AI Article Synopsis

  • The innate immune system uses unique strategies, like human defensin-6, to prevent harmful bacteria from taking hold in the body, highlighting the need for new antibacterial treatments due to rising antibiotic resistance from Gram-negative bacteria.
  • Researchers developed a defensin-like peptide, known as bacteria extracellular trap (BET) peptide, designed with specific features to target and trap Gram-negative bacteria by transforming from nanoparticles to nanofibrous networks.
  • The BET peptide showed antibacterial effects similar to the antibiotic neomycin in tests, and animal studies confirmed its ability to induce bacterial aggregation, offering a promising new method to combat pathogenic Gram-negative bacteria.

Article Abstract

An innate immune system intricately leverages unique mechanisms to inhibit colonization of external invasive Bacteria, for example human defensin-6, through responsive encapsulation of bacteria. Infection and accompanying antibiotic resistance stemming from Gram-negative bacteria aggregation represent an emerging public health crisis, which calls for research into novel anti-bacterial therapeutics. Herein, inspired by naturally found host-defense peptides, we design a defensin-like peptide ligand, bacteria extracellular trap (BET) peptide, with modular design composed of targeting, assembly, and hydrophobic motifs with an aggregation-induced emission feature. The ligand specifically recognizes Gram-negative bacteria targeting cell wall conserved lipopolysaccharides (LPS) and transforms from nanoparticles to nanofibrous networks to trap bacteria and induce aggregation. Importantly, treatment of the BET peptide was found to have an antibacterial effect on the strain, which is comparable to neomycin. Animal studies further demonstrate its ability to trigger aggregation of bacteria . This biomimetic self-assembling BET peptide provides a novel approach to fight against pathogenic Gram-negative bacteria.

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Source
http://dx.doi.org/10.1039/d3tb02559dDOI Listing

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