Plasma biomarkers of depressive symptoms in older adults

The pathophysiology of negative affect states in older adults is complex, and a host of central nervous system and peripheral systemic mechanisms may play primary or contributing roles. We conducted an unbiased analysis of 146 plasma analytes in a multiplex biochemical biomarker study in relation to number of depressive symptoms endorsed by 566 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments. Analytes that were most highly associated with depressive symptoms included hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma protein-A and vascular endothelial growth factor. Separate regression models assessed contributions of past history of psychiatric illness, antidepressant or other psychotropic medicine, apolipoprotein E genotype, body mass index, serum glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of these values significantly attenuated the main effects of the candidate analyte levels for depressive symptoms score. Ensemble machine learning with Random Forests found good accuracy (∼80%) in classifying groups with and without depressive symptoms. These data begin to identify biochemical biomarkers of depressive symptoms in older adults that may be useful in investigations of pathophysiological mechanisms of depression in aging and neurodegenerative dementias and as targets of novel treatment approaches

Circulation of intergenotype recombinant noroviruses GII.9/GII.6 from 2006 to 2011 in central Greece

Noroviruses (NoVs) are members of the Caliciviridae family and are recognized as a worldwide cause of acute nonbacterial gastroenteritis. Based on the genetic analysis of the RdRp and capsid regions, human NoVs are divided into three genogroups (Gs), GI, GII, and GIV, which further segregate into distinct lineages called genotypes. In this study, in an attempt to discern the circulation of an intergenotypic recombinant GII.9/GII.6, which was previously reported by our group in central Greece, we investigated NoVs in raw sewages from 2006 to 2011 and compared the results with the viruses detected from clinical samples in the same area and in the same time period. Two specific primer pairs for NoVs were designed which amplified in a single PCR fragment from polymerase to capsid gene covering the widespread recombination point in ORF1/ORF2 junction. Based on the genetic analysis, recombinant NoV strains GII.9/GII.6 were identified. Fourteen out of 15 environmental and eight out of ten clinical samples that were used in the present study were positive, with both primer pairs, confirming that the intergenotypic recombinant GII.9/GII.6 was circulating in the population of central Greece from 2006 to 2011. The crossover point was identified to be within the overlapping region of ORF1/ORF2 (GII.9/GII.6, respectively) and was determined by Simplot at nucleotide position 5,032 bp

Stratospheric and mesospheric data assimilation: the role of middle atmospheric dynamics

The middle atmosphere refers to the stratosphere and mesosphere and features dynamics and circulationsthat are fundamentally different from those of the troposphere. The large-scale meridional circulations inthe middle atmosphere operate on seasonal and longer time scales and are largely forced by the breakingof upward propagating waves. The winter stratosphere is dominated by large-scale waves and a polarvortex which confines constituents and which is sometimes punctuated by stratospheric sudden warmings.In contrast, the summer stratosphere is quiescent. Meanwhile, the meridional circulation in themesosphere is mainly driven by the breaking of a broad spectrum of gravity waves that have propagatedupward from the troposphere. These facets of middle atmosphere dynamics have implications for, andpose unique challenges to, data assimilation systems whose models encompass this region of theatmosphere. In this work, we provide an overview of middle atmosphere data assimilation in the contextof the dynamics of this region. The purpose is to demonstrate how the dynamics can be used to explainthe behavior of data assimilation systems in the middle atmosphere, and also to identify challenges inassimilating measurements from this region of the atmosphere. There are two overarching themes.Firstly, we consider the vertical propagation of information through waves, resolved and parameterized,and background error covariances. Secondly, we delve into the dynamical sources of model errors andtechniques for their estimation.Fil: Polavarapu, Saroja. Environment and Climate Change Canada; CanadáFil: Pulido, Manuel Arturo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnológica; Argentin