Antimicrobial susceptibility testing of antimicrobial peptides to better predict efficacy
College
College of Science
Department/Unit
Chemistry
Document Type
Article
Source Title
Frontiers in cellular and infection microbiology
Volume
10
First Page
1
Last Page
34
Publication Date
7-2020
Abstract
During the development of antimicrobial peptides (AMP) as potential therapeutics, antimicrobial susceptibility testing (AST) stands as an essential part of the process in identification and optimization of candidate AMP. Standard methods for AST, developed almost 60 years ago for testing conventional antibiotics, are not necessarily fit for purpose when it comes to determining the susceptibility of microorganisms to AMP. Without careful consideration of the parameters comprising AST there is a risk of failing to identify novel antimicrobials at a time when antimicrobial resistance (AMR) is leading the planet toward a post-antibiotic era. More physiologically/clinically relevant AST will allow better determination of the preclinical activity of drug candidates and allow the identification of lead compounds. An important consideration is the efficacy of AMP in biological matrices replicating sites of infection, e.g., blood/plasma/serum, lung bronchiolar lavage fluid/sputum, urine, biofilms, etc., as this will likely be more predictive of clinical efficacy. Additionally, specific AST for different target microorganisms may help to better predict efficacy of AMP in specific infections. In this manuscript, we describe what we believe are the key considerations for AST of AMP and hope that this information can better guide the preclinical development of AMP toward becoming a new generation of urgently needed antimicrobials.
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Digitial Object Identifier (DOI)
10.3389/fcimb.2020.00326
Recommended Citation
Mercer, D. K., Torres, M. D., Duay, S. S., Lovie, E., Simpson, L., von Köckritz-Blickwede, M., De la Fuente-Nunez, C., O’Neil, D. A., & Angeles-Boza, A. M. (2020). Antimicrobial susceptibility testing of antimicrobial peptides to better predict efficacy. Frontiers in cellular and infection microbiology, 10, 1-34. https://doi.org/10.3389/fcimb.2020.00326
Disciplines
Chemistry
Keywords
Peptide antibiotics; Microbial sensitivity tests
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