Showing papers by "University of Crete published in 2014"
University of Washington1, Sapienza University of Rome2, Mekelle University3, University of Texas at San Antonio4, King Saud bin Abdulaziz University for Health Sciences5, Debre markos University6, Emory University7, University of Oxford8, University of Cartagena9, United Nations Population Fund10, University of Birmingham11, Stanford University12, Aga Khan University13, University of Melbourne14, National Taiwan University15, University of Cambridge16, University of California, San Diego17, Public Health Foundation of India18, Public Health England19, University of Peradeniya20, Harvard University21, National Institutes of Health22, Tehran University of Medical Sciences23, Auckland University of Technology24, University of Sheffield25, University of Western Australia26, Karolinska Institutet27, Birzeit University28, Brandeis University29, American Cancer Society30, Ochsner Medical Center31, Yonsei University32, University of Bristol33, Heidelberg University34, Vanderbilt University35, South African Medical Research Council36, Jordan University of Science and Technology37, New Generation University College38, Northeastern University39, Simmons College40, Norwegian Institute of Public Health41, Boston University42, Chinese Center for Disease Control and Prevention43, University of Bari44, University of São Paulo45, University of Otago46, University of Crete47, International Centre for Diarrhoeal Disease Research, Bangladesh48, Fred Hutchinson Cancer Research Center49, Teikyo University50, Bhabha Atomic Research Centre51, University of Tokyo52, Finnish Institute of Occupational Health53, Heriot-Watt University54, University of Alabama at Birmingham55, Griffith University56, National Center for Disease Control and Public Health57, University of California, Irvine58, Johns Hopkins University59, New York University60, University of Queensland61, Universidade Federal de Minas Gerais62, National Research University – Higher School of Economics63, University of Bergen64, Columbia University65, Shandong University66, University of North Carolina at Chapel Hill67, Fujita Health University68, Korea University69, Chongqing Medical University70, Zhejiang University71
TL;DR: The global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013 is estimated using a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs).
9,180 citations
Nicholas J Kassebaum1, Amelia Bertozzi-Villa1, Megan Coggeshall1, Katya Anne Shackelford1 +349 more•Institutions (179)
TL;DR: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015, with evidence of continued acceleration in the MMR, and MMR was highest in the oldest age groups in both 1990 and 2013.
1,383 citations
Christopher J L Murray1, Katrina F Ortblad1, Caterina Guinovart1, Stephen S Lim1 +367 more•Institutions (179)
TL;DR: The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occured since the Millennium Declaration.
875 citations
15 Sep 2014
TL;DR: In this paper, the dispersion behavior of graphene oxide and chemically reduced graphene oxide (rGO) has been investigated in a wide range of organic solvents, taking into consideration the solvent polarity, the surface tension and the Hansen and Hildebrand solubility parameters.
Abstract: The dispersion behaviour of graphene oxide (GO) and chemically reduced GO (rGO) has been investigated in a wide range of organic solvents. The effect of the reduction process on the GO solubility in eighteen different solvents was examined and analysed, taking into consideration the solvent polarity, the surface tension and the Hansen and Hildebrand solubility parameters. rGO concentrations up to ∼9 μg/mL in chlorinated solvents were achieved, demonstrating an efficient solubilization strategy, extending the scope for scalable liquid-phase processing of conductive rGO inks for the development of printed flexible electronics.
728 citations
Haidong Wang1, Chelsea A. Liddell1, Matthew M Coates1, Meghan D. Mooney1 +228 more•Institutions (123)
TL;DR: Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa, and rising income per person and maternal education and changes in secular trends led to 4·2 million fewer deaths.
684 citations
Institut Gustave Roussy1, University of São Paulo2, Katholieke Universiteit Leuven3, University of Burgundy4, Sapienza University of Rome5, Istituto Superiore di Sanità6, Vrije Universiteit Brussel7, University of Manchester8, University of Michigan9, National University of Cuyo10, Pierre-and-Marie-Curie University11, New York University12, University of Salento13, University of Crete14, Charles University in Prague15, University of Erlangen-Nuremberg16, University Hospital Heidelberg17, University of Pittsburgh18, University of Helsinki19, National Institutes of Health20, University of Bonn21, Providence Portland Medical Center22, National University of Singapore23, Ghent University24, University of Milan25, University of Graz26, University of Paris-Sud27, University College London28, Tuscia University29, McMaster University30, Technische Universität München31, Medical University of Vienna32, Karolinska Institutet33, University of Nice Sophia Antipolis34, University of Turin35, QIMR Berghofer Medical Research Institute36, Université de Montréal37, Dow University of Health Sciences38, French Institute of Health and Medical Research39, University of Colorado Denver40, University of Hawaii41, Stony Brook University42, Paris Descartes University43
TL;DR: Strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative I CD inducers are outlined, based on a high-content, high-throughput platform that was recently developed.
