Literature DB >> 21868287

Optimizing dosage to prevent emergence of resistance - lessons from in vitro models.

Renu Singh1, Vincent H Tam.   

Abstract

The widespread emergence of resistance to antimicrobial agents has taken mammoth dimension and warrants immediate steps to minimize it. Pharmacokinetics/pharmacodynamics of antimicrobial agents, differences among bacterial species, and time-dependent changes in the bacterial population are important factors involved in the development of drug resistance. The key to minimizing resistance lies in understanding how these factors affect resistance emergence and incorporating them in dosing regimen design. In vitro models have proven to be a valuable tool to study these factors and their contribution in resistance emergence. This review summarizes the key factors implicated in resistance development and the lessons learnt from in vitro studies optimizing antimicrobial dosing to prevent resistance emergence.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21868287     DOI: 10.1016/j.coph.2011.07.009

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  6 in total

1.  Novel rate-area-shape modeling approach to quantify bacterial killing and regrowth for in vitro static time-kill studies.

Authors:  Soon-Ee Cheah; Jian Li; Roger L Nation; Jürgen B Bulitta
Journal:  Antimicrob Agents Chemother       Date:  2014-11-03       Impact factor: 5.191

2.  Impact of prior inappropriate fluconazole dosing on isolation of fluconazole-nonsusceptible Candida species in hospitalized patients with candidemia.

Authors:  Dhara N Shah; Raymond Yau; Todd M Lasco; Jaye Weston; Miguel Salazar; Hannah R Palmer; Kevin W Garey
Journal:  Antimicrob Agents Chemother       Date:  2012-03-12       Impact factor: 5.191

3.  In vitro pharmacodynamics of AZD5206 against Staphylococcus aureus.

Authors:  Vincent H Tam; Kai-Tai Chang; Zhen Yang; Joseph Newman; Ming Hu
Journal:  Antimicrob Agents Chemother       Date:  2012-12-10       Impact factor: 5.191

Review 4.  PK/PD models in antibacterial development.

Authors:  Tony Velkov; Phillip J Bergen; Jaime Lora-Tamayo; Cornelia B Landersdorfer; Jian Li
Journal:  Curr Opin Microbiol       Date:  2013-07-18       Impact factor: 7.934

5.  Development and validation of a liquid chromatography-mass spectrometry assay for polymyxin B in bacterial growth media.

Authors:  Soon-Ee Cheah; Jurgen B Bulitta; Jian Li; Roger L Nation
Journal:  J Pharm Biomed Anal       Date:  2014-01-24       Impact factor: 3.935

6.  Correlations between Income inequality and antimicrobial resistance.

Authors:  Andrew Kirby; Annie Herbert
Journal:  PLoS One       Date:  2013-08-29       Impact factor: 3.240

  6 in total

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