Literature DB >> 21835695

Beyond serial passages: new methods for predicting the emergence of resistance to novel antibiotics.

José Luis Martínez1, Fernando Baquero, Dan I Andersson.   

Abstract

Market launching of a new antibiotic requires knowing in advance its benefits and possible risks, and among them how rapidly resistance will emerge and spread among bacterial pathogens. This information is not only useful from a public health point of view, but also for pharmaceutical industry, in order to reduce potential waste of resources in the development of a compound that might be discontinued at the short term because of resistance development. Most assays currently used for predicting the emergence of resistance are based on culturing the target bacteria by serial passages in the presence of increasing concentrations of antibiotics. Whereas these assays may be valuable for identifying mutations that might cause resistance, they are not useful to establish how fast resistance might appear, neither to address the risk of spread of resistance genes by horizontal gene transfer. In this article, we review recent information pertinent for a more accurate prediction on the emergence and dispersal of antibiotic resistance.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21835695     DOI: 10.1016/j.coph.2011.07.005

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  28 in total

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Journal:  Antimicrob Agents Chemother       Date:  2014-04-28       Impact factor: 5.191

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9.  New Quinone Antibiotics against Methicillin-Resistant S. aureus.

Authors:  Javier Campanini-Salinas; Juan Andrades-Lagos; Nicolás Hinojosa; Fabián Moreno; Pedro Alarcón; Gerardo González-Rocha; Ian E Burbulis; David Vásquez-Velásquez
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10.  Development of quinoxaline 1, 4-dioxides resistance in Escherichia coli and molecular change under resistance selection.

Authors:  Wentao Guo; Haihong Hao; Menghong Dai; Yulian Wang; Lingli Huang; Dapeng Peng; Xu Wang; Hailan Wang; Min Yao; Yawei Sun; Zhenli Liu; Zonghui Yuan
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

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