anchored on porous TiO2 nanosheets with rich oxygen vacancies (VO -rich Pt/TiO2 ) and deficient oxygen vacancies (VO -deficient Pt/TiO2 ), display significantly different catalytic activity for the hydrogen evolution reaction (HER), in which VO -rich Pt/TiO2 shows a mass activity of 45.28 A mgPt -1 at -0.1 V vs. RHE, which is 16.7 and 58.8 times higher than those of VO -deficient Pt/TiO2 and commercial Pt/C, respectively. DFT calculations and in situ Raman spectra suggest that porous TiO2 with rich oxygen vacancies can simultaneously achieve reversed charge transfer (electrons transfer from TiO2 to Pt NCs) and enhanced hydrogen spillover from Pt NCs to the TiO2 support, which leads to electron-rich Pt NCs being amenable to proton reduction of absorbed H*, as well as the acceleration of hydrogen desorption at Pt catalytic sites-both promoting the HER.