Abstract: Apoptotic cells have long been considered as intrinsically tolerogenic or unable to elicit immune responses specific for dead cell-associated antigens. However, multiple stimuli can trigger a functionally peculiar type of apoptotic demise that does not go unnoticed by the adaptive arm of the immune system, which we named "immunogenic cell death" (ICD). ICD is preceded or accompanied by the emission of a series of immunostimulatory damage-associated molecular patterns (DAMPs) in a precise spatiotemporal configuration. Several anticancer agents that have been successfully employed in the clinic for decades, including various chemotherapeutics and radiotherapy, can elicit ICD. Moreover, defects in the components that underlie the capacity of the immune system to perceive cell death as immunogenic negatively influence disease outcome among cancer patients treated with ICD inducers. Thus, ICD has profound clinical and therapeutic implications. Unfortunately, the gold-standard approach to detect ICD relies on vaccination experiments involving immunocompetent murine models and syngeneic cancer cells, an approach that is incompatible with large screening campaigns. Here, we outline strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative ICD inducers, based on a high-content, high-throughput platform that we recently developed. Such a platform allows for the detection of multiple DAMPs, like cell surface-exposed calreticulin, extracellular ATP and high mobility group box 1 (HMGB1), and/or the processes that underlie their emission, such as endoplasmic reticulum stress, autophagy and necrotic plasma membrane permeabilization. We surmise that this technology will facilitate the development of next-generation anticancer regimens, which kill malignant cells and simultaneously convert them into a cancer-specific therapeutic vaccine.
665 citations
Karolinska Institutet1, University of Pisa2, University of Crete3, University College London4, University of Münster5, Dresden University of Technology6, University of Groningen7, University of Manchester8, McGill University9, University of Pécs10, University Medical Center Utrecht11, Charité12, University of Birmingham13, Medical University of Graz14, Université catholique de Louvain15, Istanbul University16, Copenhagen University Hospital17, Rio de Janeiro State University18, University of Paris-Sud19, University of Santo Tomas Hospital20, Medical University of Vienna21, VU University Amsterdam22, Odense University Hospital23, Moscow State University24, Hairmyres Hospital25, University of Düsseldorf26
TL;DR: Treating-to-target-in-SLE (T2T/SLE) recommendations were developed by a large task force of multispecialty experts and a patient representative and it is anticipated that ‘treating- to-target’ can and will be applicable to the care of patients with SLE.
Abstract: The principle of treating-to-target has been successfully applied to many diseases outside rheumatology and more recently to rheumatoid arthritis. Identifying appropriate therapeutic targets and pursuing these systematically has led to improved care for patients with these diseases and useful guidance for healthcare providers and administrators. Thus, an initiative to evaluate possible therapeutic targets and develop treat-to-target guidance was believed to be highly appropriate in the management of systemic lupus erythematosus (SLE) patients as well. Specialists in rheumatology, nephrology, dermatology, internal medicine and clinical immunology, and a patient representative, contributed to this initiative. The majority convened on three occasions in 2012-2013. Twelve topics of critical importance were identified and a systematic literature review was performed. The results were condensed and reformulated as recommendations, discussed, modified and voted upon. The finalised bullet points were analysed for degree of agreement among the task force. The Oxford Centre level of evidence (LoE, corresponding to the research questions) and grade of recommendation (GoR) were determined for each recommendation. The 12 systematic literature searches and their summaries led to 11 recommendations. Prominent features of these recommendations are targeting remission, preventing damage and improving quality of life. LoE and GoR of the recommendations were variable but agreement was >0.9 in each case. An extensive research agenda was identified, and four overarching principles were also agreed upon. Treat-to-target-in-SLE (T2T/SLE) recommendations were developed by a large task force of multispecialty experts and a patient representative. It is anticipated that 'treating-to-target' can and will be applicable to the care of patients with SLE.
521 citations
04 May 2014
TL;DR: An overview of the current offerings of COVAREP is provided and a demonstration of the algorithms through an emotion classification experiment is included, to allow more reproducible research by strengthening complex implementations through shared contributions and openly available code.
Abstract: Speech processing algorithms are often developed demonstrating improvements over the state-of-the-art, but sometimes at the cost of high complexity. This makes algorithm reimplementations based on literature difficult, and thus reliable comparisons between published results and current work are hard to achieve. This paper presents a new collaborative and freely available repository for speech processing algorithms called COVAREP, which aims at fast and easy access to new speech processing algorithms and thus facilitating research in the field. We envisage that COVAREP will allow more reproducible research by strengthening complex implementations through shared contributions and openly available code which can be discussed, commented on and corrected by the community. Presently COVAREP contains contributions from five distinct laboratories and we encourage contributions from across the speech processing research field. In this paper, we provide an overview of the current offerings of COVAREP and also include a demonstration of the algorithms through an emotion classification experiment.
503 citations
TL;DR: A bottom-up solution synthesis of long (>200 nm) liquid-phase-processable GNRs with a well-defined structure and a large optical bandgap is reported, which may prove useful for fundamental studies of graphene nanostructures, as well as the development of GNR-based nanoelectronics.
Abstract: Liquid-phase-processable graphene nanoribbons (GNRs) over 200 nm long and with well-defined structures have now been synthesized by a bottom-up method, and are found to have a large optical bandgap of 1.88 eV. Scanning probe microscopy revealed highly ordered self-assembled monolayers of the GNRs, and the high intrinsic charge-carrier mobility of individual ribbons was characterized by terahertz spectroscopy.
