Bacterial lipase triggers the release of antibiotics from digestible liquid crystal nanoparticles
Date
2020
Authors
Thorn, C.R.
Clulow, A.J.
Boyd, B.J.
Prestidge, C.A.
Thomas, N.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Journal of Controlled Release, 2020; 319:168-182
Statement of Responsibility
Conference Name
Abstract
In the advent of the post-antibiotic era, new strategies are urgently required to improve the efficacy of antimicrobials and outsmart multi-drug resistant bacteria. Exploiting a basic survival mechanism of bacteria, lipase production, monoolein liquid crystal nanoparticles (MO-LCNPs) were investigated as a bacterial-triggered drug delivery system for three different antimicrobial compounds and compared with model sn-1/3 regiospecific and non-regiospecific lipases via pH-stat titration, proton nuclear magnetic resonance and in situ synchrotron small-angle X-ray scattering. The release of model hydrophobic (rifampicin) and macromolecular (alginate lyase) antimicrobials were triggered from MO-LCNPs at 82-fold and 7-fold higher rates (respectively) due to bacterial lipase digestion of MO-LCNPs, which could not be stimulated with a small hydrophilic antibiotic (ciprofloxacin HCl) or non-digestible, phytantriol-LCNPs. While sn-1/3 regiospecific lipase rapidly digested MO-LCNPs in a two-phase process, the single-phase digestion kinetics of the non-regiospecific lipase steadily digested the cubic Im3m structure and gave rise to lamellar structures that ultimately stimulated the triggered antibiotic release. Accordingly, MO-LCNPs have an application for localised Pseudomonas aeruginosa and Staphylococcus aureus infections that produce non-regiospecific lipases and for concentration-dependent antibiotics that have macromolecular (MW ~ 30 kDa) or hydrophobic (logP ~ 4) chemistries, as a triggered bolus release would be clinically efficacious for improved bacterial eradication.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2020 Elsevier