1
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Yan Y, Wang Q, Wu W, Yi H, Xie F. Evaluation of Various Approaches to Estimate Transplacental Clearance of Vancomycin for Predicting Fetal Concentrations using a Maternal-Fetal Physiologically Based Pharmacokinetic Model. Pharm Res 2024; 41:899-910. [PMID: 38684563 DOI: 10.1007/s11095-024-03705-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 04/16/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Evaluating drug transplacental clearance is vital for forecasting fetal drug exposure. Ex vivo human placenta perfusion experiments are the most suitable approach for this assessment. Various in silico methods are also proposed. This study aims to compare these prediction methods for drug transplacental clearance, focusing on the large molecular weight drug vancomycin (1449.3 g/mol), using maternal-fetal physiologically based pharmacokinetic (m-f PBPK) modeling. METHODS Ex vivo human placenta perfusion experiments, in silico approaches using intestinal permeability as a substitute (quantitative structure property relationship (QSPR) model and Caco-2 permeability in vitro-in vivo correlation model) and midazolam calibration model with Caco-2 scaling were assessed for determining the transplacental clearance (CLPD) of vancomycin. The m-f PBPK model was developed stepwise using Simcyp, incorporating the determined CLPD values as a crucial input parameter for transplacental kinetics. RESULTS The developed PBPK model of vancomycin for non-pregnant adults demonstrated excellent predictive performance. By incorporating the CLPD parameterization derived from ex vivo human placenta perfusion experiments, the extrapolated m-f PBPK model consistently predicted maternal and fetal concentrations of vancomycin across diverse doses and distinct gestational ages. However, when the CLPD parameter was derived from alternative prediction methods, none of the extrapolated maternal-fetal PBPK models produced fetal predictions in line with the observed data. CONCLUSION Our study showcased that combination of ex vivo human placenta perfusion experiments and m-f PBPK model has the capability to predict fetal exposure for the large molecular weight drug vancomycin, whereas other in silico approaches failed to achieve the same level of accuracy.
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Affiliation(s)
- Yunan Yan
- Division of Biopharmaceutics and Pharmacokinetics, Xiangya School of Pharmaceutical Sciences, Central South University, Tongzipo Road 172, Changsha, 410013, China
| | - Qiushi Wang
- Division of Biopharmaceutics and Pharmacokinetics, Xiangya School of Pharmaceutical Sciences, Central South University, Tongzipo Road 172, Changsha, 410013, China
| | - Wei Wu
- The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Department of Pharmacy, The First Hospital of Changsha, Changsha, China
| | - Hanxi Yi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, China
| | - Feifan Xie
- Division of Biopharmaceutics and Pharmacokinetics, Xiangya School of Pharmaceutical Sciences, Central South University, Tongzipo Road 172, Changsha, 410013, China.
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2
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Ait-Chikh C, Page G, Thoreau V. Physiologically-based pharmacokinetic models to predict drug exposure during pregnancy. ANNALES PHARMACEUTIQUES FRANÇAISES 2024; 82:236-242. [PMID: 37739215 DOI: 10.1016/j.pharma.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 09/15/2023] [Accepted: 09/16/2023] [Indexed: 09/24/2023]
Abstract
As pregnant women are constantly exposed to drugs during pregnancy, either to treat long-term conditions or acute illnesses, drug safety is a major concern for the fetus and the mother. Clinical trials are rarely made in this population due to strict regulation and ethical reasons. However, drug pharmacokinetic (PK) parameters vary during pregnancy with an increase in distribution volume, renal clearance and more. In addition, the fetal distribution should be evaluated with the importance of placental diffusion, both active and passive. Therefore, there is a recent interest in the use of physiologically-based pharmacokinetic (PBPK) modeling to characterize these changes and complete the sparse data available on drug PK during pregnancy. Indeed, PBPK models integrate drug physicochemical and physiological parameters corresponding to each compartment of the body to estimate drug concentrations. This review establishes an overview on the current use of PBPK models in drug dosage determination for the pregnant woman, fetal exposure and drug interactions in the fetal compartment.
