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Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance
Accurate assessment of antibiotic susceptibility is critical for treatment of antimicrobial resistant (AMR) infections. Here, we examine whether antimicrobial susceptibility testing in media more physiologically representative of in vivo conditions improves prediction of clinical outcome relative to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213814/ https://www.ncbi.nlm.nih.gov/pubmed/37116500 http://dx.doi.org/10.1016/j.xcrm.2023.101023 |
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author | Heithoff, Douglas M. Barnes V, Lucien Mahan, Scott P. Fried, Jeffrey C. Fitzgibbons, Lynn N. House, John K. Mahan, Michael J. |
author_facet | Heithoff, Douglas M. Barnes V, Lucien Mahan, Scott P. Fried, Jeffrey C. Fitzgibbons, Lynn N. House, John K. Mahan, Michael J. |
author_sort | Heithoff, Douglas M. |
collection | PubMed |
description | Accurate assessment of antibiotic susceptibility is critical for treatment of antimicrobial resistant (AMR) infections. Here, we examine whether antimicrobial susceptibility testing in media more physiologically representative of in vivo conditions improves prediction of clinical outcome relative to standard bacteriologic medium. This analysis reveals that ∼15% of minimum inhibitory concentration (MIC) values obtained in physiologic media predicted a change in susceptibility that crossed a clinical breakpoint used to categorize patient isolates as susceptible or resistant. The activities of antibiotics having discrepant results in different media were evaluated in murine sepsis models. Testing in cell culture medium improves the accuracy by which MIC assays predict in vivo efficacy. This analysis identifies several antibiotics for treatment of AMR infections that standard testing failed to identify and those that are ineffective despite indicated use by standard testing. Methods with increased diagnostic accuracy mitigate the AMR crisis via utilizing existing agents and optimizing drug discovery. |
format | Online Article Text |
id | pubmed-10213814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102138142023-05-27 Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance Heithoff, Douglas M. Barnes V, Lucien Mahan, Scott P. Fried, Jeffrey C. Fitzgibbons, Lynn N. House, John K. Mahan, Michael J. Cell Rep Med Report Accurate assessment of antibiotic susceptibility is critical for treatment of antimicrobial resistant (AMR) infections. Here, we examine whether antimicrobial susceptibility testing in media more physiologically representative of in vivo conditions improves prediction of clinical outcome relative to standard bacteriologic medium. This analysis reveals that ∼15% of minimum inhibitory concentration (MIC) values obtained in physiologic media predicted a change in susceptibility that crossed a clinical breakpoint used to categorize patient isolates as susceptible or resistant. The activities of antibiotics having discrepant results in different media were evaluated in murine sepsis models. Testing in cell culture medium improves the accuracy by which MIC assays predict in vivo efficacy. This analysis identifies several antibiotics for treatment of AMR infections that standard testing failed to identify and those that are ineffective despite indicated use by standard testing. Methods with increased diagnostic accuracy mitigate the AMR crisis via utilizing existing agents and optimizing drug discovery. Elsevier 2023-04-27 /pmc/articles/PMC10213814/ /pubmed/37116500 http://dx.doi.org/10.1016/j.xcrm.2023.101023 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Report Heithoff, Douglas M. Barnes V, Lucien Mahan, Scott P. Fried, Jeffrey C. Fitzgibbons, Lynn N. House, John K. Mahan, Michael J. Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title | Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title_full | Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title_fullStr | Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title_full_unstemmed | Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title_short | Re-evaluation of FDA-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
title_sort | re-evaluation of fda-approved antibiotics with increased diagnostic accuracy for assessment of antimicrobial resistance |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213814/ https://www.ncbi.nlm.nih.gov/pubmed/37116500 http://dx.doi.org/10.1016/j.xcrm.2023.101023 |
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