Attenuation of colistin bactericidal activity by high inoculum of pseudomonas aeruginosa characterized by a new mechanism-based population pharmacodynamic model

Jurgen Bernd Bulitta, Jenny C Yang, Liliana Yohonn, Neang S Ly, Silvia V Brown, Rebecca E D'Hondt, William J Jusko, Alan Forrest, Brian Tsuji

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92 Citations (Scopus)

Abstract

Colistin is increasingly being utilized against Gram-negative pathogens, including Pseudomonas aeruginosa, resistant to all other antibiotics. Since limited data exist regarding killing by colistin at different initial inocula (CFUo), we evaluated killing of Pseudomonas aeruginosa by colistin at several CFUo and developed a mechanism-based mathematical model accommodating a range of CFUo. In vitro time-kill experiments were performed using =8 concentrations up to 64 x the MIC of colistin against P. aeruginosa PAO1 and two clinical P. aeruginosa isolates at CFUo of 106, 108, and 10 9 CFU/ml. Serial samples up to 24 h were simultaneously modeled in the NONMEM VI (results shown) and S-ADAPT software programs. The mathematical model was prospectively validated by additional time-kill studies assessing the effect of Ca2+ and Mg2+ on killing of PAO1 by colistin. Against PAO1, killing of the susceptible population was 23-fold slower at the 109 CFUo and 6-fold slower at the 108 CFUo than at the 106 CFUo. The model comprised three populations with different second-order killing rate constants (5.72, 0.369, and 0.00210 liters/h/mg). Bacteria were assumed to release signal molecules stimulating a phenotypic change that inhibits killing. The proposed mechanism-based model had a good predictive performance, could describe killing by colistin for all three studied strains and for two literature studies, and performed well in a prospective validation with various concentrations of Ca2+ and Mg2+. The extent and rate of killing of P. aeruginosa by colistin were markedly decreased at high CFUo compared to those at low CFUo. This was well described by a mechanism-based mathematical model, which should be further validated using dynamic in vitro models.
Original languageEnglish
Pages (from-to)2051 - 2062
Number of pages12
JournalAntimicrobial Agents and Chemotherapy
Volume54
Issue number5
DOIs
Publication statusPublished - 2010
Externally publishedYes

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