An effective and practical antibacterial strategy is to design multifunctional and stimuli-responsive materials that exhibit antibacterial activity in response to bacterial triggers. In this study, because the metabolism of Staphylococcus aureus (S. aureus) can acidify the surrounding environment and pH level can affect the lower critical solution temperature of temperature/pH dual-sensitive polymers, a monomer containing a temperature-sensitive N-isopropyl amide derivative and pH-sensitive tertiary amine groups is first synthesized. Then, the monomer is copolymerized with a polyurethane chain, and partial tertiary amine groups are quaternized to obtain bactericidal activity. The modified polyurethane exhibits temperature/pH sensitivity, antibacterial adhesion activity, bactericidal activity, and good cytocompatibility. An in situ investigation of bacterial behavior and pH changes in the bacterial suspension during the process confirms that the temperature/pH dual-sensitive polyurethane successfully achieves antibacterial activity though the metabolic activity of S. aureus without external intervention. This design concept provides a new perspective for antibacterial material design.
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http://dx.doi.org/10.1002/marc.202300453 | DOI Listing |
Nat Commun
December 2024
Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
The general control non-repressible 5 (GCN5)-related N-acetyltransferase (GNAT) SbzI, in the biosynthesis of the sulfonamide antibiotic altemicidin, catalyzes the transfer of the 2-sulfamoylacetyl (2-SA) moiety onto 6-azatetrahydroindane dinucleotide. While most GNAT superfamily utilize acyl-coenzyme A (acyl-CoA) as substrates, SbzI recognizes a carrier-protein (CP)-tethered 2-SA substrate. Moreover, SbzI is the only naturally occurring enzyme that catalyzes the direct incorporation of sulfonamide, a valuable pharmacophore in medicinal chemistry.
View Article and Find Full Text PDFJ Biomol Struct Dyn
February 2025
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
is one of the opportunistic pathogens that may cause serious health problems and can produce several virulence factors, which are responsible for various infections, particularly in immunocompromised patients. They are responsible for producing infections on indwelling medical devices by attaching on to them and forming a biofilm. Antibiofilm, antivirulence, and gene expression studies of biofilm treated with esters of flavonols were evaluated.
View Article and Find Full Text PDFJ Appl Microbiol
December 2024
Laboratory of Antimicrobial Testing (LEA), Institute of Biomedical Sciences (ICBM), Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brazil.
Aims: Bacterial resistance and systemic risks associated with periodontitis underscore the need for novel antimicrobial agents. Cannabis sativa is a promising source of antimicrobial molecules, and cannabidiol (CBD) attracts significant interest. This study evaluated the antibacterial and antibiofilm activity of CBD against periodontopathogens, and assessed its toxicity in vivo model.
View Article and Find Full Text PDFSmall Methods
December 2024
Institute of Translational Medicine, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Colored contact lenses have gained popularity among young individuals owing to their ability to alter the appearance of the wearer's eyes. However, conventional lenses containing chemical dyes are susceptible to detachment of the pigment layer, which can lead to corneal damage. In this research, a novel cellulose-based structural color contact lens (SCCL) is presented that enhances aesthetic appeal via a cholesteric liquid crystal (CLC) layer.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
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