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Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations

Antibiotics are notable weapons in fighting bacteria. Nowadays, however, the effectiveness of antibiotics is severely hindered by the increasing levels of antibiotic resistances in pathogenic bacterial populations, which can persist due to the selective pressure caused by antibiotic exposure. Arguab...

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Detalles Bibliográficos
Autores principales: David, Pedro H C, Sá-Pinto, Xana, Nogueira, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200973/
https://www.ncbi.nlm.nih.gov/pubmed/32395623
http://dx.doi.org/10.1093/biomethods/bpz004
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author David, Pedro H C
Sá-Pinto, Xana
Nogueira, Teresa
author_facet David, Pedro H C
Sá-Pinto, Xana
Nogueira, Teresa
author_sort David, Pedro H C
collection PubMed
description Antibiotics are notable weapons in fighting bacteria. Nowadays, however, the effectiveness of antibiotics is severely hindered by the increasing levels of antibiotic resistances in pathogenic bacterial populations, which can persist due to the selective pressure caused by antibiotic exposure. Arguably, the main cause of antibiotic resistances endurance in nature is antibiotic misuse, such as via overusing, inappropriate prescribing as well as the uncontrolled use in agriculture and livestock. There is also a lack of knowledge on appropriate antibiotic usage by the general public. Public scientific literacy and more research on therapeutic practices are fundamental to tackle this problem. Here, we present SimulATe a software which allows the simulation of the effects of antibiotic therapies on bacterial populations during human infections. This software can be used to develop students’ scientific literacy, using infections and antibiotic treatments as context to engage students in scientific practices, and discussions on antibiotic treatment onset and duration or on its use in immunosuppressed or critically ill individuals. SimulATe’s features also allow it to be used for research purposes allowing the simulation of real scenarios and exploration of their outcomes across the parameters’ landscape.
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spelling pubmed-72009732020-05-11 Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations David, Pedro H C Sá-Pinto, Xana Nogueira, Teresa Biol Methods Protoc Methods Manuscript Antibiotics are notable weapons in fighting bacteria. Nowadays, however, the effectiveness of antibiotics is severely hindered by the increasing levels of antibiotic resistances in pathogenic bacterial populations, which can persist due to the selective pressure caused by antibiotic exposure. Arguably, the main cause of antibiotic resistances endurance in nature is antibiotic misuse, such as via overusing, inappropriate prescribing as well as the uncontrolled use in agriculture and livestock. There is also a lack of knowledge on appropriate antibiotic usage by the general public. Public scientific literacy and more research on therapeutic practices are fundamental to tackle this problem. Here, we present SimulATe a software which allows the simulation of the effects of antibiotic therapies on bacterial populations during human infections. This software can be used to develop students’ scientific literacy, using infections and antibiotic treatments as context to engage students in scientific practices, and discussions on antibiotic treatment onset and duration or on its use in immunosuppressed or critically ill individuals. SimulATe’s features also allow it to be used for research purposes allowing the simulation of real scenarios and exploration of their outcomes across the parameters’ landscape. Oxford University Press 2019-05-29 /pmc/articles/PMC7200973/ /pubmed/32395623 http://dx.doi.org/10.1093/biomethods/bpz004 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Manuscript
David, Pedro H C
Sá-Pinto, Xana
Nogueira, Teresa
Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title_full Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title_fullStr Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title_full_unstemmed Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title_short Using SimulATe to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
title_sort using simulate to model the effects of antibiotic selective pressure on the dynamics of pathogenic bacterial populations
topic Methods Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200973/
https://www.ncbi.nlm.nih.gov/pubmed/32395623
http://dx.doi.org/10.1093/biomethods/bpz004
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