Literature DB >> 18378704

Enrichment of fluoroquinolone-resistant Staphylococcus aureus: oscillating ciprofloxacin concentrations simulated at the upper and lower portions of the mutant selection window.

Alexander A Firsov1, Irene Y Lubenko, Maria V Smirnova, Elena N Strukova, Stephen H Zinner.   

Abstract

The time inside the mutant selection window (MSW), T(MSW), appears to be less predictive of the selection of fluoroquinolone-resistant Staphylococcus aureus than is the ratio of the area under the concentration-time curve (AUC) to the MIC. This observation might be attributed to the fact that T(MSW) does not consider the actual position of simulated antibiotic concentrations inside the MSW, which also might influence the amplification of resistant mutants. To test this hypothesis, the enrichment of ciprofloxacin-resistant S. aureus was studied at ciprofloxacin (CIP) concentrations that oscillate near the mutant prevention concentration (MPC), i.e., closer to the top of the MSW ("upper case"), and closer to the MIC, i.e., at the lower limit of the MSW ("lower case") at the same T(MSW). Two methicillin-resistant strains of S. aureus, ATCC 6538 and ATCC 43300 (MICs of 0.25 and 0.5 mg/liter, respectively, and MPCs of 4 and 2 mg/liter, respectively), were exposed to twice-daily CIP treatments for three consecutive days. With S. aureus ATCC 6538, the simulated ratios of the AUC at 24 h (AUC(24)) to the MIC were 50 and 260 h (T(MSW) 75% of the dosing interval). With S. aureus ATCC 43300, the simulated AUC(24)/MICs were 30 and 100 h (T(MSW) 56%). With each organism, mutants resistant to CIP were enriched in an AUC(24)/MIC-dependent manner: the higher the AUC(24)/MIC ratio, the lower the growth on CIP-containing plates. For example, the area under the time-kill curve of mutants resistant to 4x MIC of CIP in the upper case was three times smaller than that in the lower case for both S. aureus strains. Similar differences were seen at the higher (8x MIC) and lower (2x MIC) CIP concentrations. These data highlight differences in the selection of resistant S. aureus, depending on the position of simulated concentrations inside the MSW at a given T(MSW). This explains why T(MSW)-based predictions of resistance are less accurate than those based on AUC/MIC and AUC/MPC.

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Year:  2008        PMID: 18378704      PMCID: PMC2415810          DOI: 10.1128/AAC.01371-07

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  13 in total

1.  Selection of antibiotic-resistant bacterial mutants: allelic diversity among fluoroquinolone-resistant mutations.

Authors:  J Zhou; Y Dong; X Zhao; S Lee; A Amin; S Ramaswamy; J Domagala; J M Musser; K Drlica
Journal:  J Infect Dis       Date:  2000-07-24       Impact factor: 5.226

2.  Parameters of bacterial killing and regrowth kinetics and antimicrobial effect examined in terms of area under the concentration-time curve relationships: action of ciprofloxacin against Escherichia coli in an in vitro dynamic model.

Authors:  A A Firsov; S N Vostrov; A A Shevchenko; G Cornaglia
Journal:  Antimicrob Agents Chemother       Date:  1997-06       Impact factor: 5.191

3.  Testing the mutant selection window hypothesis with Staphylococcus aureus exposed to daptomycin and vancomycin in an in vitro dynamic model.

Authors:  Alexander A Firsov; Maria V Smirnova; Irene Yu Lubenko; Sergey N Vostrov; Yury A Portnoy; Stephen H Zinner
Journal:  J Antimicrob Chemother       Date:  2006-10-05       Impact factor: 5.790

Review 4.  Restricting the selection of antibiotic-resistant mutants: a general strategy derived from fluoroquinolone studies.

Authors:  X Zhao; K Drlica
Journal:  Clin Infect Dis       Date:  2001-09-15       Impact factor: 9.079

5.  In vitro pharmacodynamic evaluation of the mutant selection window hypothesis using four fluoroquinolones against Staphylococcus aureus.

Authors:  Alexander A Firsov; Sergey N Vostrov; Irene Y Lubenko; Karl Drlica; Yury A Portnoy; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2003-05       Impact factor: 5.191

6.  Inter- and intraquinolone predictors of antimicrobial effect in an in vitro dynamic model: new insight into a widely used concept.

Authors:  A A Firsov; A A Shevchenko; S N Vostrov; S H Zinner
Journal:  Antimicrob Agents Chemother       Date:  1998-03       Impact factor: 5.191

7.  Mechanism of fluoroquinolone resistance is an important factor in determining the antimicrobial effect of gemifloxacin against Streptococcus pneumoniae in an in vitro pharmacokinetic model.

