Spectrochim Acta A Mol Biomol Spectrosc
December 2024
The widespread use of copper (Cu) has raised concerns about environmental pollution and adverse effects on human health, highlighting the need to develop copper detection methods. Developing near-infrared (NIR) luminescent probes for imaging subcellular Cu is still a challenge. In this work, we have developed a luminescence probe based on a NIR iridium(III) complex, which rapidly detects Cu by combining salicylaldehyde and amine groups through a simple Schiff base reaction on the N^N ligand.
View Article and Find Full Text PDFThe enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge to predict which phages infect a focal set of bacteria. Infection is largely determined by complementary-and largely uncharacterized-genetics of adsorption, injection, cell take-over, and lysis. Here we present a machine learning approach to predict phage-bacteria interactions trained on genome sequences of and phenotypic interactions among 51 strains and 45 phage λ strains that coevolved in laboratory conditions for 37 days.
View Article and Find Full Text PDFPurpose: Children with complex communication needs face particular challenges during hospitalization. This study aimed to understand the situation for hospitalized Hong Kong Chinese children with complex communication needs.
Methods: Six group interviews were conducted with 23 participants, including nurses, doctors, adolescents with acquired brain injury, parents of children with acquired brain injury or cerebral palsy, and community-based therapists.
Background: Risk stratification of patients with symptomatic nonobstructive coronary artery disease remains uncertain. Our study assessed the clinical value of single-vessel, multivessel, and 3-vessel computational angiography-derived fractional flow reserve (caFFR) measurement in patients with nonobstructive coronary artery disease.
Methods And Results: We enrolled patients with ≤50% stenosis with a caFFR value ≥0.
Co-exposure to methamphetamine (METH) abuse and HIV infection exacerbates central nervous system damage. However, the underlying mechanisms of this process remain poorly understood. This study aims to explore the roles of neuronal autophagy in the synergistic damage to the central nervous system caused by METH and HIV proteins.
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