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A mathematical model to guide antibiotic treatment strategies

Over the past few decades, the emergence of multidrug resistance (MDR) to antibiotics in bacteria has led to major difficulties in the management of infected patients. At present, there is a serious lack of development of new antibacterial agents. Mathematical models are one approach to understand h...

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Detalles Bibliográficos
Autores principales: Sotto, Albert, Lavigne, Jean-Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425132/
https://www.ncbi.nlm.nih.gov/pubmed/22889115
http://dx.doi.org/10.1186/1741-7015-10-90
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author Sotto, Albert
Lavigne, Jean-Philippe
author_facet Sotto, Albert
Lavigne, Jean-Philippe
author_sort Sotto, Albert
collection PubMed
description Over the past few decades, the emergence of multidrug resistance (MDR) to antibiotics in bacteria has led to major difficulties in the management of infected patients. At present, there is a serious lack of development of new antibacterial agents. Mathematical models are one approach to understand how antibiotic usage patterns may be optimized. However, the classical approach to modeling the emergence of MDR relies on the simplifying assumption that resistance is acquired at a constant rate. In their model, Obolski and Hadany introduce the notion of horizontal gene transfer and stress-induced mutation, with antibiotics constituting an environmental stressor of particular relevance. Finally, from this complex mathematical model, the authors propose predictions for minimizing MDR in bacteria depending on strategies of antibiotic treatment. Please see related article: http://www.biomedcentral.com/1741-7015/10/89
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spelling pubmed-34251322012-08-23 A mathematical model to guide antibiotic treatment strategies Sotto, Albert Lavigne, Jean-Philippe BMC Med Commentary Over the past few decades, the emergence of multidrug resistance (MDR) to antibiotics in bacteria has led to major difficulties in the management of infected patients. At present, there is a serious lack of development of new antibacterial agents. Mathematical models are one approach to understand how antibiotic usage patterns may be optimized. However, the classical approach to modeling the emergence of MDR relies on the simplifying assumption that resistance is acquired at a constant rate. In their model, Obolski and Hadany introduce the notion of horizontal gene transfer and stress-induced mutation, with antibiotics constituting an environmental stressor of particular relevance. Finally, from this complex mathematical model, the authors propose predictions for minimizing MDR in bacteria depending on strategies of antibiotic treatment. Please see related article: http://www.biomedcentral.com/1741-7015/10/89 BioMed Central 2012-08-13 /pmc/articles/PMC3425132/ /pubmed/22889115 http://dx.doi.org/10.1186/1741-7015-10-90 Text en Copyright ©2012 Sotto and Lavigne; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Sotto, Albert
Lavigne, Jean-Philippe
A mathematical model to guide antibiotic treatment strategies
title A mathematical model to guide antibiotic treatment strategies
title_full A mathematical model to guide antibiotic treatment strategies
title_fullStr A mathematical model to guide antibiotic treatment strategies
title_full_unstemmed A mathematical model to guide antibiotic treatment strategies
title_short A mathematical model to guide antibiotic treatment strategies
title_sort mathematical model to guide antibiotic treatment strategies
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425132/
https://www.ncbi.nlm.nih.gov/pubmed/22889115
http://dx.doi.org/10.1186/1741-7015-10-90
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