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Affiliation(s)
- Celia Ait-Chikh
- Faculté de médecine et pharmacie, université de Poitiers, UFR médecine et pharmacie, bâtiment D1, 6, rue de la Milétrie, TSA 51115, 86073 Poitiers cedex 9, France.
| | - Guylène Page
- Faculté de médecine et pharmacie, université de Poitiers, UFR médecine et pharmacie, bâtiment D1, 6, rue de la Milétrie, TSA 51115, 86073 Poitiers cedex 9, France; Neurovascular Unit and Cognitive Disorders (NEUVACOD), pôle Biologie santé, université de Poitiers, Poitiers, France
| | - Vincent Thoreau
- Faculté de médecine et pharmacie, université de Poitiers, UFR médecine et pharmacie, bâtiment D1, 6, rue de la Milétrie, TSA 51115, 86073 Poitiers cedex 9, France; Neurovascular Unit and Cognitive Disorders (NEUVACOD), pôle Biologie santé, université de Poitiers, Poitiers, France
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3
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Scott RK, Yu Y, Marzinke MA, Coleman JS, Hendrix CW, Bies R. Clinical trial simulation to evaluate tenofovir disoproxil fumarate/emtricitabine HIV pre-exposure prophylaxis dosing during pregnancy. FRONTIERS IN REPRODUCTIVE HEALTH 2023; 5:1224580. [PMID: 37830105 PMCID: PMC10565828 DOI: 10.3389/frph.2023.1224580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/04/2023] [Indexed: 10/14/2023] Open
Abstract
Objective To evaluate upward-adjustment of tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) pre-exposure prophylaxis (PrEP) dosing during pregnancy in order to maintain target plasma concentrations associated with HIV protection. Design Population pharmacokinetic (PK) modeling and clinical trial simulation (CTS). Material and methods We developed population pharmacokinetic models for TFV and FTC using data from the Partners Demonstration Project and a PK study of TDF/FTC among cisgender women by Coleman et al., and performed an in-silico simulation. Pregnancy-trimester was identified as a significant covariate on apparent clearance in the optimized final model. We simulated 1,000 pregnant individuals starting standard daily oral TDF/FTC (300 mg/200 mg) prior to pregnancy. Upon becoming pregnant, simulated patients were split into two study arms: one continuing standard-dose and the other receiving double standard-dose throughout pregnancy. Results Standard-dose trough TFV concentrations were significantly lower in pregnancy compared to pre-pregnancy, with 34.0%, 43.8%, and 65.1% of trough plasma concentrations below the lower bound of expected trough concentrations presumed to be the protective threshold in the 1st, 2nd, and 3rd trimesters, respectively. By comparison, in the simulated double-dose group, 10.7%, 14.4%, and 27.8% of trough concentrations fell below the estimated protective thresholds in the 1st, 2nd, and 3rd trimesters, respectively. The FTC trough plasma concentration during pregnancy was also lower than pre-pregnancy, with 45.2% of the steady-state trough concentrations below the estimated protective trough concentrations of FTC. In the pregnancy-adjusted double-dose group, 24.1% of trough plasma concentrations were lower than protective levels. Conclusions Our simulation shows >50% of research participants on standard dosing would have 3rd trimester trough plasma TFV concentrations below levels associated with protection. This simulation provides the quantitative basis for the design of prospective TDF/FTC studies during pregnancy to evaluate the safety and appropriateness of pregnancy-adjusted dosing.
