Literature DB >> 17028094

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

Alexander A Firsov1, Maria V Smirnova, Irene Yu Lubenko, Sergey N Vostrov, Yury A Portnoy, Stephen H Zinner.   

Abstract

OBJECTIVES: To extend the mutant selection window (MSW) hypothesis to include antibiotics in addition to fluoroquinolones, the pharmacodynamics of daptomycin (DAP) and vancomycin (VAN) and their ability to prevent the selection of resistant Staphylococcus aureus were studied in an in vitro model that simulates antibiotic concentrations below the MIC, between the MIC and the mutant prevention concentration (MPC), and above the MPC.
METHODS: Two clinical isolates of S. aureus, S. aureus 866 (MIC(DAP) 0.35, MIC(VAN) 0.7, MPC(DAP) 1.1, MPC(VAN) 2.4 mg/L) and S. aureus 10 (MIC(DAP) 1.1, MIC(VAN) 1.3, MPC(DAP) 5.5, MPC(VAN) 11 mg/L), were exposed for five consecutive days to once-daily daptomycin (half-life 9 h) and twice-daily vancomycin (half-life 6 h) at the ratio of 24 h area under the concentration-time curve (AUC24) to MIC that varied over a 16- to 30-fold range. The cumulative antimicrobial effect was expressed by its intensity (I(E)). Changes in susceptibility and numbers of surviving organisms on agar plates containing 2x and 4x MIC of daptomycin or vancomycin were monitored daily.
RESULTS: The I(E)-log AUC24/MIC plots were bacterial strain- and antibiotic-independent. This allowed combination of data obtained with both antibiotics and both organisms. Based on the sigmoid relationship between I(E) and the AUC24/MIC (r2 = 0.9), the antistaphylococcal effect of the therapeutic doses of daptomycin (4 and 6 mg/kg) against a hypothetical S. aureus with MIC equal to the MIC90 (AUC24/MIC90 380 and 570 h, respectively) was predicted to be similar to the effect of two 1 g doses of vancomycin given at a 12 h interval (AUC24/MIC90 200 h). AUC24/MIC relationships of the final-to-initial MIC ratio and logarithm of the ratio of maximal-to-initial numbers of organisms resistant to 2x and 4x MIC of daptomycin or vancomycin were bell-shaped and bacterial strain- and antibiotic-independent. Based on these relationships, an AUC24/MIC ratio that protects against the selection of resistant mutants was predicted at > or = 200 h. This protective value is less than the AUC24/MIC90s provided by the 4 mg/kg dose and considerably less than the 6 mg/kg dose of daptomycin, but it is close to the AUC24/MIC90 provided by two 1 g doses of vancomycin.
CONCLUSIONS: These findings support the MSW hypothesis and suggest comparable antistaphylococcal effects of clinically achievable AUC24/MIC90s of daptomycin and vancomycin but slightly better prevention against the selection of resistant S. aureus by daptomycin.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17028094     DOI: 10.1093/jac/dkl387

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  28 in total

1.  Antibiotic pharmacodynamics and bacterial resistance: usefulness of in vitro models.

Authors:  Stephen H Zinner; Alexander Firsov
Journal:  Curr Infect Dis Rep       Date:  2007-05       Impact factor: 3.725

Review 2.  Novel approaches to developing new antibiotics for bacterial infections.

Authors:  A R M Coates; Y Hu
Journal:  Br J Pharmacol       Date:  2007-08-20       Impact factor: 8.739

Review 3.  A unified anti-mutant dosing strategy.

Authors:  Xilin Zhao; Karl Drlica
Journal:  J Antimicrob Chemother       Date:  2008-06-10       Impact factor: 5.790

4.  Comparative study of the mutant prevention concentrations of moxifloxacin, levofloxacin, and gemifloxacin against pneumococci.

Authors:  Kim Credito; Klaudia Kosowska-Shick; Pamela McGhee; Glenn A Pankuch; Peter C Appelbaum
Journal:  Antimicrob Agents Chemother       Date:  2009-12-14       Impact factor: 5.191

Review 5.  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

Review 6.  Individualising Therapy to Minimize Bacterial Multidrug Resistance.

Authors:  A J Heffernan; F B Sime; J Lipman; J A Roberts
Journal:  Drugs       Date:  2018-04       Impact factor: 9.546

7.  Modeling the Emergence of Antibiotic Resistance in the Environment: an Analytical Solution for the Minimum Selection Concentration.

Authors:  Ben K Greenfield; Shanna Shaked; Carl F Marrs; Patrick Nelson; Ian Raxter; Chuanwu Xi; Thomas E McKone; Olivier Jolliet
Journal:  Antimicrob Agents Chemother       Date:  2018-02-23       Impact factor: 5.191

8.  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

9.  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

10.  Bacterial resistance studies using in vitro dynamic models: the predictive power of the mutant prevention and minimum inhibitory antibiotic concentrations.

Authors:  Alexander A Firsov; Elena N Strukova; Darya S Shlykova; Yury A Portnoy; Varvara K Kozyreva; Mikhail V Edelstein; Svetlana A Dovzhenko; Mikhail B Kobrin; Stephen H Zinner
Journal:  Antimicrob Agents Chemother       Date:  2013-07-29       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.