We have compared the oxidative renaturation of reduced hen egg white lysozyme promoted by Cu(II) + O2 with that promoted by a glutathione redox buffer. The progress curves for protein fluorescence, circular dicroism, thiol oxidation, hydrodynamic volume, and enzymic activity were determined for both regeneration systems. All of these processes were more rapid in the glutathione regeneration than in the copper-catalyzed. Comparison of the two systems was carried out by normalizing the progress curves with a coordinate system where "time" is replaced by "extent of protein thiol oxidation." While similar progress curves were obtained for circular dichroism, the two systems produced distinctly different progress curves for enzymic activity, fluorescence, and gel permeation chromatographic reflection of protein hydrodynamic volume. We infer that all these differences result from differences in relative amounts and/or kind of reaction intermediates. Thus, there are substantial differences between the renaturation mechanisms of the glutathione- and the copper-promoted systems.
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Front Nutr
January 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Background: Few studies have explored the link between nutritional status and prognosis in patients with epithelial ovarian cancer (EOC), and existing findings are controversial. Thus, this study aimed to explore the effects of pre-treatment nutrition-related indicators on the prognosis of patients with newly diagnosed EOC.
Methods: In this ambispective cohort study, 1,020 patients with EOC diagnosed by pathology examination were enrolled and followed-up until December 31, 2023.
BMJ Oncol
February 2024
Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Objective: Fast progression (FP) represents a desperate situation for advanced non-small cell lung cancer (NSCLC) patients undergoing immune checkpoint inhibitor therapy. We aimed to develop a predictive framework based on machine learning (ML) methods to identify FP in advanced NSCLC patients using blood test biomarkers.
Methods And Analysis: We extracted data of 1546 atezolizumab-treated patients from four multicentre clinical trials.
Biochem Biophys Rep
March 2025
Department of Chemistry, University of Nebraska at Kearney, USA.
Human citrate synthase (hCS) was kinetically characterized through full progress curve kinetic modelling using kinetic simulation, global fitting of the direct AcCoA to CoA transition, and a coupled thiol probe reaction to better determine the kinetics with low substrate concentration. Our analysis provides one of the most rigorous kinetic analyses of any citrate synthase ruling out the need to invoke complex cooperative mechanisms to explain progress curve data. Furthermore, we collected and modeled stopped-flow pH-dependent kinetic data with CoA and popular thiol probes such as Ellman's reagent (DTNB) and 4,4'-Dithiodipyridine (DPS), providing the opportunity for detailed kinetic simulations using these thiol probes with CoA producing enzymes.
View Article and Find Full Text PDFBrain Commun
January 2025
Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Digital cognitive testing using online platforms has emerged as a potentially transformative tool in clinical neuroscience. In theory, it could provide a powerful means of screening for and tracking cognitive performance in people at risk of developing conditions such as Alzheimer's disease. Here we investigate whether digital metrics derived from an in-person administered, tablet-based short-term memory task-the 'What was where?' Oxford Memory Task-were able to clinically stratify patients at different points within the Alzheimer's disease continuum and to track disease progression over time.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. Although predicting and forecasting the propagation of COVID-19 are valuable, they nevertheless present an enormous challenge.
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