bioRxivMolecular BiologyPreprint
Outer membrane vesicles as realistic models of bacterial membranes in interaction studies by Surface Plasmon Resonance
Maxim S. Bril’koviD, Victoria Stenbakk, Martin JakubeciD, Terje Vasskog, Tone KristofferseniD, Jorunn Pauline CavanaghiD, Johanna U. EricsoniD, Johan Mattias IsakssoniD, Gøril Eide FlateniD
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 needs to either cross or interact with the bacterial membrane, there is a need for representative models of bacterial membranes and efficient methods to characterize the interactions to novel antimicrobials - 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 realistic 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. Outer membrane vesicles (OMVs) are naturally secreted by Gram-negative bacteria, playing a role in communication between bacteria, as virulence factors, molecular transport or being a part of the antimicrobial resistance mechanism. OMVs 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 OMVs from E. coli mutant strains and clinical isolates of the ESKAPE members Klebsiella pneumoniae, Acinetobacter baumannii and Pseudomonas aeruginosa. The OMVs were shown to be representative models for the bacterial membrane in terms of lipid composition with strain specific variations. The OMVs were further used to probe the interactions between OMV and antimicrobial peptides (AMPs) as model compounds by Surface Plasmon Resonance (SPR) and provide proof-of-principle that OMVs 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 of induction by antibiotics, or the response to host-pathogen interactions.
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