434 citations
Goddard Institute for Space Studies1, Columbia University2, Foundation for Research & Technology – Hellas3, University of Crete4, Carnegie Mellon University5, University of São Paulo6, University of California, San Diego7, University of Reading8, Met Office9, European Centre for Medium-Range Weather Forecasts10, Finnish Meteorological Institute11, University of Oslo12, North-West University13, University of Maryland, College Park14, University of Leeds15, Goddard Space Flight Center16, University of L'Aquila17, Universities Space Research Association18, Pacific Northwest National Laboratory19, Meteorological Service of Canada20, National Center for Atmospheric Research21, Paul Scherrer Institute22, Swiss Federal Institute for Forest, Snow and Landscape Research23, Norwegian Meteorological Institute24, University of Colorado Boulder25, Max Planck Society26, University of Michigan27, University of Wyoming28, State University of New York System29, Environment Canada30, Belgian Institute for Space Aeronomy31, Georgia Institute of Technology32, Istanbul Technical University33, Duke University34, Kyushu University35, University of Eastern Finland36, University of Mainz37, Royal Netherlands Meteorological Institute38, China Meteorological Administration39, University of California, Davis40
TL;DR: In this article, the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations.
Abstract: . This paper evaluates the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations. Thirty-one global chemistry transport models (CTMs) and general circulation models (GCMs) have participated in this intercomparison, in the framework of AeroCom phase II. The simulation of OA varies greatly between models in terms of the magnitude of primary emissions, secondary OA (SOA) formation, the number of OA species used (2 to 62), the complexity of OA parameterizations (gas-particle partitioning, chemical aging, multiphase chemistry, aerosol microphysics), and the OA physical, chemical and optical properties. The diversity of the global OA simulation results has increased since earlier AeroCom experiments, mainly due to the increasing complexity of the SOA parameterization in models, and the implementation of new, highly uncertain, OA sources. Diversity of over one order of magnitude exists in the modeled vertical distribution of OA concentrations that deserves a dedicated future study. Furthermore, although the OA / OC ratio depends on OA sources and atmospheric processing, and is important for model evaluation against OA and OC observations, it is resolved only by a few global models. The median global primary OA (POA) source strength is 56 Tg a−1 (range 34–144 Tg a−1) and the median SOA source strength (natural and anthropogenic) is 19 Tg a−1 (range 13–121 Tg a−1). Among the models that take into account the semi-volatile SOA nature, the median source is calculated to be 51 Tg a−1 (range 16–121 Tg a−1), much larger than the median value of the models that calculate SOA in a more simplistic way (19 Tg a−1; range 13–20 Tg a−1, with one model at 37 Tg a−1). The median atmospheric burden of OA is 1.4 Tg (24 models in the range of 0.6–2.0 Tg and 4 between 2.0 and 3.8 Tg), with a median OA lifetime of 5.4 days (range 3.8–9.6 days). In models that reported both OA and sulfate burdens, the median value of the OA/sulfate burden ratio is calculated to be 0.77; 13 models calculate a ratio lower than 1, and 9 models higher than 1. For 26 models that reported OA deposition fluxes, the median wet removal is 70 Tg a−1 (range 28–209 Tg a−1), which is on average 85% of the total OA deposition. Fine aerosol organic carbon (OC) and OA observations from continuous monitoring networks and individual field campaigns have been used for model evaluation. At urban locations, the model–observation comparison indicates missing knowledge on anthropogenic OA sources, both strength and seasonality. The combined model–measurements analysis suggests the existence of increased OA levels during summer due to biogenic SOA formation over large areas of the USA that can be of the same order of magnitude as the POA, even at urban locations, and contribute to the measured urban seasonal pattern. Global models are able to simulate the high secondary character of OA observed in the atmosphere as a result of SOA formation and POA aging, although the amount of OA present in the atmosphere remains largely underestimated, with a mean normalized bias (MNB) equal to −0.62 (−0.51) based on the comparison against OC (OA) urban data of all models at the surface, −0.15 (+0.51) when compared with remote measurements, and −0.30 for marine locations with OC data. The mean temporal correlations across all stations are low when compared with OC (OA) measurements: 0.47 (0.52) for urban stations, 0.39 (0.37) for remote stations, and 0.25 for marine stations with OC data. The combination of high (negative) MNB and higher correlation at urban stations when compared with the low MNB and lower correlation at remote sites suggests that knowledge about the processes that govern aerosol processing, transport and removal, on top of their sources, is important at the remote stations. There is no clear change in model skill with increasing model complexity with regard to OC or OA mass concentration. However, the complexity is needed in models in order to distinguish between anthropogenic and natural OA as needed for climate mitigation, and to calculate the impact of OA on climate accurately.
355 citations
TL;DR: This work uses strong coupling in an optical microcavity to mix the electronic transitions of two J-aggregated molecular dyes and uses both non-resonant photoluminescence emission and photolumsinescence excitation spectroscopy to show that hybrid-polariton states act as an efficient and ultrafast energy-transfer pathway between the two exciton states.
