Literature DB >> 25645838

Two mechanisms of killing of Pseudomonas aeruginosa by tobramycin assessed at multiple inocula via mechanism-based modeling.

Jürgen B Bulitta1, Neang S Ly2, Cornelia B Landersdorfer3, Nicholin A Wanigaratne4, Tony Velkov4, Rajbharan Yadav4, Antonio Oliver5, Lisandra Martin6, Beom Soo Shin7, Alan Forrest2, Brian T Tsuji2.   

Abstract

Bacterial resistance is among the most serious threats to human health globally, and many bacterial isolates have emerged that are resistant to all antibiotics in monotherapy. Aminoglycosides are often used in combination therapies against severe infections by multidrug-resistant bacteria. However, models quantifying different antibacterial effects of aminoglycosides are lacking. While the mode of aminoglycoside action on protein synthesis has often been studied, their disruptive action on the outer membrane of Gram-negative bacteria remains poorly characterized. Here, we developed a novel quantitative model for these two mechanisms of aminoglycoside action, phenotypic tolerance at high bacterial densities, and adaptive bacterial resistance in response to an aminoglycoside (tobramycin) against three Pseudomonas aeruginosa strains. At low-intermediate tobramycin concentrations (<4 mg/liter), bacterial killing due to the effect on protein synthesis was most important, whereas disruption of the outer membrane was the predominant killing mechanism at higher tobramycin concentrations (≥8 mg/liter). The extent of killing was comparable across all inocula; however, the rate of bacterial killing and growth was substantially lower at the 10(8.9) CFU/ml inoculum than that at the lower inocula. At 1 to 4 mg/liter tobramycin for strain PAO1-RH, there was a 0.5- to 6-h lag time of killing that was modeled via the time to synthesize hypothetical lethal protein(s). Disruption of the outer bacterial membrane by tobramycin may be critical to enhance the target site penetration of antibiotics used in synergistic combinations with aminoglycosides and thereby combat multidrug-resistant bacteria. The two mechanisms of aminoglycoside action and the new quantitative model hold great promise to rationally design novel, synergistic aminoglycoside combination dosage regimens.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25645838      PMCID: PMC4356757          DOI: 10.1128/AAC.04099-14

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


  65 in total

1.  Novel approach to optimize synergistic carbapenem-aminoglycoside combinations against carbapenem-resistant Acinetobacter baumannii.

Authors:  Rajbharan Yadav; Cornelia B Landersdorfer; Roger L Nation; John D Boyce; Jürgen B Bulitta
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

Review 2.  Pharmacokinetic-pharmacodynamic modeling of antibacterial drugs.

Authors:  Elisabet I Nielsen; Lena E Friberg
Journal:  Pharmacol Rev       Date:  2013-06-26       Impact factor: 25.468

3.  Overexpression of MexCD-OprJ reduces Pseudomonas aeruginosa virulence by increasing its susceptibility to complement-mediated killing.

Authors:  Inmaculada Martínez-Ramos; Xavier Mulet; Bartolomé Moyá; Mariette Barbier; Antonio Oliver; Sebastián Albertí
Journal:  Antimicrob Agents Chemother       Date:  2014-01-13       Impact factor: 5.191

4.  Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen.

Authors:  C K Stover; X Q Pham; A L Erwin; S D Mizoguchi; P Warrener; M J Hickey; F S Brinkman; W O Hufnagle; D J Kowalik; M Lagrou; R L Garber; L Goltry; E Tolentino; S Westbrock-Wadman; Y Yuan; L L Brody; S N Coulter; K R Folger; A Kas; K Larbig; R Lim; K Smith; D Spencer; G K Wong; Z Wu; I T Paulsen; J Reizer; M H Saier; R E Hancock; S Lory; M V Olson
Journal:  Nature       Date:  2000-08-31       Impact factor: 49.962

5.  Tobramycin disposition in ICU patients receiving a once daily regimen: population approach and dosage simulations.

Authors:  Jean-Marie Conil; Bernard Georges; Stéphanie Ruiz; Thomas Rival; Thierry Seguin; Pierre Cougot; Olivier Fourcade; Georges Houin Pharmd; Sylvie Saivin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

6.  Induction of the MexXY efflux pump in Pseudomonas aeruginosa is dependent on drug-ribosome interaction.

Authors:  Katy Jeannot; Mara L Sobel; Farid El Garch; Keith Poole; Patrick Plésiat
Journal:  J Bacteriol       Date:  2005-08       Impact factor: 3.490

7.  Quantifying subpopulation synergy for antibiotic combinations via mechanism-based modeling and a sequential dosing design.

Authors:  Cornelia B Landersdorfer; Neang S Ly; Hongmei Xu; Brian T Tsuji; Jürgen B Bulitta
Journal:  Antimicrob Agents Chemother       Date:  2013-03-11       Impact factor: 5.191

Review 8.  Combination therapy for carbapenem-resistant Gram-negative bacteria.

