Literature DB >> 23835883

A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction.

A B Ke1, S C Nallani, P Zhao, A Rostami-Hodjegan, J D Unadkat.   

Abstract

Besides logistical and ethical concerns, evaluation of safety and efficacy of medications in pregnant women is complicated by marked changes in pharmacokinetics (PK) of drugs. For example, CYP3A activity is induced during the third trimester (T3). We explored whether a previously published physiologically based pharmacokinetic (PBPK) model could quantitatively predict PK profiles of CYP3A-metabolized drugs during T3, and discern the site of CYP3A induction (i.e., liver, intestine, or both). The model accounted for gestational age-dependent changes in maternal physiological function and hepatic CYP3A activity. For model verification, mean plasma area under the curve (AUC), peak plasma concentration (Cmax), and trough plasma concentration (Cmin) of midazolam (MDZ), nifedipine (NIF), and indinavir (IDV) were predicted and compared with published studies. The PBPK model successfully predicted MDZ, NIF, and IDV disposition during T3. A sensitivity analysis suggested that CYP3A induction in T3 is most likely hepatic and not intestinal. Our PBPK model is a useful tool to evaluate different dosing regimens during T3 for drugs cleared primarily via CYP3A metabolism.CPT: Pharmacometrics & Systems Pharmacology (2012) 1, e3; doi:10.1038/psp.2012.2; advance online publication 26 September 2012.

Entities:  

Year:  2012        PMID: 23835883      PMCID: PMC3606941          DOI: 10.1038/psp.2012.2

Source DB:  PubMed          Journal:  CPT Pharmacometrics Syst Pharmacol        ISSN: 2163-8306


  40 in total

1.  Simultaneous investigation of indinavir nonlinear pharmacokinetics and bioavailability in healthy volunteers using stable isotope labeling technique: study design and model-independent data analysis.

Authors:  K C Yeh; J A Stone; A D Carides; P Rolan; E Woolf; W D Ju
Journal:  J Pharm Sci       Date:  1999-05       Impact factor: 3.534

2.  Complex drug interactions of HIV protease inhibitors 2: in vivo induction and in vitro to in vivo correlation of induction of cytochrome P450 1A2, 2B6, and 2C9 by ritonavir or nelfinavir.

Authors:  Brian J Kirby; Ann C Collier; Evan D Kharasch; Vaishali Dixit; Pankaj Desai; Dale Whittington; Kenneth E Thummel; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2011-09-19       Impact factor: 3.922

3.  Anatomical, physiological and metabolic changes with gestational age during normal pregnancy: a database for parameters required in physiologically based pharmacokinetic modelling.

Authors:  Khaled Abduljalil; Penny Furness; Trevor N Johnson; Amin Rostami-Hodjegan; Hora Soltani
Journal:  Clin Pharmacokinet       Date:  2012-06-01       Impact factor: 6.447

4.  A pregnancy physiologically based pharmacokinetic (p-PBPK) model for disposition of drugs metabolized by CYP1A2, CYP2D6 and CYP3A4.

Authors:  Lu Gaohua; Khaled Abduljalil; Masoud Jamei; Trevor N Johnson; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2012-11       Impact factor: 4.335

5.  Physiologically based pharmacokinetic model of midazolam disposition during pregnancy.

Authors:  Marilee A Andrew; Mary F Hebert; Paolo Vicini
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

Review 6.  Physiologically-based pharmacokinetic (PBPK) models for assessing the kinetics of xenobiotics during pregnancy: achievements and shortcomings.

Authors:  G Lu; K Abduljalil; M Jamei; T N Johnson; H Soltani; A Rostami-Hodjegan
Journal:  Curr Drug Metab       Date:  2012-07       Impact factor: 3.731

7.  Pharmacokinetics and safety of indinavir in human immunodeficiency virus-infected pregnant women.

Authors:  Jashvant D Unadkat; Diane W Wara; Michael D Hughes; Anita A Mathias; Diane T Holland; Mary E Paul; James Connor; Sharon Huang; Bach-Yen Nguyen; D Heather Watts; Lynne M Mofenson; Elizabeth Smith; Paul Deutsch; Kathleen A Kaiser; Ruth E Tuomala
Journal:  Antimicrob Agents Chemother       Date:  2006-12-11       Impact factor: 5.191

8.  Effect of pregnancy, mode of administration and neonatal age on the pharmacokinetics of zalcitabine (2', 3'-dideoxycytidine) in the pigtailed macaque (Macaca nemestrina).