Abstract: Strongly coupled optical microcavities containing different exciton states permit the creation of hybrid-polariton modes that can be described in terms of a linear admixture of cavity-photon and the constituent excitons. Such hybrid states have been predicted to have optical properties that are different from their constituent parts, making them a test bed for the exploration of light-matter coupling. Here, we use strong coupling in an optical microcavity to mix the electronic transitions of two J-aggregated molecular dyes and use both non-resonant photoluminescence emission and photoluminescence excitation spectroscopy to show that hybrid-polariton states act as an efficient and ultrafast energy-transfer pathway between the two exciton states. We argue that this type of structure may act as a model system to study energy-transfer processes in biological light-harvesting complexes.
TL;DR: The role of pesticides as environmental risk factors in genesis of idiopathic PD and other neurological syndromes is clarified and the most relevant epidemiological and experimental data is highlighted in order to discuss the molecular mechanisms involved in neurodegeneration.
TL;DR: In this article, the role of information transmission in promoting agricultural technology adoption and diffusion through extension services and social learning is investigated, and a theoretical model is developed, which is then empirically applied, using duration analysis, on a micro-dataset consisting of recall data covering the period 1994-2004 for olive-producing farms from Crete, Greece.
Abstract: In this article, we investigate the role of information transmission in promoting agricultural technology adoption and diffusion through extension services and social learning. We develop a theoretical model of technology adoption and diffusion, which we then empirically apply, using duration analysis, on a micro-dataset consisting of recall data covering the period 1994-2004 for olive-producing farms from Crete, Greece. Our findings suggest that both extension services and social learning are strong determinants of technology adoption and diffusion, while the effectiveness of each of the two informational channels is enhanced by the presence of the other.
TL;DR: HELIX is one of the first attempts to describe the early-life exposome of European populations and unravel its relation to omics markers and health in childhood, and will form an important first step toward the life-course exposomes.
Abstract: Background: Developmental periods in early life may be particularly vulnerable to impacts of environmental exposures. Human research on this topic has generally focused on single exposure–health effect relationships. The “exposome” concept encompasses the totality of exposures from conception onward, complementing the genome. Objectives: The Human Early-Life Exposome (HELIX) project is a new collaborative research project that aims to implement novel exposure assessment and biomarker methods to characterize early-life exposure to multiple environmental factors and associate these with omics biomarkers and child health outcomes, thus characterizing the “early-life exposome.” Here we describe the general design of the project. Methods: In six existing birth cohort studies in Europe, HELIX will estimate prenatal and postnatal exposure to a broad range of chemical and physical exposures. Exposure models will be developed for the full cohorts totaling 32,000 mother–child pairs, and biomarkers will be measured in a subset of 1,200 mother–child pairs. Nested repeat-sampling panel studies (n = 150) will collect data on biomarker variability, use smartphones to assess mobility and physical activity, and perform personal exposure monitoring. Omics techniques will determine molecular profiles (metabolome, proteome, transcriptome, epigenome) associated with exposures. Statistical methods for multiple exposures will provide exposure–response estimates for fetal and child growth, obesity, neurodevelopment, and respiratory outcomes. A health impact assessment exercise will evaluate risks and benefits of combined exposures. Conclusions: HELIX is one of the first attempts to describe the early-life exposome of European populations and unravel its relation to omics markers and health in childhood. As proof of concept, it will form an important first step toward the life-course exposome.
TL;DR: Inflammation in CGD is due to IL-1–dependent mechanisms, such as decreased autophagy and increased inflammasome activation, which are linked pathological conditions inCGD that can be restored byIL-1 receptor blockade.
Abstract: Chronic granulomatous disease (CGD) has an immunodeficiency component and, in addition, an autoinflammatory component in which autophagy and inflammasome activation are linked and amenable to IL-1 blockade. This study provides a rationale to perform clinical trials to investigate the efficacy of blocking IL-1 in CGD colitis and expands the therapeutic potential of IL-1 antagonists to inflammatory diseases with defective autophagy.
Erasmus University Rotterdam1, Pierre-and-Marie-Curie University2, St Mary's Hospital3, University of Porto4, University of Copenhagen5, Copenhagen University Hospital6, University of Crete7, University Medical Center Groningen8, University of Aberdeen9, University of Bern10, Academy of Sciences of the Czech Republic11, Linköping University12, Norwegian Institute of Public Health13, Utrecht University14, University of Bologna15, Boston Children's Hospital16, Nofer Institute of Occupational Medicine17, University of Bristol18, French Institute of Health and Medical Research19, University of Valencia20, Southampton General Hospital21, University of Würzburg22, University College Dublin23, Slovak Medical University24, Charité25, Maastricht University26, University of Southampton27, Cancer Epidemiology Unit28, Pompeu Fabra University29
TL;DR: In this article, the authors performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years).
