Literature DB >> 17431788

Modeling of microbial population responses to time-periodic concentrations of antimicrobial agents.

Michael Nikolaou1, Amy N Schilling, Giao Vo, Kai-Tai Chang, Vincent H Tam.   

Abstract

We present the development and first experimental validation of a mathematical modeling framework for predicting the eventual response of heterogeneous (distributed-resistance) microbial populations to antimicrobial agents at time-periodic (hence pharmacokinetically realistic) concentrations. Our mathematical model predictions are validated in a hollow-fiber in vitro experimental infection model. They are in agreement with the threshold levofloxacin exposure necessary to suppress resistance development of Pseudomonas aeruginosa in a murine thigh infection model. Predictions made by the proposed mathematical modeling framework can offer guidance for targeted testing of promising regimens. This can aid the development and clinical use of antimicrobial agents that combat microbial resistance.

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Year:  2007        PMID： 17431788     DOI： 10.1007/s10439-007-9306-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN： 0090-6964            Impact factor:   3.934


  7 in total

1.  Mathematical modeling to characterize the inoculum effect.

Authors:  Pratik Bhagunde; Kai-Tai Chang; Renu Singh; Vandana Singh; Kevin W Garey; Michael Nikolaou; Vincent H Tam
Journal:  Antimicrob Agents Chemother       Date:  2010-08-30       Impact factor: 5.191

2.  Translating slow-binding inhibition kinetics into cellular and in vivo effects.

Authors:  Grant K Walkup; Zhiping You; Philip L Ross; Eleanor K H Allen; Fereidoon Daryaee; Michael R Hale; John O'Donnell; David E Ehmann; Virna J A Schuck; Ed T Buurman; Allison L Choy; Laurel Hajec; Kerry Murphy-Benenato; Valerie Marone; Sara A Patey; Lena A Grosser; Michele Johnstone; Stephen G Walker; Peter J Tonge; Stewart L Fisher
Journal:  Nat Chem Biol       Date:  2015-04-20       Impact factor: 15.040

3.  Discerning in vitro pharmacodynamics from OD measurements: A model-based approach.

Authors:  Iordanis Kesisoglou; Vincent H Tam; Andrew P Tomaras; Michael Nikolaou
Journal:  Comput Chem Eng       Date:  2021-12-16       Impact factor: 3.845

4.  Comparative in vitro and in vivo efficacies of human simulated doses of ceftazidime and ceftazidime-avibactam against Pseudomonas aeruginosa.

Authors:  Jared L Crandon; Virna J Schuck; Mary Anne Banevicius; Marie-Eve Beaudoin; Wright W Nichols; M Angela Tanudra; David P Nicolau
Journal:  Antimicrob Agents Chemother       Date:  2012-09-17       Impact factor: 5.191

5.  Pharmacodynamic modeling of aminoglycosides against Pseudomonas aeruginosa and Acinetobacter baumannii: identifying dosing regimens to suppress resistance development.

Authors:  Vincent H Tam; Kimberly R Ledesma; Giao Vo; Samer Kabbara; Tze-Peng Lim; Michael Nikolaou
Journal:  Antimicrob Agents Chemother       Date:  2008-08-25       Impact factor: 5.191

6.  Mechanism-based pharmacokinetic-pharmacodynamic models of in vitro fungistatic and fungicidal effects against Candida albicans.

Authors:  Nicolas Venisse; Nicolas Grégoire; Manuella Marliat; William Couet
Journal:  Antimicrob Agents Chemother       Date:  2008-01-07       Impact factor: 5.191

7.  A novel approach to pharmacodynamic assessment of antimicrobial agents: new insights to dosing regimen design.

Authors:  Vincent H Tam; Michael Nikolaou
Journal:  PLoS Comput Biol       Date:  2011-01-06       Impact factor: 4.475
  7 in total

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