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Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance

Antibiotic-induced perturbation of the human gut flora is expected to play an important role in mediating the relationship between antibiotic use and the population prevalence of antibiotic resistance in bacteria, but little is known about how antibiotics affect within-host resistance dynamics. Here...

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Autores principales: Niehus, Rene, van Kleef, Esther, Mo, Yin, Turlej-Rogacka, Agata, Lammens, Christine, Carmeli, Yehuda, Goossens, Herman, Tacconelli, Evelina, Carevic, Biljana, Preotescu, Liliana, Malhotra-Kumar, Surbhi, Cooper, Ben S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205461/
https://www.ncbi.nlm.nih.gov/pubmed/32379042
http://dx.doi.org/10.7554/eLife.49206
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author Niehus, Rene
van Kleef, Esther
Mo, Yin
Turlej-Rogacka, Agata
Lammens, Christine
Carmeli, Yehuda
Goossens, Herman
Tacconelli, Evelina
Carevic, Biljana
Preotescu, Liliana
Malhotra-Kumar, Surbhi
Cooper, Ben S
author_facet Niehus, Rene
van Kleef, Esther
Mo, Yin
Turlej-Rogacka, Agata
Lammens, Christine
Carmeli, Yehuda
Goossens, Herman
Tacconelli, Evelina
Carevic, Biljana
Preotescu, Liliana
Malhotra-Kumar, Surbhi
Cooper, Ben S
author_sort Niehus, Rene
collection PubMed
description Antibiotic-induced perturbation of the human gut flora is expected to play an important role in mediating the relationship between antibiotic use and the population prevalence of antibiotic resistance in bacteria, but little is known about how antibiotics affect within-host resistance dynamics. Here we develop a data-driven model of the within-host dynamics of extended-spectrum beta-lactamase (ESBL) producing Enterobacteriaceae. We use bla(CTX-M) (the most widespread ESBL gene family) and 16S rRNA (a proxy for bacterial load) abundance data from 833 rectal swabs from 133 ESBL-positive patients followed up in a prospective cohort study in three European hospitals. We find that cefuroxime and ceftriaxone are associated with increased bla(CTX-M) abundance during treatment (21% and 10% daily increase, respectively), while treatment with meropenem, piperacillin-tazobactam, and oral ciprofloxacin is associated with decreased bla(CTX-M) (8% daily decrease for all). The model predicts that typical antibiotic exposures can have substantial long-term effects on bla(CTX-M) carriage duration.
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spelling pubmed-72054612020-05-08 Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance Niehus, Rene van Kleef, Esther Mo, Yin Turlej-Rogacka, Agata Lammens, Christine Carmeli, Yehuda Goossens, Herman Tacconelli, Evelina Carevic, Biljana Preotescu, Liliana Malhotra-Kumar, Surbhi Cooper, Ben S eLife Epidemiology and Global Health Antibiotic-induced perturbation of the human gut flora is expected to play an important role in mediating the relationship between antibiotic use and the population prevalence of antibiotic resistance in bacteria, but little is known about how antibiotics affect within-host resistance dynamics. Here we develop a data-driven model of the within-host dynamics of extended-spectrum beta-lactamase (ESBL) producing Enterobacteriaceae. We use bla(CTX-M) (the most widespread ESBL gene family) and 16S rRNA (a proxy for bacterial load) abundance data from 833 rectal swabs from 133 ESBL-positive patients followed up in a prospective cohort study in three European hospitals. We find that cefuroxime and ceftriaxone are associated with increased bla(CTX-M) abundance during treatment (21% and 10% daily increase, respectively), while treatment with meropenem, piperacillin-tazobactam, and oral ciprofloxacin is associated with decreased bla(CTX-M) (8% daily decrease for all). The model predicts that typical antibiotic exposures can have substantial long-term effects on bla(CTX-M) carriage duration. eLife Sciences Publications, Ltd 2020-05-07 /pmc/articles/PMC7205461/ /pubmed/32379042 http://dx.doi.org/10.7554/eLife.49206 Text en © 2020, Niehus et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Niehus, Rene
van Kleef, Esther
Mo, Yin
Turlej-Rogacka, Agata
Lammens, Christine
Carmeli, Yehuda
Goossens, Herman
Tacconelli, Evelina
Carevic, Biljana
Preotescu, Liliana
Malhotra-Kumar, Surbhi
Cooper, Ben S
Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title_full Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title_fullStr Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title_full_unstemmed Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title_short Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
title_sort quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205461/
https://www.ncbi.nlm.nih.gov/pubmed/32379042
http://dx.doi.org/10.7554/eLife.49206
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