Projects per year
Abstract
Pseudomonas aeruginosa remains a challenge in chronic respiratory infections in cystic fibrosis (CF). Ceftolozane-tazobactam has not yet been evaluated against multidrug-resistant hypermutable P. aeruginosa isolates in the hollow-fiber infection model (HFIM). Isolates CW41, CW35, and CW44 (ceftolozane-tazobactam MICs of 4, 4, and 2 mg/L, respectively) from adults with CF were exposed to simulated representative epithelial lining fluid pharmacokinetics of ceftolozane-tazobactam in the HFIM. Regimens were continuous infusion (CI; 4.5 g/day to 9 g/day, all isolates) and 1-h infusions (1.5 g every 8 hours and 3 g every 8 hours, CW41). Whole-genome sequencing and mechanism-based modeling were performed for CW41. CW41 (in four of five biological replicates) and CW44 harbored preexisting resistant subpopulations; CW35 did not. For replicates 1 to 4 of CW41 and CW44, 9 g/day CI decreased bacterial counts to <3 log10 CFU/mL for 24 to 48 h, followed by regrowth and resistance amplification. Replicate 5 of CW41 had no preexisting subpopulations and was suppressed below ~3 log10 CFU/mL for 120 h by 9 g/day CI, followed by resistant regrowth. Both CI regimens reduced CW35 bacterial counts to <1 log10 CFU/mL by 120 h without regrowth. These results corresponded with the presence or absence of preexisting resistant subpopulations and resistance-associated mutations at baseline. Mutations in ampC, algO, and mexY were identified following CW41 exposure to ceftolozane-tazobactam at 167 to 215 h. Mechanism-based modeling well described total and resistant bacterial counts. The findings highlight the impact of heteroresistance and baseline mutations on the effect of ceftolozane-tazobactam and limitations of MIC to predict bacterial outcomes. The resistance amplification in two of three isolates supports current guidelines that ceftolozane-tazobactam should be utilized together with another antibiotic against P. aeruginosa in CF.
Original language | English |
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Article number | e0041423 |
Number of pages | 12 |
Journal | Antimicrobial Agents and Chemotherapy |
Volume | 67 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2023 |
Keywords
- dynamic in vitro model
- mechanism-based modeling
- pharmacodynamics
- whole-genome sequencing
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Centre of Research Excellence - REduce the burden of antimicrobial reSistance through oPtimal, persONalised Dosing (RESPOND)
Roberts, J. A. (Primary Chief Investigator (PCI)), Slavin, M. A. (Chief Investigator (CI)), Paterson, D. L. (Chief Investigator (CI)), Comans, T. A. (Chief Investigator (CI)), Lipman, J. (Chief Investigator (CI)), Landersdorfer, C. (Chief Investigator (CI)), Joynt, G. (Chief Investigator (CI)), Bellomo, R. (Chief Investigator (CI)), Clark, J. (Chief Investigator (CI)) & Parker, S. L. (Chief Investigator (CI))
1/01/22 → 31/12/26
Project: Research
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Developing an integrated approach to precision medicine targeting antimicrobial resistance of bacterial 'superbugs'
Landersdorfer, C. (Primary Chief Investigator (PCI)), Oliver, A. (Chief Investigator (CI)) & Nation, R. (Chief Investigator (CI))
National Health and Medical Research Council (NHMRC) (Australia)
1/01/20 → 31/12/24
Project: Research
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Overcoming multidrug-resistant hypermutable Pseudomonas aeruginosa via antibiotic combinations
Landersdorfer, C. (Primary Chief Investigator (PCI)), Oliver, A. (Chief Investigator (CI)), Harper, M. (Chief Investigator (CI)) & Nation, R. (Chief Investigator (CI))
National Health and Medical Research Council (NHMRC) (Australia)
1/01/19 → 31/12/23
Project: Research