Literature DB >> 33468465

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

G L Drusano1, Stephanie Rogers2, David Brown2, C A Peloquin3, Michael Neely4, Walter Yamada4, Sarah Kim5, Mohammed Almoslem5, Stephan Schmidt5, Arnold Louie2.   

Abstract

The repurposed agent moxifloxacin has become an important addition to the physician's armamentarium for the therapy of Mycobacterium tuberculosis When a drug is administered, we need to have metrics for success. As for most antimicrobial chemotherapy, we contend that for Mycobacterium tuberculosis therapy, these metrics should be a decline in the susceptible bacterial burden and the suppression of amplification of less-susceptible populations. To achieve optimal outcomes relative to these metrics, a dose and schedule of administration need to be chosen. For large populations of patients, there are true between-patient differences in important pharmacokinetic parameters. These distributions of parameter values may have an impact on these metrics, depending on what measure of drug exposure drives the metrics. To optimize dose and schedule choice of moxifloxacin, we performed a dose fractionation experiment in the hollow fiber infection model. We examined 12-, 24-, and 48-h dosing intervals with doses of 200, 400, and 800 mg for each interval, respectively. Within each interval, we had an arm where half-lives of 12, 8, and 4 h were simulated. We attempted to keep the average concentration (C avg) or area under the concentration-time curve (AUC) constant across arms. We found that susceptible bacterial load decline was linked to C avg, as we had indicated previously. Resistance suppression, a nonmonotonic function, had minimum concentration (C min) as the linked index. The 48-h interval with the 4-h half-life had the largest less-susceptible population. Balancing bacterial kill, resistance suppression, toxicity (linked to peak concentration [C peak]), and adherence, we conclude that the dose of 400 mg daily is optimal for moxifloxacin.
Copyright © 2021 American Society for Microbiology.

Entities:  

Keywords:  Mycobacterium tuberculosis; dose fractionation; mathematical modeling; pharmacodynamics; resistance suppression

Year:  2021        PMID: 33468465      PMCID: PMC8097450          DOI: 10.1128/AAC.02533-20

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


  20 in total

Review 1.  Suppression of Emergence of Resistance in Pathogenic Bacteria: Keeping Our Powder Dry, Part 1.

Authors:  G L Drusano; Arnold Louie; Alasdair MacGowan; William Hope
Journal:  Antimicrob Agents Chemother       Date:  2015-12-28       Impact factor: 5.191

2.  QT prolongation and proarrhythmia by moxifloxacin: concordance of preclinical models in relation to clinical outcome.

Authors:  Xian Chen; Jessica D Cass; Jenifer A Bradley; Corinn M Dahm; Zhuoqian Sun; Edmund Kadyszewski; Michael J Engwall; Jun Zhou
Journal:  Br J Pharmacol       Date:  2005-11       Impact factor: 8.739

3.  Impact of spore biology on the rate of kill and suppression of resistance in Bacillus anthracis.

Authors:  G L Drusano; O O Okusanya; A O Okusanya; B van Scoy; D L Brown; C Fregeau; R Kulawy; M Kinzig; F Sörgel; H S Heine; A Louie
Journal:  Antimicrob Agents Chemother       Date:  2009-08-17       Impact factor: 5.191

4.  Pharmacokinetic determinants of virological response to raltegravir in the in vitro pharmacodynamic hollow-fiber infection model system.

Authors:  Ashley N Brown; Jonathan R Adams; Dodge L Baluya; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2015-04-13       Impact factor: 5.191

5.  Moxifloxacin, ofloxacin, sparfloxacin, and ciprofloxacin against Mycobacterium tuberculosis: evaluation of in vitro and pharmacodynamic indices that best predict in vivo efficacy.

Authors:  Radha K Shandil; Ramesh Jayaram; Parvinder Kaur; Sheshagiri Gaonkar; B L Suresh; B N Mahesh; R Jayashree; Vrinda Nandi; Sowmya Bharath; V Balasubramanian
Journal:  Antimicrob Agents Chemother       Date:  2006-12-04       Impact factor: 5.191

Review 6.  Pharmacokinetic/Pharmacodynamics-Optimized Antimicrobial Therapy in Patients with Hospital-Acquired Pneumonia/Ventilator-Associated Pneumonia.

Authors:  Helmi Sulaiman; Mohd H Abdul-Aziz; Jason A Roberts
Journal:  Semin Respir Crit Care Med       Date:  2017-06-04       Impact factor: 3.119

7.  Concentration-dependent Mycobacterium tuberculosis killing and prevention of resistance by rifampin.

Authors:  Tawanda Gumbo; Arnold Louie; Mark R Deziel; Weiguo Liu; Linda M Parsons; Max Salfinger; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2007-08-27       Impact factor: 5.191

8.  Drug-associated adverse events in the treatment of multidrug-resistant tuberculosis: an individual patient data meta-analysis.

Authors:  Zhiyi Lan; Nafees Ahmad; Parvaneh Baghaei; Linda Barkane; Andrea Benedetti; Sarah K Brode; James C M Brust; Jonathon R Campbell; Vicky Wai Lai Chang; Dennis Falzon; Lorenzo Guglielmetti; Petros Isaakidis; Russell R Kempker; Maia Kipiani; Liga Kuksa; Christoph Lange; Rafael Laniado-Laborín; Payam Nahid; Denise Rodrigues; Rupak Singla; Zarir F Udwadia; Dick Menzies
Journal:  Lancet Respir Med       Date:  2020-03-17       Impact factor: 30.700

9.  Building Optimal Three-Drug Combination Chemotherapy Regimens.

Authors:  G L Drusano; Michael N Neely; Sarah Kim; Walter M Yamada; Stephan Schmidt; Brandon Duncanson; Jocelyn Nole; Nino Mtchedlidze; Charles A Peloquin; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2020-10-20       Impact factor: 5.938

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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  2 in total

1.  Updating the approaches to define susceptibility and resistance to anti-tuberculosis agents: implications for diagnosis and treatment.

Authors: 
Journal:  Eur Respir J       Date:  2022-04-14       Impact factor: 33.795

Review 2.  The Application of Hollow Fiber Cartridge in Biomedicine.

Authors:  Yixuan Hou; Kun Mi; Lei Sun; Kaixiang Zhou; Lei Wang; Lan Zhang; Zhenli Liu; Lingli Huang
Journal:  Pharmaceutics       Date:  2022-07-18       Impact factor: 6.525

  2 in total

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