Authors:  Alexandre P Zavascki; Jurgen B Bulitta; Cornelia B Landersdorfer
Journal:  Expert Rev Anti Infect Ther       Date:  2013-11-06       Impact factor: 5.091

9.  Impact of meropenem in combination with tobramycin in a murine model of Pseudomonas aeruginosa pneumonia.

Authors:  Arnold Louie; Weiguo Liu; Steven Fikes; David Brown; G L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2013-04-09       Impact factor: 5.191

10.  Antibiotic inducibility of the mexXY multidrug efflux operon of Pseudomonas aeruginosa: involvement of the MexZ anti-repressor ArmZ.

Authors:  Thomas Hay; Sebastien Fraud; Calvin Ho-Fung Lau; Christie Gilmour; Keith Poole
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

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  31 in total

1.  High-intensity meropenem combinations with polymyxin B: new strategies to overcome carbapenem resistance in Acinetobacter baumannii.

Authors:  Justin R Lenhard; Jürgen B Bulitta; Terry D Connell; Natalie King-Lyons; Cornelia B Landersdorfer; Soon-Ee Cheah; Visanu Thamlikitkul; Beom Soo Shin; Gauri Rao; Patricia N Holden; Thomas J Walsh; Alan Forrest; Roger L Nation; Jian Li; Brian T Tsuji
Journal:  J Antimicrob Chemother       Date:  2016-09-15       Impact factor: 5.790

2.  Synergistic Meropenem-Tobramycin Combination Dosage Regimens against Clinical Hypermutable Pseudomonas aeruginosa at Simulated Epithelial Lining Fluid Concentrations in a Dynamic Biofilm Model.

Authors:  Hajira Bilal; Phillip J Bergen; Tae Hwan Kim; Seung Eun Chung; Anton Y Peleg; Antonio Oliver; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

3.  Potentiation of Tobramycin by Silver Nanoparticles against Pseudomonas aeruginosa Biofilms.

Authors:  Marc B Habash; Mara C Goodyear; Amber J Park; Matthew D Surette; Emily C Vis; Robert J Harris; Cezar M Khursigara
Journal:  Antimicrob Agents Chemother       Date:  2017-10-24       Impact factor: 5.191

4.  Optimization of Synergistic Combination Regimens against Carbapenem- and Aminoglycoside-Resistant Clinical Pseudomonas aeruginosa Isolates via Mechanism-Based Pharmacokinetic/Pharmacodynamic Modeling.

Authors:  Rajbharan Yadav; Jürgen B Bulitta; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2016-12-27       Impact factor: 5.191

5.  Optimization of a Meropenem-Tobramycin Combination Dosage Regimen against Hypermutable and Nonhypermutable Pseudomonas aeruginosa via Mechanism-Based Modeling and the Hollow-Fiber Infection Model.

Authors:  Cornelia B Landersdorfer; Vanessa E Rees; Rajbharan Yadav; Kate E Rogers; Tae Hwan Kim; Phillip J Bergen; Soon-Ee Cheah; John D Boyce; Anton Y Peleg; Antonio Oliver; Beom Soo Shin; Roger L Nation; Jürgen B Bulitta
Journal:  Antimicrob Agents Chemother       Date:  2018-03-27       Impact factor: 5.191

6.  Optimization and Evaluation of Piperacillin-Tobramycin Combination Dosage Regimens against Pseudomonas aeruginosa for Patients with Altered Pharmacokinetics via the Hollow-Fiber Infection Model and Mechanism-Based Modeling.

Authors:  Rajbharan Yadav; Kate E Rogers; Phillip J Bergen; Jürgen B Bulitta; Carl M J Kirkpatrick; Steven C Wallis; David L Paterson; Roger L Nation; Jeffrey Lipman; Jason A Roberts; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2018-04-26       Impact factor: 5.191

7.  Synergistic effects of heat and antibiotics on Pseudomonas aeruginosa biofilms.

Authors:  Erica B Ricker; Eric Nuxoll
Journal:  Biofouling       Date:  2017-10-17       Impact factor: 3.209

8.  Resistance suppression by high-intensity, short-duration aminoglycoside exposure against hypermutable and non-hypermutable Pseudomonas aeruginosa.

Authors:  Vanessa E Rees; Jürgen B Bulitta; Antonio Oliver; Brian T Tsuji; Craig R Rayner; Roger L Nation; Cornelia B Landersdorfer
Journal:  J Antimicrob Chemother       Date:  2016-08-11       Impact factor: 5.790

9.  Colistin and Polymyxin B Dosage Regimens against Acinetobacter baumannii: Differences in Activity and the Emergence of Resistance.

Authors:  Soon-Ee Cheah; Jian Li; Brian T Tsuji; Alan Forrest; Jürgen B Bulitta; Roger L Nation
Journal:  Antimicrob Agents Chemother       Date:  2016-06-20       Impact factor: 5.191

10.  Aminoglycoside Concentrations Required for Synergy with Carbapenems against Pseudomonas aeruginosa Determined via Mechanistic Studies and Modeling.

Authors:  Rajbharan Yadav; Jürgen B Bulitta; Elena K Schneider; Beom Soo Shin; Tony Velkov; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2017-11-22       Impact factor: 5.191

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