Literature DB >> 31570404

Modeling and Simulation of Pretomanid Pharmacodynamics in Pulmonary Tuberculosis Patients.

Michael A Lyons1.   

Abstract

Pretomanid (PA-824) is a nitroimidazole in clinical testing for the treatment of tuberculosis. A population pharmacodynamic model for pretomanid was developed using a Bayesian analysis of efficacy data from two early bactericidal activity (EBA) studies, PA-824-CL-007 and PA-824-CL-010, conducted in Cape Town, South Africa. The two studies included 122 adult male and female participants with newly diagnosed pulmonary tuberculosis who received once daily oral pretomanid doses of either 50, 100, 150, 200, 600, 1,000, or 1,200 mg for 14 days. The structural model described capacity-limited growth and saturable drug-induced bacterial killing with separate rate equations for sputum solid culture colony forming unit (CFU) counts and liquid culture time to positivity (TTP) that were linked through a time constant. The posterior population geometric means and interindividual variability percent coefficients of variation were, respectively; 0.152±0.013 log10 CFU/mL sputum/day and 54%±6% for the maximum kill rate constant, 20.4±1.0 h and 20.8%±0.1% for the time constant of proportionality between the CFU and TTP rate equations, and 770±140 ng/mL and 48%±17% for the pretomanid half-maximum effect plasma concentration. Model simulations showed once daily pretomanid at 100 mg, 200 mg, and 300 mg, attained 58%, 73%, and 80%, respectively, of an expected maximum 14-day EBA of 0.136 log10CFU/mL sputum/day. These results establish a pretomanid exposure-efficacy relationship with dual outcomes for CFU counts and TTP, and with potential applications to dose optimization of pretomanid-containing regimens.
Copyright © 2019 American Society for Microbiology.

Entities:  

Year:  2019        PMID: 31570404      PMCID: PMC6879235          DOI: 10.1128/AAC.00732-19

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


  63 in total

1.  Early bactericidal activity and pharmacokinetics of PA-824 in smear-positive tuberculosis patients.

Authors:  Andreas H Diacon; Rodney Dawson; Madeleine Hanekom; Kim Narunsky; Stefan J Maritz; Amour Venter; Peter R Donald; Christo van Niekerk; Karl Whitney; Doris J Rouse; Martino W Laurenzi; Ann M Ginsberg; Melvin K Spigelman
Journal:  Antimicrob Agents Chemother       Date:  2010-05-24       Impact factor: 5.191

2.  Persister populations of Mycobacterium tuberculosis in sputum that grow in liquid but not on solid culture media.

Authors:  Jasvir Dhillon; P Bernard Fourie; Denis A Mitchison
Journal:  J Antimicrob Chemother       Date:  2013-09-26       Impact factor: 5.790

3.  Phase I safety, pharmacokinetics, and pharmacogenetics study of the antituberculosis drug PA-824 with concomitant lopinavir-ritonavir, efavirenz, or rifampin.

Authors:  Kelly E Dooley; Anne F Luetkemeyer; Jeong-Gun Park; Reena Allen; Yoninah Cramer; Stephen Murray; Deborah Sutherland; Francesca Aweeka; Susan L Koletar; Florence Marzan; Jing Bao; Rada Savic; David W Haas
Journal:  Antimicrob Agents Chemother       Date:  2014-06-23       Impact factor: 5.191

4.  Pharmacokinetic-pharmacodynamic modeling of activity of ceftazidime during continuous and intermittent infusion.

Authors:  J W Mouton; A A Vinks; N C Punt
Journal:  Antimicrob Agents Chemother       Date:  1997-04       Impact factor: 5.191

5.  TB Alliance regimen development for multidrug-resistant tuberculosis.

Authors:  S Murray; C Mendel; M Spigelman
Journal:  Int J Tuberc Lung Dis       Date:  2016-12-01       Impact factor: 2.373

6.  PA-824 exhibits time-dependent activity in a murine model of tuberculosis.

Authors:  Zahoor Ahmad; Charles A Peloquin; Rajendra P Singh; Hartmut Derendorf; Sandeep Tyagi; Ann Ginsberg; Jacques H Grosset; Eric L Nuermberger
Journal:  Antimicrob Agents Chemother       Date:  2010-10-11       Impact factor: 5.191

7.  Bactericidal and sterilizing activities of antituberculosis drugs during the first 14 days.

Authors:  Amina Jindani; Caroline J Doré; Denis A Mitchison
Journal:  Am J Respir Crit Care Med       Date:  2003-01-06       Impact factor: 21.405

8.  The relationship between Mycobacterium tuberculosis MGIT time to positivity and cfu in sputum samples demonstrates changing bacterial phenotypes potentially reflecting the impact of chemotherapy on critical sub-populations.

Authors:  Ruth Bowness; Martin J Boeree; Rob Aarnoutse; Rodney Dawson; Andreas Diacon; Chacha Mangu; Norbert Heinrich; Nyanda E Ntinginya; Anke Kohlenberg; Bariki Mtafya; Patrick P J Phillips; Andrea Rachow; Georgette Plemper van Balen; Stephen H Gillespie
Journal:  J Antimicrob Chemother       Date:  2014-10-25       Impact factor: 5.790

9.  Pharmacokinetics-pharmacodynamics analysis of bicyclic 4-nitroimidazole analogs in a murine model of tuberculosis.

Authors:  Suresh B Lakshminarayana; Helena I M Boshoff; Joseph Cherian; Sindhu Ravindran; Anne Goh; Jan Jiricek; Mahesh Nanjundappa; Amit Nayyar; Meera Gurumurthy; Ramandeep Singh; Thomas Dick; Francesca Blasco; Clifton E Barry; Paul C Ho; Ujjini H Manjunatha
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

10.  Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.

Authors:  T H T Nguyen; M-S Mouksassi; N Holford; N Al-Huniti; I Freedman; A C Hooker; J John; M O Karlsson; D R Mould; J J Pérez Ruixo; E L Plan; R Savic; J G C van Hasselt; B Weber; C Zhou; E Comets; F Mentré
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-02-10
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  2 in total

1.  Pharmacodynamics and Bactericidal Activity of Bedaquiline in Pulmonary Tuberculosis.

Authors:  Michael A Lyons
Journal:  Antimicrob Agents Chemother       Date:  2021-12-06       Impact factor: 5.938

2.  Pretomanid dose selection for pulmonary tuberculosis: An application of multi-objective optimization to dosage regimen design.

Authors:  Michael A Lyons
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-02-13
  2 in total

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