Literature DB >> 16809538

The competitive cost of antibiotic resistance in Mycobacterium tuberculosis.

Sebastien Gagneux1, Clara Davis Long, Peter M Small, Tran Van, Gary K Schoolnik, Brendan J M Bohannan.   

Abstract

Mathematical models predict that the future of the multidrug-resistant tuberculosis epidemic will depend on the fitness cost of drug resistance. We show that in laboratory-derived mutants of Mycobacterium tuberculosis, rifampin resistance is universally associated with a competitive fitness cost and that this cost is determined by the specific resistance mutation and strain genetic background. In contrast, we demonstrate that prolonged patient treatment can result in multidrug-resistant strains with no fitness defect and that strains with low- or no-cost resistance mutations are also the most frequent among clinical isolates.

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Year:  2006        PMID: 16809538     DOI: 10.1126/science.1124410

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  268 in total

1.  Dose-ranging comparison of rifampin and rifapentine in two pathologically distinct murine models of tuberculosis.

Authors:  Ian M Rosenthal; Rokeya Tasneen; Charles A Peloquin; Ming Zhang; Deepak Almeida; Khisimuzi E Mdluli; Petros C Karakousis; Jacques H Grosset; Eric L Nuermberger
Journal:  Antimicrob Agents Chemother       Date:  2012-06-04       Impact factor: 5.191

2.  Models to understand the population-level impact of mixed strain M. tuberculosis infections.

Authors:  Rinat Sergeev; Caroline Colijn; Ted Cohen
Journal:  J Theor Biol       Date:  2011-04-16       Impact factor: 2.691

3.  The optimal deployment of synergistic antibiotics: a control-theoretic approach.

Authors:  Rafael Peña-Miller; David Lähnemann; Hinrich Schulenburg; Martin Ackermann; Robert Beardmore
Journal:  J R Soc Interface       Date:  2012-05-23       Impact factor: 4.118

4.  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 5.  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

6.  Does M. tuberculosis genomic diversity explain disease diversity?

Authors:  Mireilla Coscolla; Sebastien Gagneux
Journal:  Drug Discov Today Dis Mech       Date:  2010

7.  The Distribution of Fitness Costs of Resistance-Conferring Mutations Is a Key Determinant for the Future Burden of Drug-Resistant Tuberculosis: A Model-Based Analysis.

Authors:  Gwenan M Knight; Caroline Colijn; Sourya Shrestha; Mariam Fofana; Frank Cobelens; Richard G White; David W Dowdy; Ted Cohen
Journal:  Clin Infect Dis       Date:  2015-10-15       Impact factor: 9.079

8.  Evolution of high-level ethambutol-resistant tuberculosis through interacting mutations in decaprenylphosphoryl-β-D-arabinose biosynthetic and utilization pathway genes.

Authors:  Hassan Safi; Subramanya Lingaraju; Anita Amin; Soyeon Kim; Marcus Jones; Michael Holmes; Michael McNeil; Scott N Peterson; Delphi Chatterjee; Robert Fleischmann; David Alland
Journal:  Nat Genet       Date:  2013-09-01       Impact factor: 38.330

9.  Selection of mutations to detect multidrug-resistant Mycobacterium tuberculosis strains in Shanghai, China.

Authors:  Tao Luo; Ming Zhao; Xia Li; Peng Xu; Xiaohong Gui; Sam Pickerill; Kathryn DeRiemer; Jian Mei; Qian Gao
Journal:  Antimicrob Agents Chemother       Date:  2009-12-14       Impact factor: 5.191

Review 10.  Tuberculosis: drug resistance, fitness, and strategies for global control.

Authors:  Erik C Böttger; Burkhard Springer
Journal:  Eur J Pediatr       Date:  2007-11-07       Impact factor: 3.183

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