Literature DB >> 20208551

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

Dan I Andersson1, Diarmaid Hughes.   

Abstract

Most antibiotic resistance mechanisms are associated with a fitness cost that is typically observed as a reduced bacterial growth rate. The magnitude of this cost is the main biological parameter that influences the rate of development of resistance, the stability of the resistance and the rate at which the resistance might decrease if antibiotic use were reduced. These findings suggest that the fitness costs of resistance will allow susceptible bacteria to outcompete resistant bacteria if the selective pressure from antibiotics is reduced. Unfortunately, the available data suggest that the rate of reversibility will be slow at the community level. Here, we review the factors that influence the fitness costs of antibiotic resistance, the ways by which bacteria can reduce these costs and the possibility of exploiting them.

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Year:  2010        PMID: 20208551     DOI: 10.1038/nrmicro2319

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


  136 in total

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Journal:  Lancet       Date:  2001-04-28       Impact factor: 79.321

10.  Fitness cost of VanA-type vancomycin resistance in methicillin-resistant Staphylococcus aureus.

Authors:  Marie-Laure Foucault; Patrice Courvalin; Catherine Grillot-Courvalin
Journal:  Antimicrob Agents Chemother       Date:  2009-03-30       Impact factor: 5.191

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  605 in total

1.  Effects of sequential and simultaneous applications of bacteriophages on populations of Pseudomonas aeruginosa in vitro and in wax moth larvae.

Authors:  Alex R Hall; Daniel De Vos; Ville-Petri Friman; Jean-Paul Pirnay; Angus Buckling
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

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Authors:  Sorin Tanase-Nicola; Ilya Nemenman
Journal:  J R Soc Interface       Date:  2011-11-23       Impact factor: 4.118

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Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

4.  ICESp2905, the erm(TR)-tet(O) element of Streptococcus pyogenes, is formed by two independent integrative and conjugative elements.

Authors:  Eleonora Giovanetti; Andrea Brenciani; Erika Tiberi; Alessandro Bacciaglia; Pietro Emanuele Varaldo
Journal:  Antimicrob Agents Chemother       Date:  2011-10-10       Impact factor: 5.191

5.  Multidrug therapy and evolution of antibiotic resistance: when order matters.

Authors:  Gabriel G Perron; Sergey Kryazhimskiy; Daniel P Rice; Angus Buckling
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

Review 6.  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 7.  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

8.  Do we need new antibiotics? The search for new targets and new compounds.

Authors:  Jaroslav Spížek; Jitka Novotná; Tomáš Rezanka; Arnold L Demain
Journal:  J Ind Microbiol Biotechnol       Date:  2010-11-18       Impact factor: 3.346

9.  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

10.  Metabolic compensation of fitness costs associated with overexpression of the multidrug efflux pump MexEF-OprN in Pseudomonas aeruginosa.

Authors:  Jorge Olivares; Carolina Álvarez-Ortega; José Luis Martinez
Journal:  Antimicrob Agents Chemother       Date:  2014-04-28       Impact factor: 5.191

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