Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/7732
Title: Targeting Gram-Negative Bacterial Biofilm with Innovative Therapies: Communication Silencing Strategies
Authors: Malešević, Milka
Jovčić, Branko 
Keywords: Biofilm;;Virulence;;Antibiotics resistance;;Gram-negative bacteria;;Quorum sensing;;Quorum sensing inhibitors;;Quorum quenching enzymes;;Antibodies;;Combinatorial therapy;;Bioinformatics.
Issue Date: 2025
Rank: M22
Publisher: MDPI
Journal: Future Pharmacology
Volume: 5
Issue: 3
Start page: 35
Abstract: 
Biofilm-associated infections caused by Gram-negative bacteria, especially multidrug-resistant strains, frequently occur in intensive care units and represent a major therapeutic challenge. The economic burden of biofilm-associated infections is considerable, making the search for new treatment approaches a focal point for policymakers and scientific funding bodies. Biofilm formation is regulated by quorum sensing (QS), a population density-dependent communication mechanism between cells mediated by small diffusible signaling molecules. QS modulates various intracellular processes, and some features of QS are common to all Gram-negative bacteria. While there are differences in the QS regulatory networks of different Gram-negative bacterial species, a common feature of most Gram-negative bacteria is the ability of N-acylhomoserine lactones (AHL) as inducers to diffuse across the bacterial membrane and interact with receptors located either in the cytoplasm or on the inner membrane. Targeting QS by inhibiting the synthesis, transport, or perception of signaling molecules using small molecules, quorum quenching enzymes, antibodies, combinatorial therapies, or nanoparticles is a promising strategy to combat virulence. In-depth knowledge of biofilm biology, antibiotic susceptibility, and penetration mechanisms, as well as a deep understanding of anti-QS agents, will contribute to the development of antimicrobial therapies to combat biofilm infections. Advancing antimicrobial therapies against biofilm infections requires a deep understanding of biofilm biology, antibiotic susceptibility, penetration mechanisms, and anti-QS strategies. This can be achieved through in vivo and clinical studies, supported by state-of-the-art tools such as machine learning and artificial intelligence.
URI: https://biore.bio.bg.ac.rs/handle/123456789/7732
ISSN: 2673-9879
DOI: 10.3390/futurepharmacol5030035
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