Akshanth R Polepally1, Sven Mensing2, Amit Khatri3, Denise Beck2, Wei Liu3, Walid M Awni3, Rajeev M Menon3, Sandeep Dutta3. 1. AbbVie, Inc., Clinical Pharmacokinetics and Pharmacodynamics, 1 North Waukegan Road, R4PK, AP31-3, North Chicago, IL, 60064, USA. akshanth.r.polepally@abbvie.com. 2. AbbVie, Inc., Ludwigshafen, Germany. 3. AbbVie, Inc., Clinical Pharmacokinetics and Pharmacodynamics, 1 North Waukegan Road, R4PK, AP31-3, North Chicago, IL, 60064, USA.
Abstract
BACKGROUND AND OBJECTIVES: Paritaprevir is a direct-acting antiviral agent that is a component of approved multidrug regimens used in the treatment of hepatitis C virus (HCV) infection. A population pharmacokinetic model for paritaprevir was developed using data from formulation, bioavailability, and drug-drug interaction studies that evaluated the pharmacokinetics of paritaprevir (coadministered with ritonavir to enhance exposure) with or without ombitasvir and/or dasabuvir at different paritaprevir dose levels. METHODS: A non-linear mixed-effects modeling approach was applied to data from 12 phase I, single- and multiple-dose studies that enrolled a total of 369 healthy volunteers. Age, sex, race, ethnicity, body weight, body surface area, body mass index, and baseline creatinine clearance were evaluated as covariates during model development. In addition, the influences of dose, formulation, and concomitant medications (e.g. ombitasvir and dasabuvir) on paritaprevir bioavailability were included in the model. RESULTS: A two-compartment model with first-order absorption and elimination optimally described paritaprevir plasma concentration-time data. Paritaprevir bioavailability was formulation- and dose-dependent, and increased supraproportionally. The accumulation of paritaprevir was 1.57-fold on repeated dosing compared with the first dose. Coadministration of dasabuvir increased paritaprevir bioavailability by 59 %; however, ombitasvir coadministration did not affect the pharmacokinetic profile of paritaprevir. No subject-specific covariate influenced the paritaprevir pharmacokinetics. The pharmacokinetic model was robust in bootstrap evaluations and was consistent with observed data based on diagnostic goodness-of-fit plots and visual predictive checks. CONCLUSION: The complex pharmacokinetics of paritaprevir were well described by the model, which can be used as a basis for clinical trial dosing and further evaluations in patients with HCV.
BACKGROUND AND OBJECTIVES:Paritaprevir is a direct-acting antiviral agent that is a component of approved multidrug regimens used in the treatment of hepatitis C virus (HCV) infection. A population pharmacokinetic model for paritaprevir was developed using data from formulation, bioavailability, and drug-drug interaction studies that evaluated the pharmacokinetics of paritaprevir (coadministered with ritonavir to enhance exposure) with or without ombitasvir and/or dasabuvir at different paritaprevir dose levels. METHODS: A non-linear mixed-effects modeling approach was applied to data from 12 phase I, single- and multiple-dose studies that enrolled a total of 369 healthy volunteers. Age, sex, race, ethnicity, body weight, body surface area, body mass index, and baseline creatinine clearance were evaluated as covariates during model development. In addition, the influences of dose, formulation, and concomitant medications (e.g. ombitasvir and dasabuvir) on paritaprevir bioavailability were included in the model. RESULTS: A two-compartment model with first-order absorption and elimination optimally described paritaprevir plasma concentration-time data. Paritaprevir bioavailability was formulation- and dose-dependent, and increased supraproportionally. The accumulation of paritaprevir was 1.57-fold on repeated dosing compared with the first dose. Coadministration of dasabuvir increased paritaprevir bioavailability by 59 %; however, ombitasvir coadministration did not affect the pharmacokinetic profile of paritaprevir. No subject-specific covariate influenced the paritaprevir pharmacokinetics. The pharmacokinetic model was robust in bootstrap evaluations and was consistent with observed data based on diagnostic goodness-of-fit plots and visual predictive checks. CONCLUSION: The complex pharmacokinetics of paritaprevir were well described by the model, which can be used as a basis for clinical trial dosing and further evaluations in patients with HCV.
Authors: Peter Ferenci; David Bernstein; Jacob Lalezari; Daniel Cohen; Yan Luo; Curtis Cooper; Edward Tam; Rui T Marinho; Naoky Tsai; Anders Nyberg; Terry D Box; Ziad Younes; Pedram Enayati; Sinikka Green; Yaacov Baruch; Bal Raj Bhandari; Florin Alexandru Caruntu; Thomas Sepe; Vladimir Chulanov; Ewa Janczewska; Giuliano Rizzardini; Judit Gervain; Ramon Planas; Christophe Moreno; Tarek Hassanein; Wangang Xie; Martin King; Thomas Podsadecki; K Rajender Reddy Journal: N Engl J Med Date: 2014-05-04 Impact factor: 91.245
Authors: Stefan Zeuzem; Ira M Jacobson; Tolga Baykal; Rui T Marinho; Fred Poordad; Marc Bourlière; Mark S Sulkowski; Heiner Wedemeyer; Edward Tam; Paul Desmond; Donald M Jensen; Adrian M Di Bisceglie; Peter Varunok; Tarek Hassanein; Junyuan Xiong; Tami Pilot-Matias; Barbara DaSilva-Tillmann; Lois Larsen; Thomas Podsadecki; Barry Bernstein Journal: N Engl J Med Date: 2014-04-10 Impact factor: 91.245
Authors: Akshanth R Polepally; Sandeep Dutta; Beibei Hu; Thomas J Podsadecki; Walid M Awni; Rajeev M Menon Journal: Clin Pharmacol Drug Dev Date: 2016-01-24
Authors: Jane P Messina; Isla Humphreys; Abraham Flaxman; Anthony Brown; Graham S Cooke; Oliver G Pybus; Eleanor Barnes Journal: Hepatology Date: 2014-07-28 Impact factor: 17.425
Authors: Kris V Kowdley; Eric Lawitz; Fred Poordad; Daniel E Cohen; David R Nelson; Stefan Zeuzem; Gregory T Everson; Paul Kwo; Graham R Foster; Mark S Sulkowski; Wangang Xie; Tami Pilot-Matias; George Liossis; Lois Larsen; Amit Khatri; Thomas Podsadecki; Barry Bernstein Journal: N Engl J Med Date: 2014-01-16 Impact factor: 91.245
Authors: Fred Poordad; Eric Lawitz; Kris V Kowdley; Daniel E Cohen; Thomas Podsadecki; Sara Siggelkow; Michele Heckaman; Lois Larsen; Rajeev Menon; Gennadiy Koev; Rakesh Tripathi; Tami Pilot-Matias; Barry Bernstein Journal: N Engl J Med Date: 2013-01-03 Impact factor: 91.245
Authors: Prajakta S Badri; Jennifer R King; Akshanth R Polepally; Barbara H McGovern; Sandeep Dutta; Rajeev M Menon Journal: Clin Pharmacokinet Date: 2016-03 Impact factor: 6.447
Authors: Sathej M Gopalakrishnan; Akshanth R Polepally; Sven Mensing; Amit Khatri; Rajeev M Menon Journal: Clin Pharmacokinet Date: 2017-01 Impact factor: 6.447