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Affiliation(s)
- Rachel K. Scott
- Women’s Health Research, MedStar Health Research Institute, Washington, DC, United States
| | - Yifan Yu
- Department of Pharmaceutical Sciences, University of Buffalo, Buffalo, NY, United States
| | - Mark A. Marzinke
- Division of Clinical Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jenell S. Coleman
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Craig W. Hendrix
- Division of Clinical Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Robert Bies
- Department of Pharmaceutical Sciences, University of Buffalo, Buffalo, NY, United States
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4
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Jacobs TG, de Hoop-Sommen MA, Nieuwenstein T, van der Heijden JEM, de Wildt SN, Burger DM, Colbers A, Freriksen JJM. Lamivudine and Emtricitabine Dosing Proposal for Children with HIV and Chronic Kidney Disease, Supported by Physiologically Based Pharmacokinetic Modelling. Pharmaceutics 2023; 15:pharmaceutics15051424. [PMID: 37242665 DOI: 10.3390/pharmaceutics15051424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
Dose recommendations for lamivudine or emtricitabine in children with HIV and chronic kidney disease (CKD) are absent or not supported by clinical data. Physiologically based pharmacokinetic (PBPK) models have the potential to facilitate dose selection for these drugs in this population. Existing lamivudine and emtricitabine compound models in Simcyp® (v21) were verified in adult populations with and without CKD and in non-CKD paediatric populations. We developed paediatric CKD population models reflecting subjects with a reduced glomerular filtration and tubular secretion, based on extrapolation from adult CKD population models. These models were verified using ganciclovir as a surrogate compound. Then, lamivudine and emtricitabine dosing strategies were simulated in virtual paediatric CKD populations. The compound and paediatric CKD population models were verified successfully (prediction error within 0.5- to 2-fold). The mean AUC ratios in children (GFR-adjusted dose in CKD population/standard dose in population with normal kidney function) were 1.15 and 1.23 for lamivudine, and 1.20 and 1.30 for emtricitabine, with grade-3- and -4-stage CKD, respectively. With the developed paediatric CKD population PBPK models, GFR-adjusted lamivudine and emtricitabine dosages in children with CKD resulted in adequate drug exposure, supporting paediatric GFR-adjusted dosing. Clinical studies are needed to confirm these findings.
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Affiliation(s)
- Tom G Jacobs
- Department of Pharmacy, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marika A de Hoop-Sommen
- Department of Pharmacology and Toxicology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Thomas Nieuwenstein
- Department of Pharmacy, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Joyce E M van der Heijden
- Department of Pharmacology and Toxicology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Saskia N de Wildt
- Department of Pharmacology and Toxicology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Department of Pediatrics, Erasmus MC-Sophia's Children's Hospital, 3015 CN Rotterdam, The Netherlands
| | - David M Burger
- Department of Pharmacy, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Angela Colbers
- Department of Pharmacy, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Jolien J M Freriksen
- Department of Pharmacology and Toxicology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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5
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Model-informed intermittent tenofovir disoproxil fumarate and emtricitabine dosing for HIV pre-exposure prophylaxis in subjects with renal impairment: a case report. AIDS 2023; 37:363-365. [PMID: 36541648 DOI: 10.1097/qad.0000000000003438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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6
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Mao Q, Chen X. An update on placental drug transport and its relevance to fetal drug exposure. MEDICAL REVIEW (2021) 2022; 2:501-511. [PMID: 37724167 PMCID: PMC10388746 DOI: 10.1515/mr-2022-0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/27/2022] [Indexed: 09/20/2023]
Abstract
Pregnant women are often complicated with diseases that require treatment with medication. Most drugs administered to pregnant women are off-label without the necessary dose, efficacy, and safety information. Knowledge concerning drug transfer across the placental barrier is essential for understanding fetal drug exposure and hence drug safety and efficacy to the fetus. Transporters expressed in the placenta, including adenosine triphosphate (ATP)-binding cassette efflux transporters and solute carrier uptake transporters, play important roles in determining drug transfer across the placental barrier, leading to fetal exposure to the drugs. In this review, we provide an update on placental drug transport, including in vitro cell/tissue, ex vivo human placenta perfusion, and in vivo animal studies that can be used to determine the expression and function of drug transporters in the placenta as well as placental drug transfer and fetal drug exposure. We also describe how the knowledge of placental drug transfer through passive diffusion or active transport can be combined with physiologically based pharmacokinetic modeling and simulation to predict systemic fetal drug exposure. Finally, we highlight knowledge gaps in studying placental drug transport and predicting fetal drug exposure and discuss future research directions to fill these gaps.
