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Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine
The rise of antimicrobial resistance (AMR) in bacterial pathogens is acknowledged by the WHO as a major global health crisis. It is estimated that in 2050 annually up to 10 million people will die from infections with drug resistant pathogens if no efficient countermeasures are implemented. Evolutio...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481325/ https://www.ncbi.nlm.nih.gov/pubmed/32983122 http://dx.doi.org/10.3389/fimmu.2020.01938 |
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author | Merker, Matthias Tueffers, Leif Vallier, Marie Groth, Espen E. Sonnenkalb, Lindsay Unterweger, Daniel Baines, John F. Niemann, Stefan Schulenburg, Hinrich |
author_facet | Merker, Matthias Tueffers, Leif Vallier, Marie Groth, Espen E. Sonnenkalb, Lindsay Unterweger, Daniel Baines, John F. Niemann, Stefan Schulenburg, Hinrich |
author_sort | Merker, Matthias |
collection | PubMed |
description | The rise of antimicrobial resistance (AMR) in bacterial pathogens is acknowledged by the WHO as a major global health crisis. It is estimated that in 2050 annually up to 10 million people will die from infections with drug resistant pathogens if no efficient countermeasures are implemented. Evolution of pathogens lies at the core of this crisis, which enables rapid adaptation to the selective pressures imposed by antimicrobial usage in both medical treatment and agriculture, consequently promoting the spread of resistance genes or alleles in bacterial populations. Approaches developed in the field of Evolutionary Medicine attempt to exploit evolutionary insight into these adaptive processes, with the aim to improve diagnostics and the sustainability of antimicrobial therapy. Here, we review the concept of evolutionary trade-offs in the development of AMR as well as new therapeutic approaches and their impact on host-microbiome-pathogen interactions. We further discuss the possible translation of evolution-informed treatments into clinical practice, considering both the rapid cure of the individual patients and the prevention of AMR. |
format | Online Article Text |
id | pubmed-7481325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74813252020-09-24 Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine Merker, Matthias Tueffers, Leif Vallier, Marie Groth, Espen E. Sonnenkalb, Lindsay Unterweger, Daniel Baines, John F. Niemann, Stefan Schulenburg, Hinrich Front Immunol Immunology The rise of antimicrobial resistance (AMR) in bacterial pathogens is acknowledged by the WHO as a major global health crisis. It is estimated that in 2050 annually up to 10 million people will die from infections with drug resistant pathogens if no efficient countermeasures are implemented. Evolution of pathogens lies at the core of this crisis, which enables rapid adaptation to the selective pressures imposed by antimicrobial usage in both medical treatment and agriculture, consequently promoting the spread of resistance genes or alleles in bacterial populations. Approaches developed in the field of Evolutionary Medicine attempt to exploit evolutionary insight into these adaptive processes, with the aim to improve diagnostics and the sustainability of antimicrobial therapy. Here, we review the concept of evolutionary trade-offs in the development of AMR as well as new therapeutic approaches and their impact on host-microbiome-pathogen interactions. We further discuss the possible translation of evolution-informed treatments into clinical practice, considering both the rapid cure of the individual patients and the prevention of AMR. Frontiers Media S.A. 2020-08-27 /pmc/articles/PMC7481325/ /pubmed/32983122 http://dx.doi.org/10.3389/fimmu.2020.01938 Text en Copyright © 2020 Merker, Tueffers, Vallier, Groth, Sonnenkalb, Unterweger, Baines, Niemann and Schulenburg. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 | Immunology Merker, Matthias Tueffers, Leif Vallier, Marie Groth, Espen E. Sonnenkalb, Lindsay Unterweger, Daniel Baines, John F. Niemann, Stefan Schulenburg, Hinrich Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title | Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title_full | Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title_fullStr | Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title_full_unstemmed | Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title_short | Evolutionary Approaches to Combat Antibiotic Resistance: Opportunities and Challenges for Precision Medicine |
title_sort | evolutionary approaches to combat antibiotic resistance: opportunities and challenges for precision medicine |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481325/ https://www.ncbi.nlm.nih.gov/pubmed/32983122 http://dx.doi.org/10.3389/fimmu.2020.01938 |
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