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Resistance-resistant antibacterial treatment strategies
Antibiotic resistance is a major danger to public health that threatens to claim the lives of millions of people per year within the next few decades. Years of necessary administration and excessive application of antibiotics have selected for strains that are resistant to many of our currently avai...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954795/ https://www.ncbi.nlm.nih.gov/pubmed/36845830 http://dx.doi.org/10.3389/frabi.2023.1093156 |
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author | Batchelder, Jonathan I. Hare, Patricia J. Mok, Wendy W. K. |
author_facet | Batchelder, Jonathan I. Hare, Patricia J. Mok, Wendy W. K. |
author_sort | Batchelder, Jonathan I. |
collection | PubMed |
description | Antibiotic resistance is a major danger to public health that threatens to claim the lives of millions of people per year within the next few decades. Years of necessary administration and excessive application of antibiotics have selected for strains that are resistant to many of our currently available treatments. Due to the high costs and difficulty of developing new antibiotics, the emergence of resistant bacteria is outpacing the introduction of new drugs to fight them. To overcome this problem, many researchers are focusing on developing antibacterial therapeutic strategies that are “resistance-resistant”—regimens that slow or stall resistance development in the targeted pathogens. In this mini review, we outline major examples of novel resistance-resistant therapeutic strategies. We discuss the use of compounds that reduce mutagenesis and thereby decrease the likelihood of resistance emergence. Then, we examine the effectiveness of antibiotic cycling and evolutionary steering, in which a bacterial population is forced by one antibiotic toward susceptibility to another antibiotic. We also consider combination therapies that aim to sabotage defensive mechanisms and eliminate potentially resistant pathogens by combining two antibiotics or combining an antibiotic with other therapeutics, such as antibodies or phages. Finally, we highlight promising future directions in this field, including the potential of applying machine learning and personalized medicine to fight antibiotic resistance emergence and out-maneuver adaptive pathogens. |
format | Online Article Text |
id | pubmed-9954795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-99547952023-02-24 Resistance-resistant antibacterial treatment strategies Batchelder, Jonathan I. Hare, Patricia J. Mok, Wendy W. K. Front Antibiot Article Antibiotic resistance is a major danger to public health that threatens to claim the lives of millions of people per year within the next few decades. Years of necessary administration and excessive application of antibiotics have selected for strains that are resistant to many of our currently available treatments. Due to the high costs and difficulty of developing new antibiotics, the emergence of resistant bacteria is outpacing the introduction of new drugs to fight them. To overcome this problem, many researchers are focusing on developing antibacterial therapeutic strategies that are “resistance-resistant”—regimens that slow or stall resistance development in the targeted pathogens. In this mini review, we outline major examples of novel resistance-resistant therapeutic strategies. We discuss the use of compounds that reduce mutagenesis and thereby decrease the likelihood of resistance emergence. Then, we examine the effectiveness of antibiotic cycling and evolutionary steering, in which a bacterial population is forced by one antibiotic toward susceptibility to another antibiotic. We also consider combination therapies that aim to sabotage defensive mechanisms and eliminate potentially resistant pathogens by combining two antibiotics or combining an antibiotic with other therapeutics, such as antibodies or phages. Finally, we highlight promising future directions in this field, including the potential of applying machine learning and personalized medicine to fight antibiotic resistance emergence and out-maneuver adaptive pathogens. 2023 2023-01-30 /pmc/articles/PMC9954795/ /pubmed/36845830 http://dx.doi.org/10.3389/frabi.2023.1093156 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Article Batchelder, Jonathan I. Hare, Patricia J. Mok, Wendy W. K. Resistance-resistant antibacterial treatment strategies |
title | Resistance-resistant antibacterial treatment strategies |
title_full | Resistance-resistant antibacterial treatment strategies |
title_fullStr | Resistance-resistant antibacterial treatment strategies |
title_full_unstemmed | Resistance-resistant antibacterial treatment strategies |
title_short | Resistance-resistant antibacterial treatment strategies |
title_sort | resistance-resistant antibacterial treatment strategies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954795/ https://www.ncbi.nlm.nih.gov/pubmed/36845830 http://dx.doi.org/10.3389/frabi.2023.1093156 |
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