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Affiliation(s)
- Qingcheng Mao
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA
| | - Xin Chen
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA
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7
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van de Vusse D, Mian P, Schoenmakers S, Flint RB, Visser W, Allegaert K, Versmissen J. Pharmacokinetics of the most commonly used antihypertensive drugs throughout pregnancy methyldopa, labetalol, and nifedipine: a systematic review. Eur J Clin Pharmacol 2022; 78:1763-1776. [PMID: 36104450 PMCID: PMC9474278 DOI: 10.1007/s00228-022-03382-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/03/2022] [Indexed: 01/09/2023]
Abstract
Abstract
Purpose
Antihypertensive drugs are among the most prescribed drugs during pregnancy. Methyldopa, labetalol, and nifedipine have been perceived safe to use during pregnancy and are therefore recommended in international guidelines for treatment of hypertension. In this review, we provide a complete overview of what is known on the pharmacokinetics (PK) of the antihypertensive drugs methyldopa, labetalol, and nifedipine throughout pregnancy.
Methods
A systematic search was performed to retrieve studies on the PK of methyldopa, labetalol, and nifedipine used throughout pregnancy. The search was restricted to English and original studies. The systematic search was conducted on July 27, 2021, in Embase, Medline Ovid, Web of Science, Cochrane Library, and Google Scholar. Keywords were methyldopa, labetalol, nifedipine, pharmacokinetics, pregnancy, and placenta.
Results
A total of 1459 unique references were identified of which title and abstract were screened. Based on this screening, 67 full-text papers were assessed, to retain 30 PK studies of which 2 described methyldopa, 12 labetalol, and 16 nifedipine. No fetal accumulation is found for any of the antihypertensive drugs studied.
Conclusion
We conclude that despite decades of prescribing methyldopa, labetalol, and nifedipine throughout pregnancy, descriptions of their PK during pregnancy are hampered by a large heterogeneity in the low number of available studies. Aiming for evidence-based and personalized dosing of antihypertensive medication in the future, further studies on the relationship of both PK and pharmacodynamics (including the optimal blood pressure targeting) during pregnancy and pregnancy-related pathology are urgently needed to prevent undertreatment, overtreatment, and side effects.
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Affiliation(s)
- Dylan van de Vusse
- Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Clinical Pharmacy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Paola Mian
- Department of Clinical Pharmacy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, The Netherlands
| | - Sam Schoenmakers
- Obstetrics and Gynecology, Division Obstetrics and Prenatal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Robert B Flint
- Department of Clinical Pharmacy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Pediatrics, Division of Neonatology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Willy Visser
- Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Obstetrics and Gynecology, Division Obstetrics and Prenatal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Karel Allegaert
- Department of Clinical Pharmacy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Jorie Versmissen
- Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
- Department of Clinical Pharmacy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
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8
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Abduljalil K, Pansari A, Ning J, Jamei M. Prediction of Maternal and Fetal Acyclovir, Emtricitabine, Lamivudine, and Metformin Concentrations during Pregnancy Using a Physiologically Based Pharmacokinetic Modeling Approach. Clin Pharmacokinet 2022; 61:725-748. [DOI: 10.1007/s40262-021-01103-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2021] [Indexed: 12/20/2022]
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9
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Chaphekar N, Caritis S, Venkataramanan R. Model-Informed Dose Optimization in Pregnancy. J Clin Pharmacol 2021; 60 Suppl 1:S63-S76. [PMID: 33205432 DOI: 10.1002/jcph.1777] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/07/2020] [Indexed: 12/12/2022]
Abstract
Pregnancy is associated with several physiological changes that can alter the pharmacokinetics (PK) and pharmacodynamics of drugs. These may require dosing changes in pregnant women to achieve drug exposures comparable to the nonpregnant population. There is, however, limited information available on the PK and pharmacodynamics of drugs used during pregnancy. Practical difficulties in performing PK studies and potential liability issues are often the reasons for the availability of limited information. Over the past several years, there has been a rapid development in the application of various modeling strategies such as population PK and physiologically based PK modeling to provide guidance on drug dosing in this special patient population. Population PK models rely on measured PK data, whereas physiologically based PK models integrate physiological, preclinical, and clinical data to quantify changes in PK of drugs in various patient populations. These modeling strategies offer a promising approach to identify the drugs with PK changes during pregnancy and guide dose adjustment in pregnant women. This review focuses on PBPK modeling to guide drug therpay in pregnancy.
