Browse Articles
Discover research articles across all indexed journals
Harnessing technological innovation and renewable energy and their impact on environmental pollution in G-20 countries
Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization
Acetylation-enhanced Sp1 transcriptional activity suppresses Mlph expression
Functionally-informed fine-mapping identifies genetic variants linking increased CHD1L expression and HIV restriction in monocytes
Abstract Human Immunodeficiency Virus Type 1 (HIV) set-point viral load is a strong predictor of disease progression and transmission risk. A recent genome-wide association study in individuals of African ancestries identified a region on chromosome 1 significantly associated with decreased HIV set-point viral load. Knockout of the closest gene, CHD1L, enhanced HIV replication in vitro in myeloid cells. However, it remains unclear if HIV spVL associated variants are associated with CHD1L gene expression changes. Here we apply a heuristic fine-mapping approach to prioritize combinations of variants that explain the majority of set-point viral load variance and identify variants likely driving the association. We assess the combined impact of these variants on CHD1L regulation using publicly available sequencing studies, and test the relationship between CHD1L expression and set-point viral load using imputed CHD1L expression from monocytes. Taken together, this work characterizes genetically regulated CHD1L expression and further expands our knowledge of CHD1L-mediated HIV restriction in monocytes.
Pig nasal and rectal microbiotas are involved in the antibody response to Glaesserella parasuis
Abstract Vaccination stands as one of the most sustainable and promising strategies to control infectious diseases in animal production. Nevertheless, the causes for antibody response variation among individuals are poorly understood. The animal microbiota has been shown to be involved in the correct development and function of the host immunity, including the antibody response. Here, we studied the nasal and rectal microbiota composition in association with the antibody response against the pathobiont Glaesserella parasuis. The nasal and rectal microbiotas of 24 piglets were sampled in two farms before vaccination and in one unvaccinated farm (naturally exposed to the pathobiont) at similar time. Microbiota composition was inferred by V3V4 16S rRNA gene sequencing and bioinformatics analysis, and the antibody response was quantified using the variation between the levels before and after vaccination (normalized per farm). Piglets with higher antibody responses showed more diverse nasal and rectal microbial communities compared to piglets with lower responses. Moreover, swine nasal core microbiota colonizers were associated with higher antibody levels, such as several members from Bacteroidales and Clostridiales orders and genera including Moraxella, Staphylococcus, Fusobacterium and Neisseria. Regarding taxa found in the rectal microbiota, associations with antibody responses were detected only at order level, pointing towards a positive role for Clostridiales while negative for Enterobacteriales. Altogether, these results suggest that the microbiota is associated with the antibody response to G. parasuis (and probably to other pathogens) and serves as starting point to understand the factors that contribute to immunization in pigs.
Association between chronic fatigue syndrome/myalgic encephalomyelitis and cardiovascular disease
Development of the Crisis and Emergency Intervention Skills Scale (CEISS) and an analysis of its psychometric properties
Multidimensional Resonance Controlled by Critical Size in Printed Binary Colloidal Crystals for High-Contrast Imaging
Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis
Choroidal thickness under pilocarpine versus cyclopentolate
Intermittent enteral nutrition shortens the time to achieve nutritional goals in critically ill patients
p-Type BiVO<sub>4</sub> for Solar O<sub>2</sub> Reduction to H<sub>2</sub>O<sub>2</sub>
Multi-faceted examination of a deepwater seamount reveals ecological patterns among coral and sponge communities in the equatorial Pacific
Abstract Spatial changes in benthic community structure have been observed across natural gradients in deep-sea ecosystems, but these patterns remain under-sampled on seamounts. Here, we identify the spatial composition and distribution of coral and sponge taxa on four sides of a single central Pacific equatorial “model” seamount within the US EEZ surrounding the Howland and Baker unit of the Pacific Islands Heritage Marine National Monument. This seamount rises from 5,000 + m to mesophotic depths of 196 m, and is influenced by the Equatorial Undercurrent. Four remotely operated vehicle (ROV) transects were completed, one on each flank of the seamount. Shallower than ~ 250 m, the mesophotic seafloor was composed of scoured carbonate pavement with sediment accumulation only found in rocky depressions. Waters below 500 m hosted communities predominantly composed of octocorals, however, several coral taxa showed seamount flank preference (higher abundance on one or more flanks than the others) even though strong vertical (depth) zonation of corals and sponges was observed on all flanks. Euplectellidae, Plexauridae and Chrysogorgia spp. corals each showed a distinct preference for flank. To help visualize the influence of current flow, oxygen, depth, and substrate type on the zonation of seamounts, we created an Alexander Von Humboldt-style infographic to illustrate the observed biodiversity patterns. Given the importance of seamounts to ocean biodiversity and productivity, this study is an early attempt at a holistic visualization of seamount biology that can advance new hypotheses about seamount ecology.
A comparative study of polydopamine vs. glass ionomer cement for adhesion mechanisms on enamel and dentin using SEM and shear bond strength evaluation
Toward Sustainable Polydienes
Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm
Molecular Strain Accelerates Electron Transfer for Enhanced Oxygen Reduction
Research on the impact of mutual elderly care on the physical and mental health of rural elderly in China
Error mitigation in brainbox quantum autoencoders
Abstract Quantum hardware faces noise challenges that disrupt multiqubit entangled states. Quantum autoencoder circuits with a single qubit bottleneck have demonstrated the capability to correct errors in noisy entangled states. By introducing slightly more complex structures in the bottleneck, referred to as brainboxes, the denoising process can occure more quickly and efficiently in the presence of stronger noise channels. Selecting the most suitable brainbox for the bottleneck involves a trade-off between the intensity of noise on the hardware and training complexity. Finally, by analysing the Rényi entropy flow throughout the networks, we demonstrate that the localization of entanglement plays a central role in denoising through learning.