Bacterial extracellular vesicles: towards realistic models for bacterial membranes in molecular interaction studies by surface plasmon resonance

Front Mol Biosci. 2023 Dec 13:10:1277963. doi: 10.3389/fmolb.2023.1277963. eCollection 2023.

Abstract

One way to mitigate the ongoing antimicrobial resistance crisis is to discover and develop new classes of antibiotics. As all antibiotics at some point need to either cross or just interact with the bacterial membrane, there is a need for representative models of bacterial membranes and efficient methods to characterize the interactions with novel molecules -both to generate new knowledge and to screen compound libraries. Since the bacterial cell envelope is a complex assembly of lipids, lipopolysaccharides, membrane proteins and other components, constructing relevant synthetic liposome-based models of the membrane is both difficult and expensive. We here propose to let the bacteria do the hard work for us. Bacterial extracellular vesicles (bEVs) are naturally secreted by Gram-negative and Gram-positive bacteria, playing a role in communication between bacteria, as virulence factors, molecular transport or being a part of the antimicrobial resistance mechanism. bEVs consist of the bacterial outer membrane and thus inherit many components and properties of the native outer cell envelope. In this work, we have isolated and characterized bEVs from one Escherichia coli mutant and three clinical strains of the ESKAPE pathogens Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa. The bEVs were shown to be representative models for the bacterial membrane in terms of lipid composition with speciesstrain specific variations. The bEVs were further used to probe the interactions between bEV and antimicrobial peptides (AMPs) as model compounds by Surface Plasmon Resonance (SPR) and provide proof-of-principle that bEVs can be used as an easily accessible and highly realistic model for the bacterial surface in interaction studies. This further enables direct monitoring of the effect induced by antibiotics, or the response to host-pathogen interactions.

Keywords: Acinetobacter baumannii; Klebsiella pneumoniae; Pseudomonas aeruginosa; antimicrobial resistance; membrane interactions; native barriers; outer membrane vesicles; protein-lipid interactions.

Grants and funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article. The authors acknowledge research funding support from CANS Centre for New Antibacterial Strategies (TFS Grant No. 18_CANS_AS) at UIT The Arctic University of Norway, the Digital Life project DigiBiotics (ID 269425) granted by the Research Council of Norway as well as funding from NordForsk for the Nordic University Hub project #85352 (Nordic POP, Patient Oriented Products). The APC was covered by the open access publishing fund, UiT.