A microfluidic platform for the characterisation of membrane active antimicrobials

Journal Article (2019)
Author(s)

K. Al Nahas (Cavendish Laboratory)

J. Cama (Cavendish Laboratory)

M. Schaich (Cavendish Laboratory)

K. Hammond (National Physical Laboratory)

S. Deshpande (Kavli institute of nanoscience Delft, TU Delft - Applied Sciences, TU Delft - Applied Sciences)

C. Dekker (TU Delft - Applied Sciences, TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

M. G. Ryadnov (National Physical Laboratory)

U. F. Keyser (Cavendish Laboratory)

Research Group
BN/Cees Dekker Lab
DOI related publication
https://doi.org/10.1039/c8lc00932e Final published version
More Info
expand_more
Publication Year
2019
Language
English
Research Group
BN/Cees Dekker Lab
Issue number
5
Volume number
19
Pages (from-to)
837-844
Downloads counter
347
Collections
Institutional Repository

Abstract

The spread of bacterial resistance against conventional antibiotics generates a great need for the discovery of novel antimicrobials. Polypeptide antibiotics constitute a promising class of antimicrobial agents that favour attack on bacterial membranes. However, efficient measurement platforms for evaluating their mechanisms of action in a systematic manner are lacking. Here we report an integrated lab-on-a-chip multilayer microfluidic platform to quantify the membranolytic efficacy of such antibiotics. The platform is a biomimetic vesicle-based screening assay, which generates giant unilamellar vesicles (GUVs) in physiologically relevant buffers on demand. Hundreds of these GUVs are individually immobilised downstream in physical traps connected to separate perfusion inlets that facilitate controlled antibiotic delivery. Antibiotic efficacy is expressed as a function of the time needed for an encapsulated dye to leak out of the GUVs as a result of antibiotic treatment. This proof-of-principle study probes the dose response of an archetypal polypeptide antibiotic cecropin B on GUVs mimicking bacterial membranes. The results of the study provide a foundation for engineering quantitative, high-throughput microfluidics devices for screening antibiotics.