Literature DB >> 18007678

Predicting antibiotic resistance.

José L Martínez1, Fernando Baquero, Dan I Andersson.   

Abstract

The treatment of bacterial infections is increasingly complicated because microorganisms can develop resistance to antimicrobial agents. This article discusses the information that is required to predict when antibiotic resistance is likely to emerge in a bacterial population. Indeed, the development of the conceptual and methodological tools required for this type of prediction represents an important goal for microbiological research. To this end, we propose the establishment of methodological guidelines that will allow researchers to predict the emergence of resistance to a new antibiotic before its clinical introduction.

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Year:  2007        PMID: 18007678     DOI: 10.1038/nrmicro1796

Source DB:  PubMed          Journal:  Nat Rev Microbiol        ISSN: 1740-1526            Impact factor:   60.633


  96 in total

1.  Bacterial recombination promotes the evolution of multi-drug-resistance in functionally diverse populations.

Authors:  Gabriel G Perron; Alexander E G Lee; Yun Wang; Wei E Huang; Timothy G Barraclough
Journal:  Proc Biol Sci       Date:  2011-11-02       Impact factor: 5.349

Review 2.  Origins and evolution of antibiotic resistance.

Authors:  Julian Davies; Dorothy Davies
Journal:  Microbiol Mol Biol Rev       Date:  2010-09       Impact factor: 11.056

3.  Microbiology: Altruistic defence.

Authors:  Hyun Youk; Alexander van Oudenaarden
Journal:  Nature       Date:  2010-09-02       Impact factor: 49.962

Review 4.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

Review 5.  Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest.

Authors:  Cristina Lanzas; Zhao Lu; Yrjo T Gröhn
Journal:  Foodborne Pathog Dis       Date:  2010-11-02       Impact factor: 3.171

Review 6.  Doomsday postponed? Preventing and reversing epidemics of drug-resistant tuberculosis.

Authors:  Christopher Dye
Journal:  Nat Rev Microbiol       Date:  2009-01       Impact factor: 60.633

7.  Drug interactions modulate the potential for evolution of resistance.

Authors:  Jean-Baptiste Michel; Pamela J Yeh; Remy Chait; Robert C Moellering; Roy Kishony
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-24       Impact factor: 11.205

8.  Mutational events in cefotaximase extended-spectrum beta-lactamases of the CTX-M-1 cluster involved in ceftazidime resistance.

Authors:  Angela Novais; Rafael Cantón; Teresa M Coque; Andrés Moya; Fernando Baquero; Juan Carlos Galán
Journal:  Antimicrob Agents Chemother       Date:  2008-04-28       Impact factor: 5.191

Review 9.  Antibiotic resistance and its cost: is it possible to reverse resistance?

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  Nat Rev Microbiol       Date:  2010-03-08       Impact factor: 60.633

10.  The innate growth bistability and fitness landscapes of antibiotic-resistant bacteria.

Authors:  J Barrett Deris; Minsu Kim; Zhongge Zhang; Hiroyuki Okano; Rutger Hermsen; Alexander Groisman; Terence Hwa
Journal:  Science       Date:  2013-11-29       Impact factor: 47.728

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