Authors:  Alasdair P MacGowan; Karen E Bowker
Journal:  Antimicrob Agents Chemother       Date:  2003-03       Impact factor: 5.191

8.  Activities of moxifloxacin against, and emergence of resistance in, Streptococcus pneumoniae and Pseudomonas aeruginosa in an in vitro pharmacokinetic model.

Authors:  Alasdair P MacGowan; Chris A Rogers; H Alan Holt; Karen E Bowker
Journal:  Antimicrob Agents Chemother       Date:  2003-03       Impact factor: 5.191

9.  ABT492 and levofloxacin: comparison of their pharmacodynamics and their abilities to prevent the selection of resistant Staphylococcus aureus in an in vitro dynamic model.

Authors:  Alexander A Firsov; Sergey N Vostrov; Irene Yu Lubenko; Alexander P Arzamastsev; Yury A Portnoy; Stephen H Zinner
Journal:  J Antimicrob Chemother       Date:  2004-06-09       Impact factor: 5.790

10.  Emergence of resistant Streptococcus pneumoniae in an in vitro dynamic model that simulates moxifloxacin concentrations inside and outside the mutant selection window: related changes in susceptibility, resistance frequency and bacterial killing.

Authors:  Stephen H Zinner; Irene Yu Lubenko; Deborah Gilbert; Kelly Simmons; Xilin Zhao; Karl Drlica; Alexander A Firsov
Journal:  J Antimicrob Chemother       Date:  2003-09-01       Impact factor: 5.790

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Authors:  Marilyn N Martinez; Mark G Papich; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2012-02-27       Impact factor: 5.191

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Authors:  G L Drusano; Arnold Louie; Alasdair MacGowan; William Hope
Journal:  Antimicrob Agents Chemother       Date:  2015-12-28       Impact factor: 5.191

Review 3.  Is selection relevant in the evolutionary emergence of drug resistance?

Authors:  Troy Day; Silvie Huijben; Andrew F Read
Journal:  Trends Microbiol       Date:  2015-02-11       Impact factor: 17.079

4.  Comparative pharmacodynamics and antimutant potentials of doripenem and imipenem with ciprofloxacin-resistant Pseudomonas aeruginosa in an in vitro model.

Authors:  Alexander A Firsov; Deborah Gilbert; Kenneth Greer; Yury A Portnoy; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2011-12-27       Impact factor: 5.191

5.  Evaluation of meropenem regimens suppressing emergence of resistance in Acinetobacter baumannii with human simulated exposure in an in vitro intravenous-infusion hollow-fiber infection model.

Authors:  Xin Li; Lin Wang; Xian-Jia Zhang; Yang Yang; Wei-Tao Gong; Bin Xu; Ying-Qun Zhu; Wei Liu
Journal:  Antimicrob Agents Chemother       Date:  2014-09-02       Impact factor: 5.191

6.  In vitro resistance studies with bacteria that exhibit low mutation frequencies: prediction of "antimutant" linezolid concentrations using a mixed inoculum containing both susceptible and resistant Staphylococcus aureus.

Authors:  Alexander A Firsov; Maria V Golikova; Elena N Strukova; Yury A Portnoy; Andrey V Romanov; Mikhail V Edelstein; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2014-12-01       Impact factor: 5.191

7.  Influence of inoculum size and marbofloxacin plasma exposure on the amplification of resistant subpopulations of Klebsiella pneumoniae in a rat lung infection model.

Authors:  Anne-Sylvie Kesteman; Aude A Ferran; Agnès Perrin-Guyomard; Michel Laurentie; Pascal Sanders; Pierre-Louis Toutain; Alain Bousquet-Mélou
Journal:  Antimicrob Agents Chemother       Date:  2009-09-08       Impact factor: 5.191

8.  In vitro system for modeling influenza A virus resistance under drug pressure.

Authors:  Ashley N Brown; James J McSharry; Qingmei Weng; Elizabeth M Driebe; David M Engelthaler; Kelly Sheff; Paul S Keim; Jack Nguyen; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2010-05-24       Impact factor: 5.191

Review 9.  Drug interactions and the evolution of antibiotic resistance.

Authors:  Pamela J Yeh; Matthew J Hegreness; Aviva Presser Aiden; Roy Kishony
Journal:  Nat Rev Microbiol       Date:  2009-06       Impact factor: 60.633

10.  Evolution of antibiotic cross-resistance and collateral sensitivity in Staphylococcus epidermidis using the mutant prevention concentration and the mutant selection window.

Authors:  Natalie Ann Lozano-Huntelman; Nina Singh; Alondra Valencia; Portia Mira; Maral Sakayan; Ian Boucher; Sharon Tang; Kelley Brennan; Crystal Gianvecchio; Sorel Fitz-Gibbon; Pamela Yeh
Journal:  Evol Appl       Date:  2020-02-25       Impact factor: 5.183

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