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Affiliation(s)
- Nupur Chaphekar
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Steve Caritis
- Department of Obstetrics, Gynecology and Reproductive Sciences, School of Medicine, Magee Womens Hospital of UPMC, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Raman Venkataramanan
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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10
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Cerveny L, Murthi P, Staud F. HIV in pregnancy: Mother-to-child transmission, pharmacotherapy, and toxicity. Biochim Biophys Acta Mol Basis Dis 2021; 1867:166206. [PMID: 34197912 DOI: 10.1016/j.bbadis.2021.166206] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 05/18/2021] [Accepted: 06/11/2021] [Indexed: 12/15/2022]
Abstract
An estimated 1.3 million pregnant women were living with HIV in 2018. HIV infection is associated with adverse pregnancy outcomes and all HIV-positive pregnant women, regardless of their clinical stage, should receive a combination of antiretroviral drugs to suppress maternal viral load and prevent vertical fetal infection. Although antiretroviral treatment in pregnant women has undoubtedly minimized mother-to-child transmission of HIV, several uncertainties remain. For example, while pregnancy is accompanied by changes in pharmacokinetic parameters, relevant data from clinical studies are lacking. Similarly, long-term adverse effects of exposure to antiretrovirals on fetuses have not been studied in detail. Here, we review current knowledge on HIV effects on the placenta and developing fetus, recommended antiretroviral regimens, and pharmacokinetic considerations with particular focus on placental transport. We also discuss recent advances in antiretroviral research and potential effects of antiretroviral treatment on placental/fetal development and programming.
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Affiliation(s)
- Lukas Cerveny
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic
| | - Padma Murthi
- Department of Medicine, School of Clinical Sciences, and Department of Pharmacology, Monash Biomedicine Discovery Institute Monash University, Clayton, Victoria, Australia; Hudson Institute of Medical Research, The Ritchie Centre, Clayton, Victoria, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Parkville, Victoria, Australia
| | - Frantisek Staud
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic.
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11
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Pillai VC, Shah M, Rytting E, Nanovskaya TN, Wang X, Clark SM, Ahmed MS, Hankins GDV, Caritis SN, Venkataramanan R. Prediction of maternal and fetal pharmacokinetics of indomethacin in pregnancy. Br J Clin Pharmacol 2021; 88:271-281. [PMID: 34185331 DOI: 10.1111/bcp.14960] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 05/29/2021] [Accepted: 06/20/2021] [Indexed: 12/29/2022] Open
Abstract
AIMS Indomethacin is used for the treatment of preterm labour, short cervices and idiopathic polyhydramnios during pregnancy. Few studies have described the pharmacokinetics (PK) of indomethacin during pregnancy. This study aimed to determine maternal and fetal PK of indomethacin during different trimesters of pregnancy using physiologically based PK (PBPK) modelling and simulations. METHODS Full PBPK simulations were performed in nonpregnant subjects and pregnant subjects from each trimester of pregnancy at steady state using Simcyp's healthy volunteers and pregnancy PBPK model, respectively. The fetal exposures were predicted using a fetoplacental pregnancy PBPK model. The models were verified by comparing PBPK-based predictions with observed PK profiles. RESULTS Predicted exposure (AUC0-6h ) and clearance of indomethacin in nonpregnant women and pregnant women are similar to the clinical observations. AUC0-6h of indomethacin is approximately 14, 24 and 32% lower, consistent with 18, 34 and 52% higher clearance in the first, second and third trimesters of pregnancy, respectively, compared to nonpregnant women. Predicted fetal plasma exposures increased by approximately 30% from the second trimester to the third trimester of pregnancy. CONCLUSION A mechanistic PBPK model adequately described the maternal and the fetal PK of indomethacin during pregnancy. As the pregnancy progresses, a modest decrease (≤32%) in systemic exposures in pregnant women and a 33% increase in fetal exposures to indomethacin were predicted. Higher fetal exposures in the third trimester of pregnancy may pose safety risks to the fetus. Additional studies are warranted to understand the exposure-response relationship and provide appropriate dosing recommendations during pregnancy that consider both safety and efficacy.