Abstract: BACKGROUND: Preterm birth, low birth weight, and infant catch-up growth seem associated with an increased risk of respiratory diseases in later life, but individual studies showed conflicting results. OBJECTIVES: We performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years). METHODS: First, we performed an adjusted 1-stage random-effect meta-analysis to assess the combined associations of gestational age, birth weight, and infant weight gain with childhood asthma. Second, we performed an adjusted 2-stage random-effect meta-analysis to assess the associations of preterm birth (gestational age <37 weeks) and low birth weight (<2500 g) with childhood asthma outcomes. RESULTS: Younger gestational age at birth and higher infant weight gain were independently associated with higher risks of preschool wheezing and school-age asthma (P < .05). The inverse associations of birth weight with childhood asthma were explained by gestational age at birth. Compared with term-born children with normal infant weight gain, we observed the highest risks of school-age asthma in children born preterm with high infant weight gain (odds ratio [OR], 4.47; 95% CI, 2.58-7.76). Preterm birth was positively associated with an increased risk of preschool wheezing (pooled odds ratio [pOR], 1.34; 95% CI, 1.25-1.43) and school-age asthma (pOR, 1.40; 95% CI, 1.18-1.67) independent of birth weight. Weaker effect estimates were observed for the associations of low birth weight adjusted for gestational age at birth with preschool wheezing (pOR, 1.10; 95% CI, 1.00-1.21) and school-age asthma (pOR, 1.13; 95% CI, 1.01-1.27). CONCLUSION: Younger gestational age at birth and higher infant weight gain were associated with childhood asthma outcomes. The associations of lower birth weight with childhood asthma were largely explained by gestational age at birth.
TL;DR: The structural data reveal a multivalent binding mechanism between the chaperone and its protein substrate that enables chaperones to function as holdases and unfoldases by exerting forces to retain proteins in the unfolded state and at the same time protect them from aggregation by shielding their exposed hydrophobic regions.
Abstract: Introduction Molecular chaperones prevent aggregation and misfolding of proteins in the cellular environment and are thus central to maintaining protein homeostasis. Molecular chaperones are thought to recognize and bind to exposed hydrophobic regions of the unfolded proteins, thereby shielding these regions from the solvent. If unprotected, the proteins would likely aggregate or misfold to bury the hydrophobic residues. Despite the central importance of the binding of chaperones to unfolded proteins, the structural basis of their interaction remains poorly understood. The scarcity of structural data on complexes between chaperones and unfolded proteins is primarily due to technical challenges originating in the size and dynamic nature of these complexes. Structural basis of PhoA binding by TF. PhoA (blue/gray) is captured in an unfolded state by three TF chaperone molecules (orange). Complex formation is mediated by multivalent binding of hydrophobic surfaces, which are shielded from water, thereby preventing folding and, at the same time, aggregation of the substrate protein.Structural basis of PhoA binding by TF. PhoA (blue/gray) is captured in an unfolded state by three TF chaperone molecules (orange). Complex formation is mediated by multivalent binding of hydrophobic surfaces, which are shielded from water, thereby preventing folding and, at the same time, aggregation of the substrate protein. Rationale Recent advances in nuclear magnetic resonance (NMR) and isotope labeling approaches make it possible to study large, dynamic complexes. We used NMR spectroscopy to characterize the binding of the 48-kD unfolded alkaline phosphatase (PhoA) to the 50-kD trigger factor (TF) chaperone. We obtained atomic insight into the dynamic binding and determined the solution structure of PhoA captured in an extended, unfolded state by three TF molecules. Based on our NMR studies, we gained insight into how TF rescues an aggregation-prone protein and how it exerts its unfoldase activity. Results We show that TF uses multiple sites, which are located in two different domains and extend over a distance of ~90 A, to bind to several regions of the unfolded PhoA that are dispersed throughout its entire length. Three TF molecules are required to interact with the entire length of PhoA, giving rise to a ~200-kD complex in solution. The TF-PhoA interactions are mediated primarily by hydrophobic contacts. TF interacts with PhoA in a highly dynamic fashion, giving rise to a rugged landscape for the free energy of interaction. As the number and length of the PhoA regions engaged by TF increases, a more stable complex gradually emerges. The multivalent binding keeps PhoA in an extended, unfolded conformation. Crucially, even the lowest-energy TF-PhoA complex remains rather dynamic with a lifetime of ~20 ms. The structural data of the three TF molecules in complex with different regions of PhoA reveal how the same binding sites within a molecular chaperone can recognize and interact with a large number of substrates with unrelated primary sequences. This promiscuous recognition is further enabled by the notable plasticity of the substrate-binding sites in TF. We finally show that TF in the cytosol prevents aggregation by interacting transiently with the low-populated, aggregation-prone unfolded state of the substrate but acts as a powerful unfoldase when it is bound at the ribosome and thus is colocalized with translating substrate. Conclusion The structural data reveal a multivalent binding mechanism between the chaperone and its protein substrate. This mechanism of binding presents several advantages as it enables chaperones to function as holdases and unfoldases by exerting forces to retain proteins in the unfolded state and at the same time protect them from aggregation by shielding their exposed hydrophobic regions. Given the existence of multiple binding sites in other molecular chaperones, this may present a general mechanism for the action of molecular chaperones. The fast kinetics of substrate binding enables chaperones to interact with transiently exposed, aggregation-prone regions of unstable proteins in the cytosol, thereby preventing their aggregation and increasing their solubility.
TL;DR: In this paper, mesoporous titania-supported gold nanoparticle assemblies (Au/MTA) catalyze the activation of NaBH4 and 1,1,3,3-tetramethyl disiloxane (TMDS) compounds, which act as transfer hydrogenation agents for the reduction of nitroarenes to the corresponding amines in moderate to high yields.
