Literature DB >> 29661865

Modeling and Simulation of Pretomanid Pharmacokinetics in Pulmonary Tuberculosis Patients.

Michael A Lyons1.   

Abstract

Pretomanid is a nitroimidazole antibiotic in late-phase clinical testing as a component of several novel antituberculosis (anti-TB) regimens. A population pharmacokinetic model for pretomanid was constructed using a Bayesian analysis of data from two phase 2 studies, PA-824-CL-007 and PA-824-CL-010, conducted with adult (median age, 27 years) patients in Cape Town, South Africa, with newly diagnosed pulmonary TB. Combined, these studies included 63 males and 59 females administered once-daily oral pretomanid doses of 50, 100, 150, 200, 600, 1,000, or 1,200 mg for 14 days. The observed pretomanid plasma concentration-time profiles for all tested doses were described by a one-compartment model with first-order absorption and elimination and a sigmoidal bioavailability dependent on dose, time, and the predose fed state. Allometric scaling with body weight (normalized to 70 kg) was used for volume of distribution and clearance, with the scaling exponents equal to 1 and 3/4, respectively. The posterior population geometric means for the clearance and volume of distribution allometric constants were 4.8 ± 0.2 liters/h and 130 ± 5 liters, respectively, and the posterior population geometric mean for the half-maximum-effect dose for the reduction of bioavailability was 450 ± 50 mg. Interindividual variability, described by the percent coefficient of variation, was 32% ± 3% for clearance, 17% ± 4% for the volume of distribution, and 74% ± 9% for the half-maximum-effect dose. This model provides a dose-exposure relationship for pretomanid in adult TB patients with potential applications to dose selection in individuals and to further clinical testing of novel pretomanid-containing anti-TB regimens.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  PA-824; mathematical model; pharmacokinetics; population pharmacokinetics; pretomanid; tuberculosis

Mesh:

Substances:

Year:  2018        PMID: 29661865      PMCID: PMC6021621          DOI: 10.1128/AAC.02359-17

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


  49 in total

1.  Effect of a high-calorie, high-fat meal on the bioavailability and pharmacokinetics of PA-824 in healthy adult subjects.

Authors:  Helen Winter; Ann Ginsberg; Erica Egizi; Ngozi Erondu; Karl Whitney; Elliott Pauli; Daniel Everitt
Journal:  Antimicrob Agents Chemother       Date:  2013-08-26       Impact factor: 5.191

2.  Population pharmacokinetics of linezolid in adults with pulmonary tuberculosis.

Authors:  Bryan McGee; Reynaldo Dietze; David Jamil Hadad; Lucilia Pereira Dutra Molino; Ethel Leonor Noia Maciel; W Henry Boom; Moises Palaci; John L Johnson; Charles A Peloquin
Journal:  Antimicrob Agents Chemother       Date:  2009-06-29       Impact factor: 5.191

Review 3.  Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling.

Authors:  B Meibohm; H Derendorf
Journal:  Int J Clin Pharmacol Ther       Date:  1997-10       Impact factor: 1.366

4.  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

5.  Prediction of Drug Penetration in Tuberculosis Lesions.

Authors:  Jansy P Sarathy; Fabio Zuccotto; Ho Hsinpin; Lars Sandberg; Laura E Via; Gwendolyn A Marriner; Thierry Masquelin; Paul Wyatt; Peter Ray; Véronique Dartois
Journal:  ACS Infect Dis       Date:  2016-07-06       Impact factor: 5.084

6.  Population pharmacokinetics of levofloxacin, gatifloxacin, and moxifloxacin in adults with pulmonary tuberculosis.

Authors:  Charles A Peloquin; David Jamil Hadad; Lucilia Pereira Dutra Molino; Moises Palaci; W Henry Boom; Reynaldo Dietze; John L Johnson
Journal:  Antimicrob Agents Chemother       Date:  2007-12-10       Impact factor: 5.191

