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Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection

Conventional antimicrobial susceptibility tests, including phenotypic and genotypic methods, are insufficiently accurate and frequently fail to identify effective antibiotics. These methods predominantly select therapies based on the antibiotic response of only the lead bacterial pathogen within pur...

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Detalles Bibliográficos
Autores principales: Tetz, George, Tetz, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781420/
https://www.ncbi.nlm.nih.gov/pubmed/36557636
http://dx.doi.org/10.3390/microorganisms10122383
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author Tetz, George
Tetz, Victor
author_facet Tetz, George
Tetz, Victor
author_sort Tetz, George
collection PubMed
description Conventional antimicrobial susceptibility tests, including phenotypic and genotypic methods, are insufficiently accurate and frequently fail to identify effective antibiotics. These methods predominantly select therapies based on the antibiotic response of only the lead bacterial pathogen within pure bacterial culture. However, this neglects the fact that, in the majority of human infections, the lead bacterial pathogens are present as a part of multispecies communities that modulate the response of these lead pathogens to antibiotics and that multiple pathogens can contribute to the infection simultaneously. This discrepancy is a major cause of the failure of antimicrobial susceptibility tests to detect antibiotics that are effective in vivo. This review article provides a comprehensive overview of the factors that are missed by conventional antimicrobial susceptibility tests and it explains how accounting for these methods can aid the development of novel diagnostic approaches.
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spelling pubmed-97814202022-12-24 Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection Tetz, George Tetz, Victor Microorganisms Review Conventional antimicrobial susceptibility tests, including phenotypic and genotypic methods, are insufficiently accurate and frequently fail to identify effective antibiotics. These methods predominantly select therapies based on the antibiotic response of only the lead bacterial pathogen within pure bacterial culture. However, this neglects the fact that, in the majority of human infections, the lead bacterial pathogens are present as a part of multispecies communities that modulate the response of these lead pathogens to antibiotics and that multiple pathogens can contribute to the infection simultaneously. This discrepancy is a major cause of the failure of antimicrobial susceptibility tests to detect antibiotics that are effective in vivo. This review article provides a comprehensive overview of the factors that are missed by conventional antimicrobial susceptibility tests and it explains how accounting for these methods can aid the development of novel diagnostic approaches. MDPI 2022-11-30 /pmc/articles/PMC9781420/ /pubmed/36557636 http://dx.doi.org/10.3390/microorganisms10122383 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tetz, George
Tetz, Victor
Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title_full Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title_fullStr Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title_full_unstemmed Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title_short Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection
title_sort overcoming antibiotic resistance with novel paradigms of antibiotic selection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781420/
https://www.ncbi.nlm.nih.gov/pubmed/36557636
http://dx.doi.org/10.3390/microorganisms10122383
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