Abstract: Herein, we show that mesoporous titania-supported gold nanoparticle assemblies (Au/MTA) catalyze the activation of NaBH4 and 1,1,3,3-tetramethyl disiloxane (TMDS) compounds, which act as transfer hydrogenation agents for the reduction of nitroarenes to the corresponding anilines in moderate to high yields. On the other hand, nitroalkanes are reduced to the corresponding diazo and hydrazo compounds under the studied conditions. The substantial measured primary kinetic isotope effects found here suggested that B–H bond cleavage occurs in a rate-determining step and [Au]–H active hybrids are formed, which are responsible for the reduction of nitroarenes to the corresponding amines. Formal Hammett-type kinetic analysis of a range of para-X-substituted nitroarenes lends support to this hypothesis. Nitro compounds substituted with electron-withdrawing groups were reduced faster than the corresponding compounds with electron-donating groups. The presence of water enhanced the catalytic activity of Au/MTA in apro...
TL;DR: In this paper, neutrophil tissue factor (TF) was found to be implicated in the thrombotic diathesis in AAV, and TF expression was assessed by immunoblotting and confocal microscopy.
Abstract: Objectives Antineutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV) is characterised by neutrophil activation. An elevated prevalence of venous thromboembolic events has been reported in AAV. Because of the critical role of neutrophils in inflammation associated thrombosis, we asked whether neutrophil tissue factor (TF) may be implicated in the thrombotic diathesis in AAV. Methods Neutrophils from four patients and sera from 17 patients with ANCA associated vasculitis with active disease and remission were studied. TF expression was assessed by immunoblotting and confocal microscopy. Circulating DNA levels were evaluated. TF expressing microparticles (MPs) were measured by flow cytometry and thrombin–antithrombin complex levels by ELISA. Results Peripheral blood neutrophils from four patients with active disease expressed elevated TF levels and released TF expressing neutrophil extracellular traps (NETs) and MPs. TF positive NETs were released by neutrophils isolated from the bronchoalveolar lavage and were detected in nasal and renal biopsy specimens. Elevated levels of circulating DNA and TF expressing neutrophil derived MPs were further observed in sera from patients with active disease. Induction of remission attenuated the aforementioned effects. Control neutrophils treated with sera from patients with active disease released TF bearing NETs and MPs which were abolished after IgG depletion. Treatment of control neutrophils with isolated IgG from sera from patients with active disease also resulted in the release of TF bearing NETs. TF implication in MP dependent thrombin generation was demonstrated by antibody neutralisation studies. Conclusions Expression of TF in NETs and neutrophil derived MPs proposes a novel mechanism for the induction of thrombosis and inflammation in active AAV.
TL;DR: In this article, the key structural and rheological parameters which determine the tunable rheology of dense soft deformable colloids are discussed, restricted to noncrystallizing suspensions of spherical particles without electrostatic or enthalpic interactions.
Abstract: In the last two decades, advances in synthetic, experimental and modeling/simulation methodologies have considerably enhanced our understanding of colloidal suspension rheology and put the field at the forefront of soft matter research. Recent accomplishments include the ability to tailor the flow of colloidal materials via controlled changes of particle microstructure and interactions. Whereas hard sphere suspensions have been the most widely studied colloidal system, there is no richer type of particles than soft colloids in this respect. Yet, despite the remarkable progress in the field, many outstanding challenges remain in our quest to link particle microstructure to macroscopic properties and eventually design appropriate soft composites. Addressing them will provide the route towards novel responsive systems with hierarchical structures and multiple functionalities. Here we discuss the key structural and rheological parameters which determine the tunable rheology of dense soft deformable colloids. We restrict our discussion to non-crystallizing suspensions of spherical particles without electrostatic or enthalpic interactions.
TL;DR: Effect of pesticides on sperm quality is undeniable, well-designed long-term studies are needed to elucidate all the possible affecting variables such as socioeconomic, cultural, nutritional, occupational, physical, and clinical characteristics alongside pesticides.
TL;DR: The synthesis, structural characterization, and functionality (framework interconversions together with proton conductivity) of an open-framework hybrid that combines Ca(2+) ions and the rigid polyfunctional ligand 5-(dihydroxyphosphoryl)isophthalic acid (PiPhtA) is reported, highlighting the importance of internal H-bonding networks that determine conductivity properties of hybrid materials.
Abstract: We report the synthesis, structural characterization, and functionality (framework interconversions together with proton conductivity) of an open-framework hybrid that combines Ca2+ ions and the rigid polyfunctional ligand 5-(dihydroxyphosphoryl)isophthalic acid (PiPhtA). Ca2[(HO3PC6H3COOH)2]2[(HO3PC6H3(COO)2H)(H2O)2]·5H2O (Ca-PiPhtA-I) is obtained by slow crystallization at ambient conditions from acidic (pH ≈ 3) aqueous solutions. It possesses a high water content (both Ca coordinated and in the lattice), and importantly, it exhibits water-filled 1D channels. At 75 °C, Ca-PiPhtA-I is partially dehydrated and exhibits a crystalline diffraction pattern that can be indexed in a monoclinic cell with parameters close to the pristine phase. Rietveld refinement was carried out for the sample heated at 75 °C, Ca-PiPhtA-II, using synchrotron powder X-ray diffraction data, which revealed the molecular formula Ca2[(HO3PC6H3COOH)2]2[(HO3PC6H3(COO)2H)(H2O)2]. All connectivity modes of the “parent” Ca-PiPhtA-I framew...
