45 research outputs found
Causes and clinical features of childhood encephalitis: a multicenter, prospective cohort study
BACKGROUND:We aimed to determine the contemporary causes, clinical features, and short-term outcome of encephalitis in Australian children. METHODS:We prospectively identified children (≤14 years of age) admitted with suspected encephalitis at 5 major pediatric hospitals nationally between May 2013 and December 2016 using the Paediatric Active Enhanced Disease Surveillance (PAEDS) Network. A multidisciplinary expert panel reviewed cases and categorized them using published definitions. Confirmed encephalitis cases were categorized into etiologic subgroups. RESULTS:From 526 cases of suspected encephalitis, 287 children met criteria for confirmed encephalitis: 57% (95% confidence interval [CI], 52%-63%) had infectious causes, 10% enterovirus, 10% parechovirus, 8% bacterial meningoencephalitis, 6% influenza, 6% herpes simplex virus (HSV), and 6% Mycoplasma pneumoniae; 25% (95% CI, 20%-30%) had immune-mediated encephalitis, 18% acute disseminated encephalomyelitis, and 6% anti-N-methyl-d-aspartate receptor encephalitis; and 17% (95% CI, 13%-21%) had an unknown cause. Infectious encephalitis occurred in younger children (median age, 1.7 years [interquartile range {IQR}, 0.1-6.9]) compared with immune-mediated encephalitis (median age, 7.6 years [IQR, 4.6-12.4]). Varicella zoster virus encephalitis was infrequent following high vaccination coverage since 2007. Thirteen children (5%) died: 11 with infectious causes (2 influenza; 2 human herpesvirus 6; 2 group B Streptococcus; 2 Streptococcus pneumoniae; 1 HSV; 1 parechovirus; 1 enterovirus) and 2 with no cause identified. Twenty-seven percent (95% CI, 21%-31%) of children showed moderate to severe neurological sequelae at discharge. CONCLUSIONS:Epidemic viral infections predominated as causes of childhood encephalitis in Australia. The leading causes include vaccine-preventable diseases. There were significant differences in age, clinical features, and outcome among leading causes. Mortality or short-term neurological morbidity occurred in one-third of cases.Philip N Britton, Russell C Dale, Christopher C Blyth, Julia E Clark, Nigel Crawford, Helen Marshall ... et al
Genetic Sharing with Cardiovascular Disease Risk Factors and Diabetes Reveals Novel Bone Mineral Density Loci.
Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity
The Physics of Star Cluster Formation and Evolution
© 2020 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1007/s11214-020-00689-4.Star clusters form in dense, hierarchically collapsing gas clouds. Bulk kinetic energy is transformed to turbulence with stars forming from cores fed by filaments. In the most compact regions, stellar feedback is least effective in removing the gas and stars may form very efficiently. These are also the regions where, in high-mass clusters, ejecta from some kind of high-mass stars are effectively captured during the formation phase of some of the low mass stars and effectively channeled into the latter to form multiple populations. Star formation epochs in star clusters are generally set by gas flows that determine the abundance of gas in the cluster. We argue that there is likely only one star formation epoch after which clusters remain essentially clear of gas by cluster winds. Collisional dynamics is important in this phase leading to core collapse, expansion and eventual dispersion of every cluster. We review recent developments in the field with a focus on theoretical work.Peer reviewe
Physical Processes in Star Formation
© 2020 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1007/s11214-020-00693-8.Star formation is a complex multi-scale phenomenon that is of significant importance for astrophysics in general. Stars and star formation are key pillars in observational astronomy from local star forming regions in the Milky Way up to high-redshift galaxies. From a theoretical perspective, star formation and feedback processes (radiation, winds, and supernovae) play a pivotal role in advancing our understanding of the physical processes at work, both individually and of their interactions. In this review we will give an overview of the main processes that are important for the understanding of star formation. We start with an observationally motivated view on star formation from a global perspective and outline the general paradigm of the life-cycle of molecular clouds, in which star formation is the key process to close the cycle. After that we focus on the thermal and chemical aspects in star forming regions, discuss turbulence and magnetic fields as well as gravitational forces. Finally, we review the most important stellar feedback mechanisms.Peer reviewedFinal Accepted Versio
Contrast Enhanced Computed Tomography can predict the glycosaminoglycan content and biomechanical properties of articular cartilage
Objective: An early hallmark of osteoarthritis (OA) is the progressive loss of glycosaminoglycans (GAGs), the extracellular matrix (ECM) component of articular cartilage that confers it with compressive stiffness. Our aim in this work is to establish the feasibility of using Contrast Enhanced Computed Tomography (CECT) with an anionic iodinated contrast agent – Cysto Conray II – as a minimally invasive tool to measure the changes in the GAG content as well as the compressive stiffness of articular cartilage. Methods: The GAG content of mated osteochondral plugs excised from bovine patello-femoral joints was progressively degraded using chondroitinase ABC. The mated plugs were then immersed in an anionic, tri-iodinated contrast agent, imaged using peripheral quantitative computed tomography (pQCT), subjected to an unconfined compressive stress relaxation test and the GAG content measured using 1,9-dimethylmethylene blue (DMMB) assay. Partial correlation analysis was performed to compare the variation in X-ray attenuation measured by pQCT to the variation in GAG content and in equilibrium compressive modulus. Results: The X-ray attenuation of cartilage exposed to an anionic, tri-iodinated, contrast agent measured by quantitative computed tomography (QCT) accounted for 83% of the variation in GAG content (r2=0.83, P<0.0001) and 93% of the variation in the equilibrium compressive modulus (r2=0.93, P<0.0001). Conclusion: Using a mated osteochondral plug model to evaluate the biochemical composition and biomechanical properties of cartilage, this study demonstrates the interrelationships between X-ray attenuation, GAG content, and equilibrium compressive modulus, and that CECT can be used to monitor and quantify changes in the GAG content and biomechanical properties of articular cartilage.Chemistry and Chemical Biolog
Hydrogen bonded supramolecular assemblies based on neutral squareplanar palladium(II) complexes
An isomeric series of seven, square-planar, neutral dichloropalladium(II) complexes cis-PdCl2{P,P-C6H3N(CH2PPh2)2(CO2H)(OH)} 2a–2g have been synthesised in high yields (70–99%) from PdCl2(cod) (cod = cycloocta-1,5-diene) and the appropriate ligands C6H3N(CH2PPh2)2(CO2H)–(OH) 1a–1g in CH2Cl2. The new ditertiary phosphine C6H3N(CH2PPh2)2(3-CO2H)(4-CO2H) 3, bearing two remote carboxylic acid groups on the N-arene backbone, was prepared by condensation of H2NC6H3(3-CO2H)(4-CO2H) with 2 equiv. of Ph2PCH2OH in MeOH. The palladium(II) complex cis-{P,P-PdCl2C6H3N(CH2PPh2)2(3-CO2H)(4-CO2H)} 4 was synthesised in an analogous fashion to 2a–2g. Solution NMR (31P{1H}, 1H), FT-IR, ms and microanalytical data are in full agreement with the proposed structures
CRF receptor 1 regulates anxiety behavior via sensitization of 5-HT2 receptor signaling
5-HT2 and corticotrophin releasing factor (CRF) receptors both regulate stress responses and anxiety behavior; however, potential cross-talk between the two pathways is poorly understood. Magalhaes et al. find that CRF receptor activation causes cell-surface recruitment of constitutively internalized 5-HT2 receptor and that this mechanism is relevant to anxiety-related behaviors