Microbial transformation of bile acids affects intestinal immune homoeostasis but its impact on inflammatory pathologies remains largely unknown. Using a mouse model of graft-versus-host disease (GVHD), we found that T cell-driven inflammation decreased the abundance of microbiome-encoded bile salt hydrolase (BSH) genes and reduced the levels of unconjugated and microbe-derived bile acids. Several microbe-derived bile acids attenuated farnesoid X receptor (FXR) activation, suggesting that loss of these metabolites during inflammation may increase FXR activity and exacerbate the course of disease.
View Article and Find Full Text PDFMaca (, ) is part of the family and grows at high altitudes in the Peruvian Andes mountain range (3500-5000 m). Historically, it has been used as a nutrient-dense food and for its medicinal properties, primarily in enhancing energy and fertility. Scientific research has validated these traditional uses and other clinical applications by elucidating maca's mechanisms of action, nutrition, and phytochemical content.
View Article and Find Full Text PDFBackground: Music evokes strong and persistent emotional responses. However, the mechanisms underlying the emotional effects of music, particularly in older adults, are largely unknown. One purported mechanism by which music evokes emotions is through memory - that is, music evokes personal, autobiographical memories that then lead to emotional responses.
View Article and Find Full Text PDFIn 2020 the NHS in England set a target of reaching net zero carbon emissions by 2040. Progress has already been made towards this goal, with substantial reductions in the use of environmentally harmful anaesthetic gases, such as desflurane, in recent years. Where an effective replacement already exists, changing practice to use low carbon alternatives is relatively easy to achieve, but much greater challenges lie ahead.
View Article and Find Full Text PDFLong short-term memory (LSTM) models have been shown to be efficient for rainfall-runoff modeling, and to a lesser extent, for groundwater depth forecasting. In this study, LSTMs were applied to quantify the spatiotemporal evolution of surface and subsurface hydrographs in Alabama in the Southeastern United States, where water sustainability has not been fully quantified across spatiotemporal scales. First, the surface water LSTM model with extensive dynamic (precipitation and other weather variables) and static (basin characteristics) inputs predicted the main characteristics of streamflow for six years at 19 gauged basins in Alabama.
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