The paper is concerned with experimental and clinical problems. Posttranslation modification of ferritin with glucose has been shown to cause change of its immunochemical properties. Changes in iron metabolism and in the level of glycosylated hemoglobin A1c were noted in patients with different forms of diabetes mellitus.
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Biochemistry (Mosc)
December 2024
Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
Skeletal muscles account for ~30-40% of the total weight of human body and are responsible for its most important functions, including movement, respiration, thermogenesis, and glucose and protein metabolism. Skeletal muscle damage negatively impacts the whole-body functioning, leading to deterioration of the quality of life and, in severe cases, death. Therefore, timely diagnosis and therapy for skeletal muscle dysfunction are important goals of modern medicine.
View Article and Find Full Text PDFAntiviral Res
January 2025
School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education; Shenzhen Key Laboratory of Pathogenic Microbes and Biosafety. Electronic address:
IgA antibodies are critical components of the mucosal immune barrier, providing essential first-line defense against viral infections. In this study, we investigated the impact of antibody class switching on neutralization efficacy by engineering recombinant antibodies of different isotypes (IgA1, IgG1) with identical variable regions from SARS-CoV-2 convalescent patients. A potent, broad-spectrum neutralizing monoclonal antibody CAV-C65 exhibited a ten-fold increase in neutralization potency upon switching from IgG1 to IgA1 monomer.
View Article and Find Full Text PDFSci Adv
November 2024
School of Physics and Astronomy, & Shanghai National Center for Applied Mathematics (SJTU Center), & Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.
Designing protein mutants with both high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, a deep learning model, which can suggest protein mutants with improved stability and activity without any prior experimental mutagenesis data for the specified protein. Leveraging temperature-aware language modeling, PRIME demonstrated superior predictive ability compared to current state-of-the-art models on the public mutagenesis dataset across 283 protein assays.
View Article and Find Full Text PDFMikrochim Acta
October 2024
Central European Institute of Technology (CEITEC), Brno University of Technology, Purkyňova 656/123, 612 00, Brno, Czech Republic.
Int J Mol Sci
September 2024
Shanghai Institute for Advanced Immunochemical Studies (SIAIS), ShanghaiTech University, Shanghai 201210, China.
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