Literature DB >> 20211900

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

Jürgen B Bulitta1, Jenny C Yang, Liliana Yohonn, Neang S Ly, Silvia V Brown, Rebecca E D'Hondt, William J Jusko, Alan Forrest, Brian T Tsuji.   

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 >or=8 concentrations up to 64 x the MIC of colistin against P. aeruginosa PAO1 and two clinical P. aeruginosa isolates at CFUo of 10(6), 10(8), 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 Ca(2+) and Mg(2+) on killing of PAO1 by colistin. Against PAO1, killing of the susceptible population was 23-fold slower at the 10(9) CFUo and 6-fold slower at the 10(8) CFUo than at the 10(6) 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 Ca(2+) and Mg(2+). 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.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20211900      PMCID: PMC2863601          DOI: 10.1128/AAC.00881-09

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


  66 in total

Review 1.  Peptide antibiotics.

Authors:  R E Hancock; D S Chapple
Journal:  Antimicrob Agents Chemother       Date:  1999-06       Impact factor: 5.191

2.  Pharmacodynamics of polymyxin B against Pseudomonas aeruginosa.

Authors:  Vincent H Tam; Amy N Schilling; Giao Vo; Samer Kabbara; Andrea L Kwa; Nathan P Wiederhold; Russell E Lewis
Journal:  Antimicrob Agents Chemother       Date:  2005-09       Impact factor: 5.191

3.  Short-course gentamicin in combination with daptomycin or vancomycin against Staphylococcus aureus in an in vitro pharmacodynamic model with simulated endocardial vegetations.

Authors:  Brian T Tsuji; Michael J Rybak
Journal:  Antimicrob Agents Chemother       Date:  2005-07       Impact factor: 5.191

Review 4.  Mechanisms of action of newer antibiotics for Gram-positive pathogens.

Authors:  Robert Ew Hancock
Journal:  Lancet Infect Dis       Date:  2005-04       Impact factor: 25.071

5.  Pseudomonas aeruginosa infective endocarditis presenting as bacterial meningitis.

Authors:  Arun Venkatesan; Cassie Spalding; Andrea Speedie; Gita Sinha; Jeffrey A Rumbaugh
Journal:  J Infect       Date:  2005-11       Impact factor: 6.072

6.  Influence of inoculum size of Staphylococcus aureus and Pseudomonas aeruginosa on in vitro activities and in vivo efficacy of fluoroquinolones and carbapenems.

Authors:  Shingo Mizunaga; Tomoko Kamiyama; Yoshiko Fukuda; Masahiro Takahata; Junichi Mitsuyama
Journal:  J Antimicrob Chemother       Date:  2005-05-12       Impact factor: 5.790

Review 7.  Evaluation of colistin as an agent against multi-resistant Gram-negative bacteria.

Authors:  Jian Li; Roger L Nation; Robert W Milne; John D Turnidge; Kingsley Coulthard
Journal:  Int J Antimicrob Agents       Date:  2005-01       Impact factor: 5.283

8.  Pharmacodynamics of vancomycin at simulated epithelial lining fluid concentrations against methicillin-resistant Staphylococcus aureus (MRSA): implications for dosing in MRSA pneumonia.

Authors:  Yoriko Harigaya; Jürgen B Bulitta; Alan Forrest; George Sakoulas; Alan J Lesse; Joseph M Mylotte; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2009-07-13       Impact factor: 5.191

9.  Bone penetration of amoxicillin and clavulanic acid evaluated by population pharmacokinetics and Monte Carlo simulation.

Authors:  Cornelia B Landersdorfer; Martina Kinzig; Jürgen B Bulitta; Friedrich F Hennig; Ulrike Holzgrabe; Fritz Sörgel; Johannes Gusinde
Journal:  Antimicrob Agents Chemother       Date:  2009-03-23       Impact factor: 5.191

10.  The effect of the size of the inoculum and the age of the infection on the curative dose of penicillin in experimental infections with streptococci, pneumococci, and Treponema pallidum.

Authors:  H EAGLE
Journal:  J Exp Med       Date:  1949-12       Impact factor: 14.307

View more
  62 in total

Review 1.  Dosing of colistin-back to basic PK/PD.

Authors:  Phillip J Bergen; Jian Li; Roger L Nation
Journal:  Curr Opin Pharmacol       Date:  2011-08-09       Impact factor: 5.547

2.  Full virulence of Pseudomonas aeruginosa requires OprF.

Authors:  Laurène Fito-Boncompte; Annelise Chapalain; Emeline Bouffartigues; Hichem Chaker; Olivier Lesouhaitier; Gwendoline Gicquel; Alexis Bazire; Amar Madi; Nathalie Connil; Wilfried Véron; Laure Taupin; Bertrand Toussaint; Pierre Cornelis; Qing Wei; Koki Shioya; Eric Déziel; Marc G J Feuilloley; Nicole Orange; Alain Dufour; Sylvie Chevalier
Journal:  Infect Immun       Date:  2010-12-28       Impact factor: 3.441

3.  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

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

Authors:  Jürgen B Bulitta; Neang S Ly; Cornelia B Landersdorfer; Nicholin A Wanigaratne; Tony Velkov; Rajbharan Yadav; Antonio Oliver; Lisandra Martin; Beom Soo Shin; Alan Forrest; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

5.  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

6.  Predicting in vitro antibacterial efficacy across experimental designs with a semimechanistic pharmacokinetic-pharmacodynamic model.

Authors:  Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-01-31       Impact factor: 5.191

7.  Development of a new pre- and post-processing tool (SADAPT-TRAN) for nonlinear mixed-effects modeling in S-ADAPT.

Authors:  Jurgen Bernd Bulitta; Ayhan Bingölbali; Beom Soo Shin; Cornelia Barbara Landersdorfer
Journal:  AAPS J       Date:  2011-03-03       Impact factor: 4.009

8.  Performance and robustness of the Monte Carlo importance sampling algorithm using parallelized S-ADAPT for basic and complex mechanistic models.

Authors:  Jurgen B Bulitta; Cornelia B Landersdorfer
Journal:  AAPS J       Date:  2011-03-04       Impact factor: 4.009

Review 9.  Rescuing the Last-Line Polymyxins: Achievements and Challenges.

Authors:  Sue C Nang; Mohammad A K Azad; Tony Velkov; Qi Tony Zhou; Jian Li
Journal:  Pharmacol Rev       Date:  2021-04       Impact factor: 25.468

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.