The Feinstein Institute for Medical Research1, Yale University2, University of Edinburgh3, Oslo University Hospital4, University of Oslo5, Haukeland University Hospital6, University of Bergen7, University of Helsinki8, Wellcome Trust Sanger Institute9, Helsinki University Central Hospital10, Martin Luther University of Halle-Wittenberg11, Fujita Health University12, Icahn School of Medicine at Mount Sinai13, University of Crete14, University of Manchester15, Trinity College, Dublin16, Hebrew University of Jerusalem17, University of Colorado Boulder18
TL;DR: Results provide molecular confirmation of the genetic overlap between SCZ and general cognitive ability, and may provide additional insight into pathophysiology of the disorder.
Abstract: It has long been recognized that generalized deficits in cognitive ability represent a core component of schizophrenia (SCZ), evident before full illness onset and independent of medication. The possibility of genetic overlap between risk for SCZ and cognitive phenotypes has been suggested by the presence of cognitive deficits in first-degree relatives of patients with SCZ; however, until recently, molecular genetic approaches to test this overlap have been lacking. Within the last few years, large-scale genome-wide association studies (GWAS) of SCZ have demonstrated that a substantial proportion of the heritability of the disorder is explained by a polygenic component consisting of many common single-nucleotide polymorphisms (SNPs) of extremely small effect. Similar results have been reported in GWAS of general cognitive ability. The primary aim of the present study is to provide the first molecular genetic test of the classic endophenotype hypothesis, which states that alleles associated with reduced cognitive ability should also serve to increase risk for SCZ. We tested the endophenotype hypothesis by applying polygenic SNP scores derived from a large-scale cognitive GWAS meta-analysis (~5000 individuals from nine nonclinical cohorts comprising the Cognitive Genomics consorTium (COGENT)) to four SCZ case-control cohorts. As predicted, cases had significantly lower cognitive polygenic scores compared to controls. In parallel, polygenic risk scores for SCZ were associated with lower general cognitive ability. In addition, using our large cognitive meta-analytic data set, we identified nominally significant cognitive associations for several SNPs that have previously been robustly associated with SCZ susceptibility. Results provide molecular confirmation of the genetic overlap between SCZ and general cognitive ability, and may provide additional insight into pathophysiology of the disorder.
TL;DR: It is concluded that structural equation modeling is a viable methodology to model complex regional interdependencies in brain activation in pediatric populations.
Abstract: The present study assessed the impact of sample size on the power and fit of structural equation modeling applied to functional brain connectivity hypotheses. The data consisted of time-constrained minimum norm estimates of regional brain activity during performance of a reading task obtained with magnetoencephalography. Power analysis was first conducted for an autoregressive model with 5 latent variables (brain regions), each defined by 3 indicators (successive activity time bins). A series of simulations were then run by generating data from an existing pool of 51 typical readers (aged 7.5-12.5 years). Sample sizes ranged between 20 and 1,000 participants and for each sample size 1,000 replications were run. Results were evaluated using chi-square Type I errors, model convergence, mean RMSEA (root mean square error of approximation) values, confidence intervals of the RMSEA, structural path stability, and D-Fit index values. Results suggested that 70 to 80 participants were adequate to model relationships reflecting close to not so close fit as per MacCallum et al.'s recommendations. Sample sizes of 50 participants were associated with satisfactory fit. It is concluded that structural equation modeling is a viable methodology to model complex regional interdependencies in brain activation in pediatric populations.
TL;DR: Evidence is compiled that suggests that mitochondrial–nuclear (mitonuclear) allelic interactions are evolutionarily significant modulators of the expression of key health-related and life-history phenotypes, across several biological scales—within species (intra- and interpopulational) and between species.
Abstract: Fundamental biological processes hinge on coordinated interactions between genes spanning two obligate genomes—mitochondrial and nuclear. These interactions are key to complex life, and allelic variation that accumulates and persists at the loci embroiled in such intergenomic interactions should therefore be subjected to intense selection to maintain integrity of the mitochondrial electron transport system. Here, we compile evidence that suggests that mitochondrial–nuclear (mitonuclear) allelic interactions are evolutionarily significant modulators of the expression of key health-related and life-history phenotypes, across several biological scales—within species (intra- and interpopulational) and between species. We then introduce a new frontier for the study of mitonuclear interactions—those that occur within individuals, and are fuelled by the mtDNA heteroplasmy and the existence of nuclear-encoded mitochondrial gene duplicates and isoforms. Empirical evidence supports the idea of high-resolution tissue- and environment-specific modulation of intraindividual mitonuclear interactions. Predicting the penetrance, severity and expression patterns of mtDNA-induced mitochondrial diseases remains a conundrum. We contend that a deeper understanding of the dynamics and ramifications of mitonuclear interactions, across all biological levels, will provide key insights that tangibly advance our understanding, not only of core evolutionary processes, but also of the complex genetics underlying human mitochondrial disease.
TL;DR: In this paper, the electronic and structural components of charge density waves occurring in layered transition metal dichalcogenides are known to be interdependent, yet have only been probed in separate measurements.
