Literature DB >> 28569994

Physiologically Based Pharmacokinetic Modeling for Predicting the Effect of Intrinsic and Extrinsic Factors on Darunavir or Lopinavir Exposure Coadministered With Ritonavir.

Christian Wagner1, Ping Zhao2, Vikram Arya1, Charu Mullick3, Kimberly Struble3, Stanley Au1.   

Abstract

Management of comorbidities and medications is complex in HIV-1-infected patients. The overall objective of this project was to develop separate physiologically based pharmacokinetic (PBPK) substrate models for the protease inhibitors darunavir and lopinavir. These protease inhibitors are used in the treatment of HIV infection. Both darunavir and lopinavir are coadministered with another medication that inhibits cytochrome (CYP) 3A. The current project focused on PBPK modeling for darunavir and lopinavir coadministered with ritonavir. Darunavir and lopinavir PBPK models that accounted for ritonavir CYP3A inhibition effects (linked PBPK models) were developed. The linked PBPK models were then used to predict the effect on darunavir or lopinavir exposure from CYP modulators. In the next step, the predicted effect of hepatic impairment was evaluated. Additional exploratory analyses predicted CYP3A inhibition effects on darunavir or lopinavir exposure in simulated hepatically impaired subjects. The linked PBPK models reasonably predicted darunavir or lopinavir exposure based on simulations with CYP inhibitors or inducers. Exploratory simulations using the linked darunavir or lopinavir PBPK models indicated CYP3A inhibition may further increase darunavir or lopinavir exposure in patients with hepatic impairment.
© 2017, The American College of Clinical Pharmacology.

Entities:  

Keywords:  darunavir; drug interactions; hepatic impairment; lopinavir; physiologically based pharmacokinetic modeling; protease inhibitors

Mesh:

Substances:

Year:  2017        PMID: 28569994      PMCID: PMC5591066          DOI: 10.1002/jcph.936

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  13 in total

1.  Applications of physiologically based pharmacokinetic (PBPK) modeling and simulation during regulatory review.

Authors:  P Zhao; L Zhang; J A Grillo; Q Liu; J M Bullock; Y J Moon; P Song; S S Brar; R Madabushi; T C Wu; B P Booth; N A Rahman; K S Reynolds; E Gil Berglund; L J Lesko; S-M Huang
Journal:  Clin Pharmacol Ther       Date:  2010-12-29       Impact factor: 6.875

Review 2.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

3.  A semi-mechanistic model to predict the effects of liver cirrhosis on drug clearance.

Authors:  Trevor N Johnson; Koen Boussery; Karen Rowland-Yeo; Geoffrey T Tucker; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2010-03       Impact factor: 6.447

Review 4.  The Application of Physiologically Based Pharmacokinetic Modeling to Predict the Role of Drug Transporters: Scientific and Regulatory Perspectives.

Authors:  Yuzhuo Pan; Vicky Hsu; Manuela Grimstein; Lei Zhang; Vikram Arya; Vikram Sinha; Joseph A Grillo; Ping Zhao
Journal:  J Clin Pharmacol       Date:  2016-07       Impact factor: 3.126

5.  Pharmacokinetics of multiple-dose darunavir in combination with low-dose ritonavir in individuals with mild-to-moderate hepatic impairment.

Authors:  Vanitha Sekar; Sabrina Spinosa-Guzman; Els De Paepe; Tanja Stevens; Frank Tomaka; Martine De Pauw; Richard M W Hoetelmans
Journal:  Clin Pharmacokinet       Date:  2010-05       Impact factor: 6.447

6.  The plasma and intracellular steady-state pharmacokinetics of lopinavir/ritonavir in HIV-1-infected patients.

Authors:  Kristel M L Crommentuyn; Jan W Mulder; Albert T A Mairuhu; Eric C M van Gorp; Pieter L Meenhorst; Alwin D R Huitema; Jos H Beijnen
Journal:  Antivir Ther       Date:  2004-10

7.  Once-daily versus twice-daily lopinavir/ritonavir in antiretroviral-naive HIV-positive patients: a 48-week randomized clinical trial.

Authors:  Joseph J Eron; Judith Feinberg; Harold A Kessler; Harold W Horowitz; Mallory D Witt; Felix F Carpio; David A Wheeler; Peter Ruane; Donna Mildvan; Bienvenido G Yangco; Richard Bertz; Barry Bernstein; Martin S King; Eugene Sun
Journal:  J Infect Dis       Date:  2004-01-07       Impact factor: 5.226

8.  Predicting the Effect of CYP3A Inducers on the Pharmacokinetics of Substrate Drugs Using Physiologically Based Pharmacokinetic (PBPK) Modeling: An Analysis of PBPK Submissions to the US FDA.

Authors:  Christian Wagner; Yuzhuo Pan; Vicky Hsu; Vikram Sinha; Ping Zhao
Journal:  Clin Pharmacokinet       Date:  2016-04       Impact factor: 6.447

Review 9.  Pharmacokinetics, efficacy, and safety of darunavir/ritonavir 800/100 mg once-daily in treatment-naïve and -experienced patients.

Authors:  Marta Boffito; Diego Miralles; Andrew Hill
Journal:  HIV Clin Trials       Date:  2008 Nov-Dec

10.  Pharmacokinetics of darunavir/ritonavir and ketoconazole following co-administration in HIV-healthy volunteers.

Authors:  Vanitha J Sekar; Eric Lefebvre; Martine De Pauw; Tony Vangeneugden; Richard M Hoetelmans
Journal:  Br J Clin Pharmacol       Date:  2008-04-08       Impact factor: 4.335

View more
  5 in total

Review 1.  Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives.

Authors:  Flavia Storelli; Caroline Samer; Jean-Luc Reny; Jules Desmeules; Youssef Daali
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

2.  A Comparative Analysis of Physiologically Based Pharmacokinetic Models for Human Immunodeficiency Virus and Tuberculosis Infections.

Authors:  Sinenhlanhla Mtshali; Byron A Jacobs
Journal:  Antimicrob Agents Chemother       Date:  2022-07-19       Impact factor: 5.938

3.  Effect of Hepatic Impairment on the Pharmacokinetics of Alectinib.

Authors:  Peter N Morcos; Yumi Cleary; Carolina Sturm-Pellanda; Elena Guerini; Markus Abt; Massimiliano Donzelli; Faye Vazvaei; Bogdana Balas; Neil Parrott; Li Yu
Journal:  J Clin Pharmacol       Date:  2018-07-27       Impact factor: 3.126

4.  Successful Prediction of Human Fetal Exposure to P-Glycoprotein Substrate Drugs Using the Proteomics-Informed Relative Expression Factor Approach and PBPK Modeling and Simulation.

Authors:  Olena Anoshchenko; Flavia Storelli; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2021-08-23       Impact factor: 3.922

5.  Physiologically-Based Pharmacokinetic Modeling to Predict the Clinical Efficacy of the Coadministration of Lopinavir and Ritonavir against SARS-CoV-2.

Authors:  Aarzoo Thakur; Shawn Pei Feng Tan; James Chun Yip Chan
Journal:  Clin Pharmacol Ther       Date:  2020-10-06       Impact factor: 6.903

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.