SARS-CoV-2 Spike triggers barrier dysfunction and vascular leak via integrins and TGF-β signaling

Severe COVID-19 is associated with epithelial and endothelial barrier dysfunction within the lung as well as in distal organs. While it is appreciated that an exaggerated inflammatory response is associated with barrier dysfunction, the triggers of vascular leak are unclear. Here, we report that cell-intrinsic interactions between the Spike (S) glycoprotein of SARS-CoV-2 and epithelial/endothelial cells are sufficient to induce barrier dysfunction in vitro and vascular leak in vivo, independently of viral replication and the ACE2 receptor. We identify an S-triggered transcriptional response associated with extracellular matrix reorganization and TGF-β signaling. Using genetic knockouts and specific inhibitors, we demonstrate that glycosaminoglycans, integrins, and the TGF-β signaling axis are required for S-mediated barrier dysfunction. Notably, we show that SARS-CoV-2 infection caused leak in vivo, which was reduced by inhibiting integrins. Our findings offer mechanistic insight into SARS-CoV-2-triggered vascular leak, providing a starting point for development of therapies targeting COVID-19

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

Produtividade e qualidade de frutos de mamão cultivar 'Golden' sob diferentes lâminas de irrigação e doses de potássio no norte de Espírito Santo Fruit yield and quality of papaya 'Golden' under different irrigation depths and potassium doses in the north of Espírito Santo State, Brazil

Este trabalho teve como objetivo estudar os efeitos de diferentes lâminas de irrigação e de doses de potássio sobre a produtividade e a qualidade dos frutos do mamoeiro cultivar Golden. O experimento foi realizado em área de produção agrícola comercial, localizada em Linhares - ES. O delineamento experimental foi em blocos casualizados, com arranjo em parcela subdividida, com três repetições. Os tratamentos foram compostos por cinco lâminas de irrigação, na parcela, e quatro doses de potássio, na subparcela, totalizando 20 tratamentos. As cinco lâminas de irrigação programadas foram de 50; 70; 90; 110 e 130% da ETo, e as quatro doses de potássio foram de 30; 42; 54 e 66 g de K2O por planta ao mês. Os elevados índices pluviométricos no período experimental (fevereiro-2005 a junho-2006) excederam em muito as necessidades hídricas das plantas, interferindo nos tratamentos, não permitindo variação significativa nas variáveis analisadas, principalmente em função das lâminas aplicadas. Durante os 11 meses e 21 dias de colheita, a produtividade média da cultivar Golden foi de 79,4 t ha-1, com média de 96 frutos por planta, que, no estádio I de maturação, apresentavam massa de 404 g, teor médio de SST de 10,11 ºBrix e firmeza da polpa e do fruto de 79,80 N e 126,19 N, respectivamente.<br>This work aimed to study the effects of different irrigation depths and potassium doses on yield and fruit quality of papaya cv Golden. The experiment was carried out in an area of commercial and agricultural production situated in Linhares - ES, Brazil. The design employed was randomized blocks, arranged in subdivided parcels and having three replications. The treatments consisted of five irrigation depths in the parcel and four potassium doses in the subparcel, totalizing 20 treatments. The five programmed irrigation depths were 50; 70; 90; 110 and 130% of the reference evapotranspiration and the four potassium doses were 30; 42; 54 and 66 g of K2O plant-1month-1. The high rainfall rates in the experimental period (February-2005 to June-2006), greatly overcame the plant water requirements, interfering in the treatments, not allowing significant variation in the variables analyzed, particularly in function of the applied depths. During the 11 months and 21 days of harvest, the average yield was 79.41 t ha-1, with an average of 96 fruits per plant which, in the first stage of ripening, presented a mass of 404 g, average total soluble solids content (SST) of 10.11 ºBrix and pulp and fruit firmness of 79.80 N and 126.19 N, respectively

Alimentação de bezerros ruminantes com dieta líquida, via goteira esofageana: parâmetros ruminais Ruminant calves feeding with liquid diet, through esophageal groove: ruminal parameters

Efeitos de fornecer proteína texturizada de soja (PTS) na forma líquida, via goteira esofágica, ou na forma sólida, via concentrados, foram estudados em um delineamento quadrado latino 4 x 4, empregando quatro novilhos Holandeses providos de cânulas ruminais, pesando cerca de 100 kg cada, no início do experimento. Os tratamentos consistiram de níveis crescentes de PTS na forma líquida (0, 33, 66 e 100%), oferecidos em mamadeiras, e níveis decrescentes de misturas concentradas, mantendo-se a mesma quantidade de nitrogênio em todas as dietas. Os subperíodos experimentais foram de 21 dias, sendo os primeiros 16 de adaptação às rações (feno de Cynodon dactilon, mistura concentrada e alimento líquido). Ensaio de digestibilidade in situ foi executado do dia 17 ao 20, sendo os tempos de incubação de 0, 1,5, 3, 6, 12, 24 e 48 horas, para o farelo de soja e PTS, e 0, 6, 12, 24, 48h, 72 e 96 horas para o feno. Foram tomadas amostras de conteúdo ruminal para análise de volume e taxa de passagem de líquidos, e pH, no dia 21 às 0, 1, 3, 6, 12 e 24 horas. No dia 20, conteúdos ruminais foram coletados para análise de ácidos graxos voláteis (AGV) e N amoniacal às 0, 2, 4, 5 e 6h após a primeira alimentação do dia. Foi observado aumento na taxa de passagem e turnover líquido com a diminuição do suplemento protéico na forma líquida. Não ocorreram efeitos da forma de alimentação nas concentrações dos totais de AGV ou nas suas porcentagens molares individuais, do mesmo modo que o pH não foi afetado. Não houve efeitos da forma de alimentação sobre a degradabilidade in situ da proteína e da matéria seca do farelo de soja e PTS, tampouco efeitos sobre a degradabilidade da matéria seca e fibra em detergente neutro do feno.<br>Effects of feeding textured soy protein (TSP), in liquid form throught esophageal groove, or solid form throught concentrate meal, were studied in a 4 x 4 Latin-square change-over design, using four Holstein steers fitted with ruminal cannulas, averaging 100 kg live weight at the beginning of trial. Treatments consisted of increasing TSP levels in liquid form (0, 33, 66 and 100%) offered through nipple-pail, and decreasing levels in concentrate meal to keep the same amout of nitrogen in all diets. Twenty-one days sub periods were used, the first sexteen for diet adaptation (Cynodon dactilon hay, concentrate mixture and liquid feed). In situ degradability assay was runned from day 17 to 20, and incubation times were 0, 1.5, 3, 6, 12, 24 and 48hours for soybean meal and TSP, and 0, 6, 12, 24, 48, 72 and 96 hours for coastcross hay. Ruminal contents colections to analize liquid volume, passage rate, and pH were made at twentieth first day at 0h, 1h, 3h, 6h, 12h, and 24h. On twentieth day ruminal contents were colected to analyze volatile fatty acids (VFA) and ammonia nitrogen at 0, 2h, 3h, 4h, 5h and 6h after first feed. An increase in passage rate and ruminal turnover was observed as the liquid suplement protein amount decreased. There were no effects of feeding form in the total VFA concentrations or its individual molar percentages; also ruminal pH was not affected. There were no effects of feeding form upon in situ degradability of soybean meal and TSP dry matter (DM) and crude protein (CP), as well as there were no effects in the degradability of Coast-Cross hay DM and neutral detergent fiber (NDF)

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Measurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of missing energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

International audienceMeasurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of missing energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

International audienceMeasurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of missing energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Measurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of missing energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Measurements of electrons from νe interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of missing energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons