Literature DB >> 30385322

Dose optimization of moxifloxacin and linezolid against tuberculosis using mathematical modeling and simulation.

M Tobias Heinrichs1, George L Drusano2, David L Brown2, Michael S Maynard2, Sherwin K B Sy3, Kenneth H Rand4, Charles A Peloquin5, Arnold Louie2, Hartmut Derendorf3.   

Abstract

INTRODUCTION: There is an urgent need for new anti-tuberculosis (TB) drugs and optimization of current TB treatment. Moxifloxacin and linezolid are valuable options for the treatment of drug-resistant TB; however, it is crucial to find a dose at which these drugs not only show high efficacy but also suppress the development of further drug resistance.
METHODS: Activity of moxifloxacin and linezolid against Mycobacterium tuberculosis was studied in the hollow-fiber infection model system in log-phase growth under neutral pH and slow growth in an acidic environment. Doses that achieved maximum bacterial kill while suppressing the emergence of drug resistance were determined. Through Monte Carlo simulations the quantitative output of this in vitro study was bridged to the human patient population to inform optimal dosage regimens while accounting for clinical minimum inhibitory concentration (MIC) distributions. RESULTS AND DISCUSSION: Moxifloxacin activity was significantly decreased in an acidified environment. The loss of activity was compensated by accumulation of the drug in TB lung lesions; therefore, moderate efficacy can be expected. Moxifloxacin 800 mg/day is the dose that most likely leads to resistance suppression while exerting maximum bacterial kill. Linezolid demonstrated very good activity even at a reduced pH. Linezolid 900 mg once-daily (QD) is likely to achieve a maximum killing effect and prevent the emergence of drug resistance; 600 mg QD in a robust drug regimen may have similar potential.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hollow-fiber infection model; Linezolid; Modeling and simulation; Moxifloxacin; Pharmacokinetics/pharmacodynamics; Tuberculosis

Mesh:

Substances:

Year:  2018        PMID: 30385322     DOI: 10.1016/j.ijantimicag.2018.10.012

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  11 in total

1.  Pharmacodynamics of Ceftazidime plus Avibactam against KPC-2-Bearing Isolates of Klebsiella pneumoniae in a Hollow Fiber Infection Model.

Authors:  G L Drusano; Ryan K Shields; Nino Mtchedlidze; M Hong Nguyen; Cornelius J Clancy; Michael Vicciarelli; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2019-07-25       Impact factor: 5.191

2.  Linezolid Population Pharmacokinetics in South African Adults with Drug-Resistant Tuberculosis.

Authors:  Mahmoud Tareq Abdelwahab; Sean Wasserman; James C M Brust; Keertan Dheda; Lubbe Wiesner; Neel R Gandhi; Robin M Warren; Frederick A Sirgel; Graeme Meintjes; Gary Maartens; Paolo Denti
Journal:  Antimicrob Agents Chemother       Date:  2021-09-20       Impact factor: 5.191

3.  Model-Based Exposure-Response Assessment for Spectinamide 1810 in a Mouse Model of Tuberculosis.

Authors:  Santosh Wagh; Chetan Rathi; Pradeep B Lukka; Keyur Parmar; Zaid Temrikar; Jiuyu Liu; Michael S Scherman; Richard E Lee; Gregory T Robertson; Anne J Lenaerts; Bernd Meibohm
Journal:  Antimicrob Agents Chemother       Date:  2021-08-23       Impact factor: 5.191

4.  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

5.  Fluoroquinolones in Drug-Resistant Tuberculosis: Culture Conversion and Pharmacokinetic/Pharmacodynamic Target Attainment To Guide Dose Selection.

Authors:  Mohammad H Al-Shaer; Wael A Alghamdi; Abdullah Alsultan; Guohua An; Shahriar Ahmed; Yosra Alkabab; Sayera Banu; Ketevan Barbakadze; Eric Houpt; Maia Kipiani; Lali Mikiashvili; J Peter Cegielski; Russell R Kempker; Scott K Heysell; Charles A Peloquin
Journal:  Antimicrob Agents Chemother       Date:  2019-06-24       Impact factor: 5.191

6.  Novel 6-Month Treatment for Drug-Resistant Tuberculosis, United States.

Authors:  Connie A Haley; Patricia Macias; Supriya Jasuja; Betsy A Jones; Marie-Claire Rowlinson; Roshni Jaimon; Pennelyn Onderko; Elaine Darnall; Maria E Gomez; Charles Peloquin; David Ashkin; Neela D Goswami
Journal:  Emerg Infect Dis       Date:  2020-11-23       Impact factor: 6.883

Review 7.  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

8.  Increased Moxifloxacin Dosing Among Patients With Multidrug-Resistant Tuberculosis With Low-Level Resistance to Moxifloxacin Did Not Improve Treatment Outcomes in a Tertiary Care Center in Mumbai, India.

Authors:  Jeffrey A Tornheim; Zarir F Udwadia; Prerna R Arora; Ishita Gajjar; Samridhi Sharma; Megha Karane; Namrata Sawant; Nisha Kharat; Alexander J Blum; Shri Vijay Bala Yogendra Shivakumar; Akshay N Gupte; Nikhil Gupte; Jai B Mullerpattan; Lancelot M Pinto; Tester F Ashavaid; Amita Gupta; Camilla Rodrigues
Journal:  Open Forum Infect Dis       Date:  2021-12-23       Impact factor: 3.835

9.  Expert consensus statement on therapeutic drug monitoring and individualization of linezolid.

Authors:  Bin Lin; Yangmin Hu; Ping Xu; Tao Xu; Chunyan Chen; Le He; Mi Zhou; Zhangzhang Chen; Chunhong Zhang; Xuben Yu; Luo Fang; Junfeng Zhu; Yanlan Ji; Qun Lin; Hengbin Cao; Youqin Dai; Xiaoyan Lu; Changcheng Shi; Li Li; Changjiang Wang; Xumei Li; Qiongyan Fang; Jing Miao; Zhengyi Zhu; Guangyong Lin; Haichao Zhan; Shiwen Lv; Yalan Zhu; Xinjun Cai; Yin Ying; Meng Chen; Qiong Xu; Yiwen Zhang; Yubin Xu; Pea Federico; Saiping Jiang; Haibin Dai
Journal:  Front Public Health       Date:  2022-08-10

Review 10.  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
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