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Affiliation(s)
- Venkateswaran C Pillai
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mansi Shah
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Erik Rytting
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Tatiana N Nanovskaya
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Xiaoming Wang
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Shannon M Clark
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Mahmoud S Ahmed
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Gary D V Hankins
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Steve N Caritis
- Department of Obstetrics, Gynecology and Reproductive Sciences, Magee-Women's Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Raman Venkataramanan
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA
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12
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Szeto KX, Le Merdy M, Dupont B, Bolger MB, Lukacova V. PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus. AAPS JOURNAL 2021; 23:89. [PMID: 34169370 PMCID: PMC8225528 DOI: 10.1208/s12248-021-00603-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/27/2021] [Indexed: 12/21/2022]
Abstract
The purpose of this study was to develop a physiologically based pharmacokinetic (PBPK) model predicting the pharmacokinetics (PK) of different compounds in pregnant subjects. This model considers the differences in tissue sizes, blood flow rates, enzyme expression levels, glomerular filtration rates, plasma protein binding, and other factors affected during pregnancy in both the maternal and fetal models. The PBPKPlus™ module in GastroPlus® was used to model the PK of cefuroxime and cefazolin. For both compounds, the model was first validated against PK data in healthy non-pregnant volunteers and then applied to predict pregnant groups PK. The model accurately described the PK in both non-pregnant and pregnant groups and explained well differences in the plasma concentration due to pregnancy. The fetal plasma and amniotic fluid concentrations were also predicted reasonably well at different stages of pregnancy. This work describes the use of a PBPK approach for drug development and demonstrates the ability to predict differences in PK in pregnant subjects and fetal exposure for compounds excreted renally. The prediction for pregnant groups is also improved when the model is calibrated with postpartum or non-pregnant female group if such data are available.
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Affiliation(s)
- Ke Xu Szeto
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA
| | - Maxime Le Merdy
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA
| | - Benjamin Dupont
- PhinC Development, 36 Rue Victor Basch, 91300, Massy, France
| | - Michael B Bolger
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA
| | - Viera Lukacova
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA.
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13
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Precision dosing of methadone during pregnancy: A pharmacokinetics virtual clinical trials study. J Subst Abuse Treat 2021; 130:108521. [PMID: 34118695 DOI: 10.1016/j.jsat.2021.108521] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 04/05/2021] [Accepted: 05/28/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Methadone use for the management of opioid dependency during pregnancy is commonplace. Methadone levels are altered during pregnancy due to changes in maternal physiology. Despite this, a paucity of data exist regarding the most appropriate optimal dosing regimens during pregnancy. METHODS This study applied a pharmacokinetic modeling approach to examine gestational changes in R- and S-methadone concentrations in maternal plasma and fetal (cord) blood. This study did so to derive a theoretical optimal dosing regimen during pregnancy, and to identify the impact of Cytochromes P450 (CYP) 2B6 and 2C19 polymorphisms on methadone maternal and fetal pharmacokinetics. RESULTS The study noted significant decreases in maternal R- and S-methadone plasma concentrations during gestation, with concomitant increases in fetal levels. At a dose of 90 mg once daily, 75% (R-) and 94% (S-) of maternal methadone trough levels were below the lower therapeutic window at term (week 40). The developed optimal dosing regimen escalated doses to 110 mg by week 5, followed by 10 mg increments every 5 weeks up to a maximum of 180 mg once daily near term. This increase resulted in 27% (R-) and 11% (S-) of subjects with trough levels below the lower therapeutic window at term. CYP2B6 poor metabolizers (PM) and either CYP2C19 extensive metabolizers (EM), PM, or ultra-rapid (UM) metabolizer phenotypes demonstrated statistically significant increases in concentrations when compared to their matched CYP2B6 EM counterparts. CONCLUSIONS Specific and gestation-dependent dose titrations are required during pregnancy to reduce the risks associated with illicit drug use and to maintain fetal safety.
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Almurjan A, Macfarlane H, Badhan RKS. The application of precision dosing in the use of sertraline throughout pregnancy for poor and ultrarapid metabolizer CYP 2C19 subjects: A virtual clinical trial pharmacokinetics study. Biopharm Drug Dispos 2021; 42:252-262. [PMID: 33851424 DOI: 10.1002/bdd.2278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/07/2021] [Accepted: 03/29/2021] [Indexed: 12/14/2022]
Abstract
Sertraline is known to undergo changes in pharmacokinetics during pregnancy. CYP 2C19 has been implicated in the interindividual variation in clinical effect associated with sertraline activity. However, knowledge of suitable dose titrations during pregnancy and within CYP 2C19 phenotypes is lacking. A pharmacokinetic modeling virtual clinical trials approach was implemented to: (i) assess gestational changes in sertraline trough plasma concentrations for CYP 2C19 phenotypes, and (ii) identify appropriate dose titration strategies to stabilize sertraline levels within a defined therapeutic range throughout gestation. Sertraline trough plasma concentrations decreased throughout gestation, with maternal volume expansion and reduction in plasma albumin being identified as possible causative reasons. All CYP 2C19 phenotypes required a dose increase throughout gestation. For extensive metabolizer (EM) and ultrarapid metabolizer (UM) phenotypes, doses of 100-150 mg daily are required throughout gestation. For poor metabolizers (PM), 50 mg daily during trimester 1 followed by a dose of 100 mg daily in trimesters 2 and 3 are required.
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Affiliation(s)
- Aminah Almurjan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Hannah Macfarlane
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Raj K S Badhan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
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15
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Sychterz C, Galetin A, Taskar KS. When special populations intersect with drug-drug interactions: Application of physiologically-based pharmacokinetic modeling in pregnant populations. Biopharm Drug Dispos 2021; 42:160-177. [PMID: 33759451 DOI: 10.1002/bdd.2272] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/02/2021] [Accepted: 03/08/2021] [Indexed: 12/20/2022]
Abstract
Pregnancy results in significant physiological changes that vary across trimesters and into the postpartum period, and may result in altered disposition of endogenous substances and drug pharmacokinetics. Pregnancy represents a unique special population where physiologically-based pharmacokinetic modeling (PBPK) is well suited to mechanistically explore pharmacokinetics and dosing paradigms without subjecting pregnant women or their fetuses to extensive clinical studies. A critical review of applications of pregnancy PBPK models (pPBPK) was conducted to understand its current status for prediction of drug exposure in pregnant populations and to identify areas of further expansion. Evaluation of existing pPBPK modeling efforts highlighted improved understanding of cytochrome P450 (CYP)-mediated changes during pregnancy and identified knowledge gaps for non-CYP enzymes and the physiological changes of the postpartum period. Examples of the application of pPBPK beyond simple dose regimen recommendations are limited, particularly for prediction of drug-drug interactions (DDI) or differences between genotypes for polymorphic drug metabolizing enzymes. A raltegravir pPBPK model implementing UGT1A1 induction during the second and third trimesters of pregnancy was developed in the current work and verified against clinical data. Subsequently, the model was used to explore UGT1A1-related DDI risk with atazanavir and rifampicin along with the effect of enzyme genotype on raltegravir apparent clearance. Simulations of pregnancy-related induction of UGT1A1 either exacerbated UGT1A1 induction by rifampicin or negated atazanavir UGT1A1 inhibition. This example illustrated the advantages of pPBPK modeling for mechanistic evaluation of complex interplays of pregnancy- and drug-related effects in support of model-informed approaches in drug development.