Authors:  T Tuntland; C Nosbisch; J D Unadkat
Journal:  J Antimicrob Chemother       Date:  1997-11       Impact factor: 5.790

9.  Oral nifedipine pharmacokinetics in pregnancy-induced hypertension.

Authors:  R R Prevost; S A Akl; W D Whybrew; B M Sibai
Journal:  Pharmacotherapy       Date:  1992       Impact factor: 4.705

Review 10.  A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates.

Authors:  Masoud Jamei; Gemma L Dickinson; Amin Rostami-Hodjegan
Journal:  Drug Metab Pharmacokinet       Date:  2009       Impact factor: 3.614

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  43 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

2.  Expansion of a PBPK model to predict disposition in pregnant women of drugs cleared via multiple CYP enzymes, including CYP2B6, CYP2C9 and CYP2C19.

Authors:  Alice Ban Ke; Srikanth C Nallani; Ping Zhao; Amin Rostami-Hodjegan; Jashvant D Unadkat
Journal:  Br J Clin Pharmacol       Date:  2014-03       Impact factor: 4.335

3.  Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model I: Insights into Factors that Determine Fetal Drug Exposure through Simulations and Sensitivity Analyses.

Authors:  Zufei Zhang; Marjorie Z Imperial; Gabriela I Patilea-Vrana; Janak Wedagedera; Lu Gaohua; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2017-06-06       Impact factor: 3.922

4.  Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model II: Verification of the model for passive placental permeability drugs.

Authors:  Zufei Zhang; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2017-01-03       Impact factor: 3.922

5.  Prediction of human fetal pharmacokinetics using ex vivo human placenta perfusion studies and physiologically based models.

Authors:  Maïlys De Sousa Mendes; Deborah Hirt; Cécile Vinot; Elodie Valade; Gabrielle Lui; Claire Pressiat; Naïm Bouazza; Frantz Foissac; Stephane Blanche; Minh Patrick Lê; Gilles Peytavin; Jean-Marc Treluyer; Saik Urien; Sihem Benaboud
Journal:  Br J Clin Pharmacol       Date:  2016-01-12       Impact factor: 4.335

Review 6.  Optimizing nanomedicine pharmacokinetics using physiologically based pharmacokinetics modelling.

Authors:  Darren Michael Moss; Marco Siccardi
Journal:  Br J Pharmacol       Date:  2014-07-02       Impact factor: 8.739

7.  Characterization of Maternal and Fetal CYP3A-Mediated Progesterone Metabolism.

Authors:  Sara K Quinney; Tara Benjamin; Xiaomei Zheng; Avinash S Patil
Journal:  Fetal Pediatr Pathol       Date:  2017-09-26       Impact factor: 0.958

8.  Drug metabolism and transport during pregnancy: how does drug disposition change during pregnancy and what are the mechanisms that cause such changes?

Authors:  Nina Isoherranen; Kenneth E Thummel
Journal:  Drug Metab Dispos       Date:  2013-02       Impact factor: 3.922

9.  Pharmacokinetics of Increased Nelfinavir Plasma Concentrations in Women During Pregnancy and Postpartum.

Authors:  Ahizechukwu C Eke; Shelley A McCormack; Brookie M Best; Alice M Stek; Jiajia Wang; Regis Kreitchmann; David Shapiro; Elizabeth Smith; Lynne M Mofenson; Edmund V Capparelli; Mark Mirochnick
Journal:  J Clin Pharmacol       Date:  2018-10-25       Impact factor: 3.126

10.  A physiologically based pharmacokinetic model to predict disposition of CYP2D6 and CYP1A2 metabolized drugs in pregnant women.

Authors:  Alice Ban Ke; Srikanth C Nallani; Ping Zhao; Amin Rostami-Hodjegan; Nina Isoherranen; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2013-01-25       Impact factor: 3.922

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