The determination of trypsin activity in human urine is important for evaluating pancreatic disease. We designed an effective fluorescence sensing strategy based on a self-assembled amphiphilic pyrene/protamine complex system that provides an amplified fluorescence response for highly sensitive and selective detection of trypsin. In aqueous solution, the functionalized pyrene formed fluorescent, π-extended aggregates inside micelles, which were effectively quenched by protamine (a trypsin substrate). However, this quenched fluorescence was very sensitively recovered by the trypsin's enzymatic reaction, and this was attributed to a marked reduction in enhanced exciton migration caused by protamine in π-delocalized pyrene aggregates. The devised sensing platform was successfully utilized to selectively and sensitively detect trypsin at very low concentrations (0.03-0.5 μg mL) in non-pretreated human urine and to screen for trypsin inhibitors at concentrations of 0.1-5.0 μg mL.
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http://dx.doi.org/10.1021/acssensors.3c00297 | DOI Listing |
Medicine (Baltimore)
January 2025
The First Medical Center of Chinese PLA General Hospital & Medical School, Beijing, China.
Background: This study investigates the role and efficacy of acupuncture combined with rehabilitation therapy during the recovery phase of patients with traumatic spinal cord injury. Patients hospitalized in the acupuncture department of our center between December 1, 2019, and December 1, 2021, were enrolled.
Methods: Participants were divided into an observation group (acupuncture and rehabilitation therapy) and a control group (rehabilitation therapy alone) based on their treatment sequence.
Mikrochim Acta
January 2025
School of Public Health, Hebei Key Laboratory of Occupational Health and Safety for Coal Industry, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan, 063210, Hebei, China.
Biochars (BCs) derived from waste-branches of apple tree, grape tree, and oak were developed for direct solid-phase extraction (SPE) of five benzodiazepines (BZDs) in crude urine samples prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS) determination. Scanning electron microscopy, elemental analyzer, X-ray diffractometry, N adsorption/desorption experiments, and Fourier transform infrared spectrometry characterizations revealed the existence of their mesoporous structure and numerous oxygen-containing functional groups. The obtained BCs not only possessed high affinity towards BZDs via π-π and hydrogen bond interactions, but also afforded the great biocompatibility of excluding interfering components from undiluted urine samples when using SPE adsorbents.
View Article and Find Full Text PDFXenobiotica
January 2025
Department of Pharmaceutical Sciences, School of Pharmacy, Westcoast University, 590 North Vermont Avenue, Los Angeles, CA 90004.
A four-compartment model is presented that simulates inorganic mercury [Hg(II)] pharmacokinetics in blood, tissue, and excreta over a 70 day period. Simulations are validated against data collected from five human subjects, and previously analyzed (Farris, F.F.
View Article and Find Full Text PDFCells
December 2024
Department of Mechanical Engineering, Tufts University, Medford, MA 02155, USA.
The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, these promising findings were limited by a relatively small patient cohort, resulting in modest statistical significance.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Klick Applied Sciences, Klick Health, Toronto, ON, Canada.
Background: Identifying subtle changes in the menstrual cycle is crucial for effective fertility tracking and understanding reproductive health.
Objective: The aim of the study is to explore how fundamental frequency features vary between menstrual phases using daily voice recordings.
Methods: This study analyzed smartphone-collected voice recordings from 16 naturally cycling female participants, collected every day for 1 full menstrual cycle.
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