Literature DB >> 17683017

Optimizing drug exposure to minimize selection of antibiotic resistance.

Sara K Olofsson1, Otto Cars.   

Abstract

The worldwide increase in antibiotic resistance is a concern for public health. The fact that the choice of dose and treatment duration can affect the selection of antibiotic-resistant mutants is becoming more evident, and an increased number of studies have used pharmacodynamic models to describe the drug exposure and pharmacodynamic breakpoints needed to minimize and predict the development of resistance. However, there remains a lack of sufficient data, and future work is needed to fully characterize these target drug concentrations. More knowledge is also needed of drug pharmacodynamics versus bacteria with different resistance mutations and susceptibility levels. The dosing regimens should exhibit high efficacy not only against susceptible wild-type bacteria but, preferably, also against mutated bacteria that may exist in low numbers in "susceptible" populations. Thus, to prolong the life span of existing and new antibiotics, it is important that dosing regimens be carefully selected on the basis of pharmacokinetic and pharmacodynamic properties that prevent emergence of preexisting and newly formed mutants.

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Year:  2007        PMID: 17683017     DOI: 10.1086/519256

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  48 in total

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Review 2.  Pharmacokinetic and pharmacodynamic parameters of antimicrobials: potential for providing dosing regimens that are less vulnerable to resistance.

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3.  Ciprofloxacin dosage and emergence of resistance in human commensal bacteria.

Authors:  Bruno Fantin; Xavier Duval; Laurent Massias; Loubna Alavoine; Françoise Chau; Sylvie Retout; Antoine Andremont; France Mentré
Journal:  J Infect Dis       Date:  2009-08-01       Impact factor: 5.226

4.  Adaptation Through Lifestyle Switching Sculpts the Fitness Landscape of Evolving Populations: Implications for the Selection of Drug-Resistant Bacteria at Low Drug Pressures.

Authors:  Nishad Matange; Sushmitha Hegde; Swapnil Bodkhe
Journal:  Genetics       Date:  2019-01-22       Impact factor: 4.562

Review 5.  Cancer in light of experimental evolution.

Authors:  Kathleen Sprouffske; Lauren M F Merlo; Philip J Gerrish; Carlo C Maley; Paul D Sniegowski
Journal:  Curr Biol       Date:  2012-09-11       Impact factor: 10.834

Review 6.  Cefiderocol: A Siderophore Cephalosporin with Activity Against Carbapenem-Resistant and Multidrug-Resistant Gram-Negative Bacilli.

Authors:  George G Zhanel; Alyssa R Golden; Sheryl Zelenitsky; Karyn Wiebe; Courtney K Lawrence; Heather J Adam; Temilolu Idowu; Ronald Domalaon; Frank Schweizer; Michael A Zhanel; Philippe R S Lagacé-Wiens; Andrew J Walkty; Ayman Noreddin; Joseph P Lynch Iii; James A Karlowsky
Journal:  Drugs       Date:  2019-02       Impact factor: 9.546

Review 7.  Is selection relevant in the evolutionary emergence of drug resistance?

Authors:  Troy Day; Silvie Huijben; Andrew F Read
Journal:  Trends Microbiol       Date:  2015-02-11       Impact factor: 17.079

8.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

9.  Validation of the mutant selection window hypothesis with fosfomycin against Escherichia coli and Pseudomonas aeruginosa: an in vitro and in vivo comparative study.

Authors:  Ai-Jun Pan; Qing Mei; Ying Ye; Hong-Ru Li; Bao Liu; Jia-Bin Li
Journal:  J Antibiot (Tokyo)       Date:  2016-10-19       Impact factor: 2.649

10.  Safety of undiluted intracameral moxifloxacin without postoperative topical antibiotics in cataract surgery.

Authors:  Andrew Xingyu Zhou; Wyatt Boyer Messenger; Steven Sargent; Balamurali Krishna Ambati
Journal:  Int Ophthalmol       Date:  2015-11-14       Impact factor: 2.031

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