Task shifting roles, interventions and outcomes for kidney and cardiovascular health service delivery among African populations: a scoping review.

Background: Human resources for health (HRH) shortages are a major limitation to equitable access to healthcare. African countries have the most severe shortage of HRH in the world despite rising communicable and non-communicable disease (NCD) burden. Task shifting provides an opportunity to fill the gaps in HRH shortage in Africa.

Rationally designed inhibitors of the Musashi protein-RNA interaction by hotspot mimicry.

RNA-binding proteins (RBPs) are key post-transcriptional regulators of gene expression, and thus underlie many important biological processes. Here, we developed a strategy that entails extracting a "hotspot pharmacophore" from the structure of a protein-RNA complex, to create a template for designing small-molecule inhibitors and for exploring the selectivity of the resulting inhibitors. We demonstrate this approach by designing inhibitors of Musashi proteins MSI1 and MSI2, key regulators of mRNA stability and translation that are upregulated in many cancers.

Rationally designed inhibitors of the Musashi protein-RNA interaction by hotspot mimicry.

RNA-binding proteins (RBPs) are key post-transcriptional regulators of gene expression, and thus underlie many important biological processes. Here, we developed a strategy that entails extracting a "hotspot pharmacophore" from the structure of a protein-RNA complex, to create a template for designing small-molecule inhibitors and for exploring the selectivity of the resulting inhibitors. We demonstrate this approach by designing inhibitors of Musashi proteins MSI1 and MSI2, key regulators of mRNA stability and translation that are upregulated in many cancers.

Triple emergencies: Hyperosmolar hyperglycemic state, venous thromboembolism, and huge free-floating right heart thrombus successfully managed with anticoagulation.

A 57-year-old man, with type 2 diabetes mellitus, was admitted with a hyperosmolar hyperglycemic state, who developed in-hospital venous thromboembolism with huge free-floating right heart thrombus, and there is no available optimal treatment option for the huge free-floating right heart thrombus, except anticoagulation with warfarin and low molecular weight heparin with successful outcome.

Machine learning classification can reduce false positives in structure-based virtual screening.

With the recent explosion in the size of libraries available for screening, virtual screening is positioned to assume a more prominent role in early drug discovery's search for active chemical matter. In typical virtual screens, however, only about 12% of the top-scoring compounds actually show activity when tested in biochemical assays. We argue that most scoring functions used for this task have been developed with insufficient thoughtfulness into the datasets on which they are trained and tested, leading to overly simplistic models and/or overtraining.

Cellular Growth Arrest and Persistence from Enzyme Saturation.

Metabolic efficiency depends on the balance between supply and demand of metabolites, which is sensitive to environmental and physiological fluctuations, or noise, causing shortages or surpluses in the metabolic pipeline. How cells can reliably optimize biomass production in the presence of metabolic fluctuations is a fundamental question that has not been fully answered. Here we use mathematical models to predict that enzyme saturation creates distinct regimes of cellular growth, including a phase of growth arrest resulting from toxicity of the metabolic process.