Abstract: The electronic and structural components of charge density waves occurring in layered transition metal dichalcogenides are known to be interdependent, yet have only been probed in separate measurements. Now, a broadband terahertz spectroscopy approach that monitors the evolution of these two order parameters simultaneously is demonstrated.
Carlos III Health Institute1, University of Grenoble2, University of Valencia3, Utrecht University4, University of Crete5, Imperial College London6, University of Granada7, University of Oviedo8, Erasmus University Rotterdam9, French Institute of Health and Medical Research10, University of Navarra11
TL;DR: Air pollution exposure during pregnancy, particularly NO2, was associated with delayed psychomotor development during childhood, and the public health impact of the small changes observed at an individual level could be considerable.
Abstract: Background: Accumulating evidence from laboratory animal and human studies suggests that air pollution exposure during pregnancy affects cognitive and psychomotor development in childhood. Methods: We analyzed data from 6 European population-based birth cohorts-GENERATI ON R (The Netherlands), DUISBURG (Germany), EDEN (France), GASPII (Italy), RHEA (Greece), and INMA (Spain)-that recruited mother-infant pairs from 1997 to 2008. Air pollution levels-nitrogen oxides (NO2, NOx) in all regions and particulate matter (PM) with diameters of Results: A total of 9482 children were included. Air pollution exposure during pregnancy, particularly NO2, was associated with reduced psychomotor development (global psychomotor development score decreased by 0.68 points [95% confidence interval = -1.25 to -0.11] per increase of 10 mu g/m(3) in NO2). Similar trends were observed in most regions. No associations were found between any air pollutant and cognitive development. Conclusions: Air pollution exposure during pregnancy, particularly NO2 (for which motorized traffic is a major source), was associated with delayed psychomotor development during childhood. Due to the widespread nature of air pollution exposure, the public health impact of the small changes observed at an individual level could be considerable.
TL;DR: In this paper, the authors used the IR luminosity as an SFR indicator by applying it to synthetic spectral energy distributions generated from three-dimensional hydrodynamical simulations of isolated disc galaxies and galaxy mergers.
Abstract: The total infrared (IR) luminosity is very useful for estimating the star formation rate (SFR) of galaxies, but converting the IR luminosity into an SFR relies on assumptions that do not hold for all galaxies. We test the effectiveness of the IR luminosity as an SFR indicator by applying it to synthetic spectral energy distributions generated from three-dimensional hydrodynamical simulations of isolated disc galaxies and galaxy mergers. In general, the SFR inferred from the IR luminosity agrees well with the true instantaneous SFR of the simulated galaxies. However, for the major mergers in which a strong starburst is induced, the SFR inferred from the IR luminosity can overestimate the instantaneous SFR during the post-starburst phase by greater than two orders of magnitude. Even though the instantaneous SFR decreases rapidly after the starburst, the stars that were formed in the starburst can remain dust-obscured and thus produce significant IR luminosity. Consequently, use of the IR luminosity as an SFR indicator may cause one to conclude that post-starburst galaxies are still star forming, whereas in reality, star formation was recently quenched.
TL;DR: The design described here can be readily incorporated to any dedicated yeast strain, while the developed plasmid vectors and heterozygous ERG20 deletion yeast strain can also be used as a plug-and-play system for enzyme characterization and monoterpene pathway elucidation.
Abstract: Monoterpenes have an established use in the food and cosmetic industries and have recently also found application as advanced biofuels. Although metabolic engineering efforts have so far achieved significant yields of larger terpenes, monoterpene productivity is lagging behind. Here, we set out to establish a monoterpene-specific production platform in Saccharomyces cerevisiae and identified the sequential reaction mechanism of the yeast farnesyl diphosphate synthase Erg20p to be an important factor limiting monoterpene yield. To overcome this hurdle, we engineered Erg20p into a geranyl diphosphate synthase and achieved a significant increase in monoterpene titers. To further improve production, we converted the engineered geranyl diphosphate synthase into a dominant negative form, so as to decrease the ability of the endogenous Erg20p to function as a farnesyl diphosphate synthase, without entirely abolishing sterol biosynthesis. Fusion of the synthetic dominant negative Erg20p variant with the terpene synthase, combined with yeast strain engineering, further improved monoterpene yields and achieved an overall 340-fold increase in sabinene yield over the starting strain. The design described here can be readily incorporated to any dedicated yeast strain, while the developed plasmid vectors and heterozygous ERG20 deletion yeast strain can also be used as a plug-and-play system for enzyme characterization and monoterpene pathway elucidation.
TL;DR: In this article, the optimal operation of a ship electric power system comprising full electric propulsion and energy storage system is analyzed and an optimal power management method is proposed so that the operation cost is minimized, greenhouse gas emissions are limited and, at the same time, the associated technical and operational constraints are not violated.
Abstract: The extensive electrification of ship power systems has become a very appealing option for the development of more efficient and environmentally friendly ships. Optimal power management and energy storage systems will have a key role in such systems as they can lead to fuel consumption reduction and increase overall ship efficiency. However, technical difficulties arising from the inherent complexity of such systems should be overcome. In this paper, the optimal operation of a ship electric power system comprising full electric propulsion and energy storage system is analyzed. An optimal power management method is proposed so that the operation cost is minimized, greenhouse gas emissions are limited and, at the same time, the associated technical and operational constraints are not violated.