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Predicting drug resistance evolution: insights from antimicrobial peptides and antibiotics

Guozhi Yu, Desiree Baeder, Roland Regoes, Jens Rolff
doi: https://doi.org/10.1101/138107
Guozhi Yu
FU Berlin;
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Desiree Baeder
ETH Zurich
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Roland Regoes
ETH Zurich
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Jens Rolff
FU Berlin;
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  • For correspondence: jens.rolff@fu-berlin.de
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Abstract

AAntibiotic resistance constitutes one of the most pressing public health concerns. Antimicrobial peptides of multicellular organisms are considered part of a solution to this problem, and AMPs produced by bacteria such as colistin are last resort drugs. Importantly, antimicrobial peptides differ from many antibiotics in their pharmacodynamic characteristics. Here we implement these differences within a theoretical framework to predict the evolution of resistance against antimicrobial peptides and compare it to antibiotic resistance. Our analysis of resistance evolution finds that pharmacodynamic differences all combine to produce a much lower probability that resistance will evolve against antimicrobial peptides. The finding can be generalized to all drugs with pharmacodynamics similar to AMPs. Pharmacodynamic concepts are familiar to most practitioners of medical microbiology, and data can be easily obtained for any drug or drug combination. Our theoretical and conceptual framework is therefore widely applicable and can help avoid resistance evolution if implemented in antibiotic stewardship schemes or the rational choice of new drug candidates.

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The copyright holder for this preprint is the author/funder. All rights reserved. No reuse allowed without permission.
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  • Posted November 10, 2017.

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Predicting drug resistance evolution: insights from antimicrobial peptides and antibiotics
Guozhi Yu, Desiree Baeder, Roland Regoes, Jens Rolff
bioRxiv 138107; doi: https://doi.org/10.1101/138107
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Predicting drug resistance evolution: insights from antimicrobial peptides and antibiotics
Guozhi Yu, Desiree Baeder, Roland Regoes, Jens Rolff
bioRxiv 138107; doi: https://doi.org/10.1101/138107

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