Literature DB >> 30249693

Activity of Moxifloxacin against Mycobacterium tuberculosis in Acid Phase and Nonreplicative-Persister Phenotype Phase in a Hollow-Fiber Infection Model.

Arnold Louie1, Brandon Duncanson1, Jenny Myrick1, Michael Maynard1, Jocelyn Nole1, David Brown1, Stephan Schmidt2, Michael Neely3, C A Scanga4, Charles Peloquin2, G L Drusano5.   

Abstract

A major goal for improving tuberculosis therapy is to identify drug regimens with improved efficacy and shorter treatment durations. Shorter therapies improve patient adherence to the antibiotic regimens, which, in turn, decreases resistance emergence. Mycobacterium tuberculosis exists in multiple metabolic states. At the initiation of therapy, the bulk of the population is in log-phase growth. Consequently, it is logical to focus initial therapy on those organisms. Moxifloxacin has good early bactericidal activity against log-phase bacteria and is a logical component of initial therapy. It would be optimal if this agent also possessed activity against acid-phase and nonreplicative-persister (NRP) phenotype organisms. In our hollow-fiber infection model, we studied multiple exposures to moxifloxacin (equivalent to 200 mg to 800 mg daily) against strain H37Rv in the acid phase and against strain 18b in streptomycin starvation, which is a model for NRP-phase organisms. Moxifloxacin possesses good activity against acid-phase organisms, generating cell killing of 3.75 log10(CFU/ml) (200 mg daily) to 5.16 log10(CFU/ml) (800 mg daily) over the 28 days of the experiment. Moxifloxacin also has activity against streptomycin-starved strain 18b. The 400- to 800-mg daily regimens achieved extinction at day 28, while the no-treatment control still had 1.96 log10(CFU/ml) culturable. The lowest dose (200 mg daily) still had 0.7 log10(CFU/ml) measurable at day 28, a net kill of 1.26 log10(CFU/ml). Moxifloxacin is an attractive agent for early therapy, because it possesses activity against three metabolic states of M. tuberculosis.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  Mycobacterium tuberculosiszzm321990; moxifloxacin; pharmacodynamics

Mesh:

Substances:

Year:  2018        PMID: 30249693      PMCID: PMC6256764          DOI: 10.1128/AAC.01470-18

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


  16 in total

1.  Novel mutation in 16S rRNA associated with streptomycin dependence in Mycobacterium tuberculosis.

Authors:  N Honoré; G Marchal; S T Cole
Journal:  Antimicrob Agents Chemother       Date:  1995-03       Impact factor: 5.191

2.  Simple model for testing drugs against nonreplicating Mycobacterium tuberculosis.

Authors:  Claudia Sala; Neeraj Dhar; Ruben C Hartkoorn; Ming Zhang; Young Hwan Ha; Patricia Schneider; Stewart T Cole
Journal:  Antimicrob Agents Chemother       Date:  2010-08-02       Impact factor: 5.191

3.  Multidrug-resistant tuberculosis not due to noncompliance but to between-patient pharmacokinetic variability.

Authors:  Shashikant Srivastava; Jotam G Pasipanodya; Claudia Meek; Richard Leff; Tawanda Gumbo
Journal:  J Infect Dis       Date:  2011-10-21       Impact factor: 5.226

4.  The combination of rifampin plus moxifloxacin is synergistic for suppression of resistance but antagonistic for cell kill of Mycobacterium tuberculosis as determined in a hollow-fiber infection model.

Authors:  G L Drusano; Nicole Sgambati; Adam Eichas; David L Brown; Robert Kulawy; Arnold Louie
Journal:  MBio       Date:  2010-08-10       Impact factor: 7.867

5.  Selection of a moxifloxacin dose that suppresses drug resistance in Mycobacterium tuberculosis, by use of an in vitro pharmacodynamic infection model and mathematical modeling.

Authors:  Tawanda Gumbo; Arnold Louie; Mark R Deziel; Linda M Parsons; Max Salfinger; George L Drusano
Journal:  J Infect Dis       Date:  2004-09-24       Impact factor: 5.226

6.  Comparative study on antagonistic effects of low pH and cation supplementation on in-vitro activity of quinolones and aminoglycosides against Pseudomonas aeruginosa.

