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Folia microbiologica · 2025

Detection and identification of pathogens using agents targeting the bacterial cell wall.

СтатьяОбзорНазвание и аннотация: Перевод в очереди
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Zhydzetski Aliaksandr, Głowacka-Grzyb Zuzanna, Chlebicka Kinga, Władyka Benedykt

Аннотация

The widespread emergence of multidrug-resistant pathogenic bacteria across various environments, healthcare settings, and food industries, combined with the development of new methods to combat them, highlights the need for more precise, rapid, and cost-effective pathogen detection techniques. This is especially important for clinically relevant pathogens, as it allows treatment to begin as quickly as possible, enables more effective targeted therapies to be chosen, helps preserve the effectiveness of current antibacterial agents, and prevents infections from water- and foodborne bacterial pathogens. Currently, many methods can accurately identify bacteria at the species or strain level and determine their antibiotic resistance. However, most of these techniques require sample preparation and cell culture beforehand, which can be time-consuming and labor-intensive. This review aims to highlight approaches that focus on identifying bacterial cells-especially pathogenic groups-based on their surface properties. This includes agents such as antibodies, whole phage particles, phage receptor binding proteins, cell wall-binding domains of peptidoglycan hydrolases, and functionalized magnetic nanoparticles. These agents can bind to and recognize peptidoglycan, parts of it, and other cell wall components. Developing detection kits based on these agents could enable the rapid detection of pathogenic bacteria from genera such as Acinetobacter, Bacillus, Campylobacter, Clostridium, Enterococcus, Klebsiella, Listeria, Pseudomonas, Salmonella, Shigella, Staphylococcus, Streptococcus, Vibrio, and Yersinia. These methods also offer the potential to distinguish these infectious pathogens from each other and from bacteria of the natural microbiota. Detection typically takes from a few minutes to several hours, with a broad detection range depending on the pathogen species, the detecting agent, and the technique used.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты