The direct and urinary electrolyte-mediated effects of ambient temperature on population blood pressure: A causal mediation analysis.

High ambient heat can directly influence blood pressure (BP) through the vasodilation of the skin vasculature and indirectly by affecting urinary volume and electrolyte levels. We evaluated the direct and urine electrolyte-mediated effects of ambient temperature on BP. We pooled 5,624 person-visit data from a community-based stepped-wedge randomized control trial in southwest coastal Bangladesh from December 2016 to May 2017.

Electrochemical Oxidative Cascade Cyclization of Alkenyl Alcohols with External Nucleophiles to Access Amino- and Hydroxy-Functionalized -Heterocycles.

A convenient electrochemical oxidative cascade cyclization of alkenes equipped with pendant alcohols with general nucleophiles was developed. Using readily available diarylmethanimine and carboxylic acids as nucleophilic sources, a broad range of internal alkene and terminal alkene substrates could produce RCO- and ArCN-functionalized -heterocycles in moderate to high yields without the requirement for external oxidants and metals. These resulting products can subsequently be hydrolyzed to yield valuable NH- and OH-functionalized tetrahydrofurans and tetrahydropyranes under mild conditions.

Extracellular Vesicle-Like Nanovesicle for Skin Photoaging Therapy.

Ultraviolet (UV) irradiation leads to the degradation of the extracellular matrix and collagen, thereby accelerating skin aging and imposing substantial psychological burden on patients. Current anti-aging strategies are limited and often associated with high costs or strong side effects. Plant-derived extracellular vesicle-like nanovesicles, with advantages such as natural availability and cost-effectiveness, show potential in anti-aging interventions.

Generalized Bayesian kernel machine regression.

Kernel machine regression is a nonparametric regression method widely applied in biomedical and environmental health research. It employs a kernel function to measure the similarities between sample pairs, effectively identifying significant exposures and assessing their nonlinear impacts on outcomes. This article introduces an enhanced framework, the generalized Bayesian kernel machine regression.