Document Type
Article
Publication Date
1-27-2016
Keywords
Combinatorial library Cyclic lipopeptides Biofilm Porcine model Resistance Toxicity
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.ejmech.2015.11.032
Abstract
Treating bacterial infections can be difficult due to innate or acquired resistance mechanisms, and the formation of biofilms. Cyclic lipopeptides derived from fusaricidin/LI-F natural products represent particularly attractive candidates for the development of new antibacterial and antibiofilm agents, with the potential to meet the challenge of bacterial resistance to antibiotics. A positional-scanning combinatorial approach was used to identify the amino acid residues responsible for driving antibacterial activity, and increase the potency of these cyclic lipopeptides. Screening against the antibiotic resistant ESKAPE pathogens revealed the importance of hydrophobic as well as positively charged amino acid residues for activity of this class of peptides. The improvement in potency was especially evident against bacterial biofilms, since the lead cyclic lipopeptide showed promising in vitro and in vivo anti-biofilm activity at the concentration far below its respective MICs. Importantly, structural changes resulting in a more hydrophobic and positively charged analog did not lead to an increase in toxicity toward human cells.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
European Journal of Medicinal Chemistry, v. 108, p. 354-363
This article is the post-print author version.
Under a Creative Commons license.
Scholar Commons Citation
Bionda, Nina; Fleeman, Renee M.; de la Fuente-Núñez, César; Rodriguez, Maria C.; Reffuveille, Fany; Shaw, Lindsey N.; Pastar, Irena; Davis, Stephen C; Hancock, Robert E W; and Cudic, Predrag, "Identification of Novel Cyclic Lipopeptides from a Positional Scanning Combinatorial Library with Enhanced Antibacterial and Antibiofilm Activities" (2016). Molecular Biosciences Faculty Publications. 32.
https://digitalcommons.usf.edu/bcm_facpub/32