22 research outputs found

    Effectiveness of Ledipasvir-Sofosbuvir Combination in Patients With Hepatitis C Virus Infection and Factors Associated With Sustained Virologic Response

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    The combination of ledipasvir and sofosbuvir has been approved for treatment of genotype 1 hepatitis C virus (HCV) infection, including an 8-week regimen for treatment-naïve patients without cirrhosis and a baseline level of HCV RNA <6 million IU/mL. We analyzed data from a multicenter, prospective, observational study to determine real-world sustained virologic responses 12 weeks after treatment (SVR12) with regimens containing ledipasvir and sofosbuvir and identify factors associated with treatment failure

    Direction-Selective Circuitry in Rat Retina Develops Independently of GABAergic, Cholinergic and Action Potential Activity

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    The ON-OFF direction selective ganglion cells (DSGCs) in the mammalian retina code image motion by responding much more strongly to movement in one direction. They do so by receiving inhibitory inputs selectively from a particular sector of processes of the overlapping starburst amacrine cells, a type of retinal interneuron. The mechanisms of establishment and regulation of this selective connection are unknown. Here, we report that in the rat retina, the morphology, physiology of the ON-OFF DSGCs and the circuitry for coding motion directions develop normally with pharmacological blockade of GABAergic, cholinergic activity and/or action potentials for over two weeks from birth. With recent results demonstrating light independent formation of the retinal DS circuitry, our results strongly suggest the formation of the circuitry, i.e., the connections between the second and third order neurons in the visual system, can be genetically programmed, although emergence of direction selectivity in the visual cortex appears to require visual experience

    Search for supersymmetry in proton-proton collisions at 13 TeV using identified top quarks

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    A search for supersymmetry is presented based on proton-proton collision events containing identified hadronically decaying top quarks, no leptons, and an imbalance p(T)(miss) in transverse momentum. The data were collected with the CMS detector at the CERN LHC at a center-of-mass energy of 13 TeV, and correspond to an integrated luminosity of 35.9 fb(-1). Search regions are defined in terms of the multiplicity of bottom quark jet and top quark candidates, the p(T)(miss) , the scalar sum of jet transverse momenta, and themT2 mass variable. No statistically significant excess of events is observed relative to the expectation from the standard model. Lower limits on the masses of supersymmetric particles are determined at 95% confidence level in the context of simplified models with top quark production. For a model with direct top squark pair production followed by the decay of each top squark to a top quark and a neutralino, top squark masses up to 1020 GeVand neutralino masses up to 430 GeVare excluded. For amodel with pair production of gluinos followed by the decay of each gluino to a top quark-antiquark pair and a neutralino, gluino masses up to 2040 GeVand neutralino masses up to 1150 GeVare excluded. These limits extend previous results.Peer reviewe

    Combined immunodeficiency with EBV positive B cell lymphoma and epidermodysplasia verruciformis due to a novel homozygous mutation in RASGRP1

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    RASGRP1 is a guanine-nucleotide-exchange factor essential for MAP-kinase mediated signaling in lymphocytes. We report the second case of RASGRP1 deficiency in a patient with a homozygous nonsense mutation in the catalytic domain of the protein. The patient had epidermodysplasia verruciformis, suggesting a clinically important intrinsic T cell function defect. Like the previously described patient, our proband also presented with CD4+ T cell lymphopenia, impaired T cell proliferation to mitogens and antigens, reduced NK cell function, and EBV-associated lymphoma. The severity of the disease and the development of EBV lymphoma in both patients suggest that hematopoietic stem cell transplantation should be performed rapidly in patients with RASGRP1 deficiency

    Visualisation and network analysis of physical activity and its determinants: Demonstrating opportunities in analysing baseline associations in the Let’s Move It trial

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    PEER REVIEWED VERSION NOW OPEN ACCESS AT https://doi.org/10.1080/21642850.2019.1646136. Supplementary website: https://git.io/fhxvu. Background: Let's Move It is a complex whole-school system intervention aiming to reduce sedentary behaviours (SB) and increase physical activity (PA) among adolescents in vocational schools, by targeting their environmental and psychosocial determinants. This paper describes participants' baseline characteristics in a cluster-randomised trial testing the Let's Move It intervention, and explores possibilities for visual data presentation, making use of recent developments in software and network analyses. We provide an example of a comprehensive research report with all analysis code and results in a readily accessible format, allowing other researchers to apply these tools to their own data. Methods: At baseline, 1166 adolescents in 57 classes at 6 school clusters, distributed across four educational tracks, participated the study. We measured PA and SB (with 7-day accelerometry), psychological and social constructs hypothesised to affect the intervention's effects on outcomes (with questionnaires), and body composition (with bioimpedance measurement). Data were visualised using various techniques, e.g., combining ridge plots and diamond plots. Network analysis was used to explore relations between psychological/social variables and outcomes. Results: Participants' mean age was 18.5 (Median = 18.0) years. On average, participants engaged in moderate-to-vigorous daily PA for 1h 5min (CI95: 0h 57min - 1h 13min), SB for 8h 44min (CI95: 8h 4min - 9h 24min), and interrupted their sitting 25.8 times (CI95: 23.5 - 28.0) per day on average. Cluster randomisation appeared to result in balanced distributions for baseline characteristics between intervention and control groups, but differences emerged across the four educational tracks. Self-reported behaviour change technique (BCT) use was low for many but not all techniques. A network analysis revealed direct relationships between PA and behavioural experiments, planning and autonomous motivation. Several BCTs were connected to PA via autonomous motivation. Conclusions: Data-visualisation and data exploration techniques (e.g. network analysis) can help reveal the dynamics involved in complex multi-causal systems -- a challenging task with traditional data presentations. The benefits of presenting complex data visually should encourage researchers to publish extensive analyses and descriptions as website supplements, which would increase the speed and quality of scientific communication, as well as help to address the crisis of reduced confidence in research findings
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