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Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics

The lack of available treatments for many antimicrobial-resistant infections highlights the critical need for antibiotic discovery innovation. Peptides are an underappreciated antibiotic scaffold because they often suffer from proteolytic instability and toxicity toward human cells, making in vivo u...

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Autores principales: Randall, Justin R, Groover, Kyra E, O'Donnell, Angela C, Garza, Joseph M, Cole, T Jeffrey, Davies, Bryan W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449418/
https://www.ncbi.nlm.nih.gov/pubmed/37637199
http://dx.doi.org/10.1093/pnasnexus/pgad270
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author Randall, Justin R
Groover, Kyra E
O'Donnell, Angela C
Garza, Joseph M
Cole, T Jeffrey
Davies, Bryan W
author_facet Randall, Justin R
Groover, Kyra E
O'Donnell, Angela C
Garza, Joseph M
Cole, T Jeffrey
Davies, Bryan W
author_sort Randall, Justin R
collection PubMed
description The lack of available treatments for many antimicrobial-resistant infections highlights the critical need for antibiotic discovery innovation. Peptides are an underappreciated antibiotic scaffold because they often suffer from proteolytic instability and toxicity toward human cells, making in vivo use challenging. To investigate sequence factors related to serum activity, we adapt an antibacterial display technology to screen a library of peptide macrocycles for antibacterial potential directly in human serum. We identify dozens of new macrocyclic peptide antibiotic sequences and find that serum activity within our library is influenced by peptide length, cationic charge, and the number of disulfide bonds present. Interestingly, an optimized version of our most active lead peptide permeates the outer membrane of Gram-negative bacteria without strong inner-membrane disruption and kills bacteria slowly while causing cell elongation. This contrasts with traditional cationic antimicrobial peptides, which kill rapidly via lysis of both bacterial membranes. Notably, this optimized variant is not toxic to mammalian cells and retains its function in vivo, suggesting therapeutic promise. Our results support the use of more physiologically relevant conditions when screening peptides for antimicrobial activity which retain in vivo functionality.
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spelling pubmed-104494182023-08-25 Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics Randall, Justin R Groover, Kyra E O'Donnell, Angela C Garza, Joseph M Cole, T Jeffrey Davies, Bryan W PNAS Nexus Biological, Health, and Medical Sciences The lack of available treatments for many antimicrobial-resistant infections highlights the critical need for antibiotic discovery innovation. Peptides are an underappreciated antibiotic scaffold because they often suffer from proteolytic instability and toxicity toward human cells, making in vivo use challenging. To investigate sequence factors related to serum activity, we adapt an antibacterial display technology to screen a library of peptide macrocycles for antibacterial potential directly in human serum. We identify dozens of new macrocyclic peptide antibiotic sequences and find that serum activity within our library is influenced by peptide length, cationic charge, and the number of disulfide bonds present. Interestingly, an optimized version of our most active lead peptide permeates the outer membrane of Gram-negative bacteria without strong inner-membrane disruption and kills bacteria slowly while causing cell elongation. This contrasts with traditional cationic antimicrobial peptides, which kill rapidly via lysis of both bacterial membranes. Notably, this optimized variant is not toxic to mammalian cells and retains its function in vivo, suggesting therapeutic promise. Our results support the use of more physiologically relevant conditions when screening peptides for antimicrobial activity which retain in vivo functionality. Oxford University Press 2023-08-17 /pmc/articles/PMC10449418/ /pubmed/37637199 http://dx.doi.org/10.1093/pnasnexus/pgad270 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biological, Health, and Medical Sciences
Randall, Justin R
Groover, Kyra E
O'Donnell, Angela C
Garza, Joseph M
Cole, T Jeffrey
Davies, Bryan W
Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title_full Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title_fullStr Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title_full_unstemmed Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title_short Adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
title_sort adapting antibacterial display to identify serum-active macrocyclic peptide antibiotics
topic Biological, Health, and Medical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449418/
https://www.ncbi.nlm.nih.gov/pubmed/37637199
http://dx.doi.org/10.1093/pnasnexus/pgad270
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