Authors:  J Blaser; R Lüthy
Journal:  J Antimicrob Chemother       Date:  1988-07       Impact factor: 5.790

7.  Mycobacterium tuberculosis DNA repair in response to subinhibitory concentrations of ciprofloxacin.

Authors:  D M O'Sullivan; J Hinds; P D Butcher; S H Gillespie; T D McHugh
Journal:  J Antimicrob Chemother       Date:  2008-09-16       Impact factor: 5.790

8.  Effect of administration of moxifloxacin plus rifampin against Mycobacterium tuberculosis for 7 of 7 days versus 5 of 7 days in an in vitro pharmacodynamic system.

Authors:  G L Drusano; N Sgambati; A Eichas; D Brown; R Kulawy; A Louie
Journal:  MBio       Date:  2011-07-12       Impact factor: 7.867

9.  Heteroresistance at the single-cell level: adapting to antibiotic stress through a population-based strategy and growth-controlled interphenotypic coordination.

Authors:  Xiaorong Wang; Yu Kang; Chunxiong Luo; Tong Zhao; Lin Liu; Xiangdan Jiang; Rongrong Fu; Shuchang An; Jichao Chen; Ning Jiang; Lufeng Ren; Qi Wang; J Kenneth Baillie; Zhancheng Gao; Jun Yu
Journal:  MBio       Date:  2014-02-11       Impact factor: 7.867

10.  Preclinical Evaluations To Identify Optimal Linezolid Regimens for Tuberculosis Therapy.

Authors:  Ashley N Brown; George L Drusano; Jonathan R Adams; Jaime L Rodriquez; Kalyani Jambunathan; Dodge L Baluya; David L Brown; Awewura Kwara; Jon C Mirsalis; Richard Hafner; Arnold Louie
Journal:  MBio       Date:  2015-11-03       Impact factor: 7.867

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  7 in total

1.  Advanced Quantification Methods To Improve the 18b Dormancy Model for Assessing the Activity of Tuberculosis Drugs In Vitro.

Authors:  E D Pieterman; M J Sarink; C Sala; S T Cole; J E M de Steenwinkel; H I Bax
Journal:  Antimicrob Agents Chemother       Date:  2020-06-23       Impact factor: 5.191

2.  Dose Fractionation of Moxifloxacin for Treatment of Tuberculosis: Impact of Dosing Interval and Elimination Half-Life on Microbial Kill and Resistance Suppression.

Authors:  G L Drusano; Stephanie Rogers; David Brown; C A Peloquin; Michael Neely; Walter Yamada; Sarah Kim; Mohammed Almoslem; Stephan Schmidt; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

3.  The Funnel: a Screening Technique for Identifying Optimal Two-Drug Combination Chemotherapy Regimens.

Authors:  G L Drusano; Sarah Kim; Mohammed Almoslem; Stephan Schmidt; D Z D'Argenio; Jenny Myrick; Brandon Duncanson; Jocelyn Nole; David Brown; C A Peloquin; Michael Neely; Walter Yamada; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2021-01-20       Impact factor: 5.191

Review 4.  Generating Robust and Informative Nonclinical In Vitro and In Vivo Bacterial Infection Model Efficacy Data To Support Translation to Humans.

Authors:  Jürgen B Bulitta; William W Hope; Ann E Eakin; Tina Guina; Vincent H Tam; Arnold Louie; George L Drusano; Jennifer L Hoover
Journal:  Antimicrob Agents Chemother       Date:  2019-04-25       Impact factor: 5.191

Review 5.  Population Pharmacokinetics and Bayesian Dose Adjustment to Advance TDM of Anti-TB Drugs.

Authors:  Marieke G G Sturkenboom; Anne-Grete Märtson; Elin M Svensson; Derek J Sloan; Kelly E Dooley; Simone H J van den Elsen; Paolo Denti; Charles A Peloquin; Rob E Aarnoutse; Jan-Willem C Alffenaar
Journal:  Clin Pharmacokinet       Date:  2021-03-06       Impact factor: 6.447

Review 6.  Improving the Drug Development Pipeline for Mycobacteria: Modelling Antibiotic Exposure in the Hollow Fibre Infection Model.

Authors:  Arundhati Maitra; Priya Solanki; Zahra Sadouki; Timothy D McHugh; Frank Kloprogge
Journal:  Antibiotics (Basel)       Date:  2021-12-10

Review 7.  Pre-Clinical Tools for Predicting Drug Efficacy in Treatment of Tuberculosis.

Authors:  Hasmik Margaryan; Dimitrios D Evangelopoulos; Leticia Muraro Wildner; Timothy D McHugh
Journal:  Microorganisms       Date:  2022-02-26
  7 in total

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