Costs and health-related quality of life in patients with NMO spectrum disorders and MOG-antibody-associated disease: CHANCE(NMO) study

OBJECTIVE: To evaluate costs and health-related quality of life (HRQoL) of neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein-antibody associated disease (MOGAD).MethodsIn this multicenter cross-sectional study, data on consumption of medical and non-medical resources and work ability were assessed via patient questionnaires. Costs were analyzed in EUR for 2018 from the societal perspective. HRQoL was captured by the EuroQoL EQ-5D-5L questionnaire. Clinical data were retrieved from the Neuromyelitis Optica Study Group (NEMOS) database. RESULTS: Two hundred twelve patients (80% women; median age 50 [19-83] years; median disease duration 7 [0-43] years; median Expanded Disability Status Scale [EDSS] 3.5 [0-8.5]; 66% Aquaporin-4 IgG, 22% MOG IgG positive, 12% double seronegative) were analyzed. The mean total annual per capita cost of illness accounted for EUR (Euro) 59 574 (95% CI 51 225 to 68 293; USD [United States dollars] 70 297, 95% CI 60 445 to 80 586), and the mean index value of the EQ-5D-5L was 0.693 (95% CI 0.65 to 0.73). The most important cost drivers were informal care costs (28% of total costs), indirect costs (23%) and drugs (16%), especially immunotherapeutics. Costs showed a positive correlation with disease severity (ρ=0.56, 95% CI 0.45 to 0.65); in the EDSS 6.5-8.5 subgroup the mean annual costs were EUR 129 687 (95% CI 101 946 to 160 336; USD 153 031, 95% CI 120 296 to 189 196). The HRQoL revealed a negative correlation to disease severity (ρ=-0.69, 95% CI -0.76 to -0.61); in the EDSS 6.5-8.5 subgroup the EQ-5D-5L mean index value was 0.195 (95% CI 0.13 to 0.28). Neither antibody status nor disease duration influenced the total annual costs or HRQoL. CONCLUSION: These German data from the era without approved preventive immunotherapies show enormous effects of the diseases on costs and quality of life. An early and cost-effective therapy should be provided to prevent long-term disability and preserve quality of life

Genetic algorithm in ab initio protein structure prediction using low resolution model : a review

Proteins are sequences of amino acids bound into a linear chain that adopt a specific folded three-dimensional (3D) shape. This specific folded shape enables proteins to perform specific tasks. The protein structure prediction (PSP) by ab initio or de novo approach is promising amongst various available computational methods and can help to unravel the important relationship between sequence and its corresponding structure. This article presents the ab initio protein structure prediction as a conformational search problem in low resolution model using genetic algorithm. As a review, the essence of twin removal, intelligence in coding, the development and application of domain specific heuristics garnered from the properties of the resulting model and the protein core formation concept discussed are all highly relevant in attempting to secure the best solution

Interplay of Performance Limiting Nanoscale Features in Cu2ZnSn S,Se 4 Solar Cells

Highly performing kesterite-based Cu2ZnSn(S,Se)(4)(CZTSSe) thin-film solar cells are typically produced under Cu-poor and Zn-rich synthesis conditions. However, these processing routes also facilitate the formation of secondary phases as well as deviations from stoichiometry, causing intrinsic point defects. Herein, the local composition of CZTSSe absorbers prepared with different nominal cation concentrations is investigated by applying energy dispersive X-ray spectroscopy and synchrotron X-ray fluorescence spectroscopy at the nanoscale to cross-sectional lamellae. The findings confirm the formation of ZnS(Se) secondary phases, whose presence, number, and dimension strongly increase with the reduction of the nominal Cu and increment of the nominal Zn content. Furthermore, the local compositions of the CZTSSe phase within the absorber reveal strong variations, leading to collateral and multiple off-stoichiometry types of the kesterite phase in the absorber, which cause different intrinsic point defects. Therefore, the off-stoichiometry type determined from the integral composition does not represent the complete true picture of this complex material system. Accordingly, the correlation of integral composition with electrical properties or conversion efficiency may be misleading. Overall, the approach provides new experimental insights into the nanoscale relationship among local compositional fluctuations, off-stoichiometry types, and secondary phases in these promising photovoltaic materials

Generation of Fluorogen-Activating Designed Ankyrin Repeat Proteins (FADAs) as Versatile Sensor Tools

Fluorescent probes constitute a valuable toolbox to address a variety of biological questions and they have become irreplaceable for imaging methods. Commonly, such probes consist of fluorescent proteins or small organic fluorophores coupled to biological molecules of interest. Recently, a novel class of fluorescence-based probes, fluorogen-activating proteins (FAPs), has been reported. These binding proteins are based on antibody single-chain variable fragments and activate fluorogenic dyes, which only become fluorescent upon activation and do not fluoresce when free in solution. Here we present a novel class of fluorogen activators, termed FADAs, based on the very robust designed ankyrin repeat protein scaffold, which also readily folds in the reducing environment of the cytoplasm. The FADA generated in this study was obtained by combined selections with ribosome display and yeast surface display. It enhances the fluorescence of malachite green (MG) dyes by a factor of more than 11,000 and thus activates MG to a similar extent as FAPs based on single-chain variable fragments. As shown by structure determination and in vitro measurements, this FADA was evolved to form a homodimer for the activation of MG dyes. Exploiting the favorable properties of the designed ankyrin repeat protein scaffold, we created a FADA biosensor suitable for imaging of proteins on the cell surface, as well as in the cytosol. Moreover, based on the requirement of dimerization for strong fluorogen activation, a prototype FADA biosensor for in situ detection of a target protein and protein-protein interactions was developed. Therefore, FADAs are versatile fluorescent probes that are easily produced and suitable for diverse applications and thus extend the FAP technology