Vesterboel1805

Two strong but related candidates are the repressor element-1 silencing transcription factor (REST), which in adult neurons impairs plasticity; and a miRNA, for example, miRNA124, that represses REST. Another possible explanation is that only those patients with MCI who will not progress to AD are the ones that have gene expressions in the opposite direction as in AD. The solution to the paradox may have pragmatic value. © 2020 The Authors. Alzheimer's & Dementia Translational Research & Clinical Interventions published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.Introduction Disruption of metabolic function is a recognized feature of late onset Alzheimer's disease (LOAD). We sought to determine whether similar metabolic pathways are implicated in adults with Down syndrome (DS) who have increased risk for Alzheimer's disease (AD). Methods We examined peripheral blood from 292 participants with DS who completed baseline assessments in the Alzheimer's Biomarkers Consortium-Down Syndrome (ABC-DS) using untargeted mass spectrometry (MS). Hexadimethrine Bromide Our sample included 38 individuals who met consensus criteria for AD (DS-AD), 43 who met criteria for mild cognitive impairment (DS-MCI), and 211 who were cognitively unaffected and stable (CS). Results We measured relative abundance of 8,805 features using MS and 180 putative metabolites were differentially expressed (DE) among the groups at false discovery rate-corrected q less then 0.05. From the DE features, a nine-feature classifier model classified the CS and DS-AD groups with receiver operating characteristic area under the curve (ROC AUC) of 0.86 and a two-feature model classified the DS-MCI and DS-AD groups with ROC AUC of 0.88. Metabolite set enrichment analysis across the three groups suggested alterations in fatty acid and carbohydrate metabolism. Discussion Our results reveal metabolic alterations in DS-AD that are similar to those seen in LOAD. The pattern of results in this cross-sectional DS cohort suggests a dynamic time course of metabolic dysregulation which evolves with clinical progression from non-demented, to MCI, to AD. Metabolomic markers may be useful for staging progression of DS-AD. © 2020 The Authors. Alzheimer's & Dementia Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of the Alzheimer's Association.Adolescence is not only characterized by a period of exploration and experimentation but also by vulnerability to risk-behaviors (substance-use, suicidal behavior, and sexual behavior) that can have many negative consequences. Given the lack of studies in Nepal and the variable results from international studies on the association of self-esteem, perceived social support (PSS), and social capital (SC) with risk behaviors, this study aimed to assess the role of these factors by specifying different sources of PSS (family, friends, and others) and SC (family, school, and neighbors), and controlling for demographic, socioeconomic-status (SES), family, and school related factors. A total of 943 adolescents (grades 9-11) in 8 schools from 3 provinces in Nepal participated in the study, and were selected by multi-stage, cluster, random sampling. Data were collected through a self-administered questionnaire (response rate; 91.9%). Multivariate logistic regression analysis ( less then 0.05 significance) revealed that family SC (OR = 0.83) and PSS from family (OR = 0.95) were negatively associated with substance-use. Self-esteem (OR = 0.90), family and school SC (OR = 0.80 and 0.91, respectively), and PSS from family and friends (OR = 0.95 and 0.96, respectively) were protective against suicidal risk. None of the independent variables showed a preventive association with sexual behavior, but self-esteem was positively associated (OR = 1.11). Therefore, to improve the likelihood of adolescents becoming healthy adults, family and school level interventions to enhance self-esteem, PSS, and SC are helpful in protecting them against substance use and suicidal behavior. On the other hand, adolescents with high self-esteem are at greater risk for inappropriate sexual behavior and should therefore be monitored. © 2020 The Authors. Published by Elsevier Ltd.Incarceration is definitively linked to poor health, and upon release from prison, many individuals experience difficulty in maintaining good health. Given the complexity of the reentry process, one's health status, both in and out of prison, likely influences additional aspects of reentry, such as abstaining from crime or adhering to parole terms. The purpose of this study is to determine whether in-prison physical and mental health, as well as changes to an individual's health upon release from prison, are related to the likelihood of recidivating. We employ the Serious and Violent Reentry Initiative (SVORI) data, a multi-state sample of formerly incarcerated males who are followed from prison to release into the community and interviewed about a number of post-prison release issues, including health. We use hierarchical logistic and multinomial regressions, where survey waves are nested within people, to assess if in-prison physical and mental health and post-release changes to health are associated with reir odds of recidivating, thus contributing to the churning of individuals through the prison system. © 2020 The Authors.Access to firearms and perceived unsafe school environments are associated with negative adolescent health outcomes. Whether widespread acceptance of firearms alters these associations, however, is unknown. To address this literature gap, we examined whether peer acceptance of firearms moderates associations between personal firearm access and health outcomes. In 2018-2019, we analyzed Wave I of the National Longitudinal Study of Adolescent to Adult Health (collected 1994-1995) to assess personal firearm access and school-level percentage of firearm access, using weighted multilevel analyses with interactions to determine associations among personal access, school-level percentage of access, and adolescent depression, suicidality, general health, and perceived school safety. Models controlled for age, sex, race, region, urbanicity, family structure, parental income and education level, school type, school size, and school quality. Results showed that personal firearm access was associated with depression (OR 1.