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Dynamics of Bacterial Communities and Resistomes Across Swine Waste Stabilization Ponds and Fertilized SoilsNARA Subscribed
The environmental dissemination of antimicrobial resistance (AMR) through livestock waste represents a growing concern for human, environmental, and animal health. This study investigated how swine waste stabilization ponds (WSPs), and subsequent manure application to agricultural soils, influence bacterial community structure, antimicrobial resistance genes (ARGs), and mobile genetic elements (MGEs). Using shotgun metagenomic...
Migration-driven exposome reconfiguration: a predictive, preventive and personalized medicine perspective on cardiometabolic riskNARA Subscribed
Contemporary global migration, driven by socioeconomic instability, armed conflict, climate change, and political factors, has emerged as a major determinant of exposome reconfiguration and cardiometabolic vulnerability. Migrant populations are disproportionately exposed to cumulative environmental, psychosocial, behavioral, and cultural stressors that may contribute to chronic low-grade inflammation, neuroendocrine dysregulat...
Climate change has intensified negative impacts on biodiversity through changes in precipitation patterns and rising global average temperatures. Semi-arid regions, such as parts of Northeastern Brazil, are particularly susceptible to these changes, with projections indicating that they will become hotter and drier, reducing the climatic suitability of several plant species. In this context, endemic and restricted-range specie...
Jellyfish bycatch poses challenges for small-scale fisheries by increasing costs and generating underutilized biomass. Yet this same biomass could represent a valuable resource, as jellyfish are an emerging source of collagen with a wide range of biotechnological applications. Within the COLMED project, a collaboration between researchers and fishers was established to explore the sustainable valorization of jellyfish bycatch...
Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysisNARA Subscribed
Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological alterations linked to severe disease in elderly patients with COVID-19. For this purpose, we employed a derivation cohort with 450 SARS-CoV-2 infected and unvaccinated patients admitted to hospital wards and a validation cohort with 244 SARS-CoV-2 infected and unvaccinated patie...