7.  Comprehensive treatment of extensively drug-resistant tuberculosis.

Authors:  Carole D Mitnick; Sonya S Shin; Kwonjune J Seung; Michael L Rich; Sidney S Atwood; Jennifer J Furin; Garrett M Fitzmaurice; Felix A Alcantara Viru; Sasha C Appleton; Jaime N Bayona; Cesar A Bonilla; Katiuska Chalco; Sharon Choi; Molly F Franke; Hamish S F Fraser; Dalia Guerra; Rocio M Hurtado; Darius Jazayeri; Keith Joseph; Karim Llaro; Lorena Mestanza; Joia S Mukherjee; Maribel Muñoz; Eda Palacios; Epifanio Sanchez; Alexander Sloutsky; Mercedes C Becerra
Journal:  N Engl J Med       Date:  2008-08-07       Impact factor: 91.245

8.  Statistical analysis of Clewell et al. PBPK model of trichloroethylene kinetics.

Authors:  F Y Bois
Journal:  Environ Health Perspect       Date:  2000-05       Impact factor: 9.031

9.  Population Pharmacokinetics of Bedaquiline and Metabolite M2 in Patients With Drug-Resistant Tuberculosis: The Effect of Time-Varying Weight and Albumin.

Authors:  E M Svensson; A-G Dosne; M O Karlsson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-11-08

10.  PA-824 kills nonreplicating Mycobacterium tuberculosis by intracellular NO release.

Authors:  Ramandeep Singh; Ujjini Manjunatha; Helena I M Boshoff; Young Hwan Ha; Pornwaratt Niyomrattanakit; Richard Ledwidge; Cynthia S Dowd; Ill Young Lee; Pilho Kim; Liang Zhang; Sunhee Kang; Thomas H Keller; Jan Jiricek; Clifton E Barry
Journal:  Science       Date:  2008-11-28       Impact factor: 63.714

View more
  9 in total

1.  Pretomanid Pharmacokinetics in the Presence of Rifamycins: Interim Results from a Randomized Trial among Patients with Tuberculosis.

Authors:  Elisa H Ignatius; Mahmoud Tareq Abdelwahab; Bronwyn Hendricks; Nikhil Gupte; Kim Narunsky; Lubbe Wiesner; Grace Barnes; Rodney Dawson; Kelly E Dooley; Paolo Denti
Journal:  Antimicrob Agents Chemother       Date:  2021-01-20       Impact factor: 5.191

2.  Modeling and Simulation of Pretomanid Pharmacodynamics in Pulmonary Tuberculosis Patients.

Authors:  Michael A Lyons
Journal:  Antimicrob Agents Chemother       Date:  2019-09-30       Impact factor: 5.191

3.  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

4.  Population Pharmacokinetics of the Antituberculosis Agent Pretomanid.

Authors:  David H Salinger; Vishak Subramoney; Daniel Everitt; Jerry R Nedelman
Journal:  Antimicrob Agents Chemother       Date:  2019-09-23       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

6.  Exact solutions and equi-dosing regimen regions for multi-dose pharmacokinetics models with transit compartments.

Authors:  F Hof; L J Bridge
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-10-10       Impact factor: 2.745

7.  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

8.  Phase 1 Study of the Effects of the Tuberculosis Treatment Pretomanid, Alone and in Combination With Moxifloxacin, on the QTc Interval in Healthy Volunteers.

Authors:  Mengchun Li; George A Saviolakis; Wael El-Amin; Mamodikoe K Makhene; Blaire Osborn; Jerry Nedelman; Tian J Yang; Daniel Everitt
Journal:  Clin Pharmacol Drug Dev       Date:  2020-12-30

Review 9.  Profiling Pretomanid as a Therapeutic Option for TB Infection: Evidence to Date.

Authors:  Stephani L Stancil; Fuad Mirzayev; Susan M Abdel-Rahman
Journal:  Drug Des Devel Ther       Date:  2021-06-28       Impact factor: 4.162

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.