Complexation between antimicrobial peptides and polyelectrolytes.

Antimicrobial peptide Complex Microgel Multilayer Polyelectrolyte

Journal

Advances in colloid and interface science
ISSN: 1873-3727
Titre abrégé: Adv Colloid Interface Sci
Pays: Netherlands
ID NLM: 8706645

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 11 05 2019
revised: 02 07 2019
accepted: 02 07 2019
pubmed: 14 7 2019
medline: 18 12 2019
entrez: 14 7 2019
Statut: ppublish

Résumé

As a result of increasing bacterial resistance against antibiotics, we are facing an emerging health crisis, in which 'simple' infections may no longer be treatable. One class of molecules attracting interest in this context is antimicrobial peptides (AMPs), and considerable research efforts have been directed to identifying selective and potent AMPs. In addition, since in vivo delivery of AMPs is challenging, there is an emerging awareness that successful development of AMP therapeutics can be facilitated by careful design of AMPs delivery systems. In the present overview, we discuss polyelectrolyte complexation as a strategy to deliver AMPs. In doing so, key factors for AMP-polyelectrolyte complexation are illustrated for AMP-polyelectrolyte nanoparticle formation, as well as for AMP incorporation in polyelectrolyte microgels and multilayer structures, and consequences of these for functional performance exemplified.

Identifiants

pubmed: 31301601
pii: S0001-8686(19)30173-3
doi: 10.1016/j.cis.2019.07.001
pii:
doi:

Substances chimiques

Antimicrobial Cationic Peptides 0
Polyelectrolytes 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

251-260

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Bruno C Borro (BC)

Department of Pharmacy, University of Copenhagen, DK-2100 Copenhagen, Denmark.

Martin Malmsten (M)

Department of Pharmacy, University of Copenhagen, DK-2100 Copenhagen, Denmark; Physical Chemistry 1, University of Lund, S-221 00 Lund, Sweden. Electronic address: martin.malmsten@sund.ku.dk.

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Classifications MeSH