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Affiliation(s)
- Caroline Sychterz
- Cellular Biomarkers, GlaxoSmithKline, Collegeville, Pennsylvania, USA
| | - Aleksandra Galetin
- Division of Pharmacy and Optometry, Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester, UK
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16
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Abduljalil K, Pan X, Clayton R, Johnson TN, Jamei M. Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Cardiac Output and Its Distribution to Different Organs during Development. Clin Pharmacokinet 2021; 60:741-757. [PMID: 33486719 DOI: 10.1007/s40262-020-00973-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVE Fetal circulation is unique and the parameters describing hemodynamic status during development are critical for constructing a fetal physiologically based pharmacokinetic model. To date, a comprehensive review of circulatory changes during fetal development, with a specific focus on developing these models, has not been reported. The objective of this work was to collate, analyze, and mathematically describe physiological information on fetal cardiac output and tissue blood flows during development. METHODS A comprehensive literature search was carried out to collate and evaluate the changes to fetal cardiac output and fetal tissue blood flows during growth. The collated data were assessed, integrated, and analyzed to establish continuous mathematical functions describing the average parameter changes and variability during development. RESULTS Data were available for fetal cardiac output (14 Doppler studies), blood flow through the fetal umbilical vein (15 studies), ductus venosus (6 studies), liver veins (5 studies), brain (4 studies), lungs (5 studies), and kidneys (2 studies). Fetal cardiac output is described as either an age- or weight-dependent function. The latter is preferred as it generates an individualized cardiac output that is correlated to the fetal body weight. Blood flow as a proportion of fetal cardiac output to the liver, placenta, brain, kidneys, and lungs was age varying, whilst for the adipose, bone, heart, muscle, and skin the blood flow proportions were fixed. The pattern of change (with respect to direction and pace) for each of these parameters was different. CONCLUSIONS Despite limitations in the availability of some values, the collected data provide a useful resource for fetal physiologically based pharmacokinetic modeling. Potential applications of these data include predicting xenobiotic exposure and risk assessment in the fetus following the administration of maternally dosed drugs or unintended exposure to environmental toxicants.
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Affiliation(s)
- Khaled Abduljalil
- Certara UK Limited (Simcyp Division), Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
| | - Xian Pan
- Certara UK Limited (Simcyp Division), Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Ruth Clayton
- Certara UK Limited (Simcyp Division), Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Trevor N Johnson
- Certara UK Limited (Simcyp Division), Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Masoud Jamei
- Certara UK Limited (Simcyp Division), Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
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Abstract
Accurate estimation of in vivo clearance in human is pivotal to determine the dose and dosing regimen for drug development. In vitro-in vivo extrapolation (IVIVE) has been performed to predict drug clearance using empirical and physiological scalars. Multiple in vitro systems and mathematical modeling techniques have been employed to estimate in vivo clearance. The models for predicting clearance have significantly improved and have evolved to become more complex by integrating multiple processes such as drug metabolism and transport as well as passive diffusion. This chapter covers the use of conventional as well as recently developed methods to predict metabolic and transporter-mediated clearance along with the advantages and disadvantages of using these methods and the associated experimental considerations. The general approaches to improve IVIVE by use of appropriate scalars, incorporation of extrahepatic metabolism and transport and application of physiologically based pharmacokinetic (PBPK) models with proteomics data are also discussed. The chapter also provides an overview of the advantages of using such dynamic mechanistic models over static models for clearance predictions to improve IVIVE.
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18
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Chaphekar N, Dodeja P, Shaik IH, Caritis S, Venkataramanan R. Maternal-Fetal Pharmacology of Drugs: A Review of Current Status of the Application of Physiologically Based Pharmacokinetic Models. Front Pediatr 2021; 9:733823. [PMID: 34805038 PMCID: PMC8596611 DOI: 10.3389/fped.2021.733823] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/16/2021] [Indexed: 12/31/2022] Open
Abstract
Pregnancy and the postpartum period are associated with several physiological changes that can alter the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs. For certain drugs, dosing changes may be required during pregnancy and postpartum to achieve drug exposures comparable to what is observed in non-pregnant subjects. There is very limited data on fetal exposure of drugs during pregnancy, and neonatal exposure through transfer of drugs via human milk during breastfeeding. Very few systematic clinical pharmacology studies have been conducted in pregnant and postpartum women due to ethical issues, concern for the fetus safety as well as potential legal ramifications. Over the past several years, there has been an increase in the application of modeling and simulation approaches such as population PK (PopPK) and physiologically based PK (PBPK) modeling to provide guidance on drug dosing in those special patient populations. Population PK models rely on measured PK data, whereas physiologically based PK models incorporate physiological, preclinical, and clinical data into the model to predict drug exposure during pregnancy. These modeling strategies offer a promising approach to identify the drugs with PK changes during pregnancy to guide dose optimization in pregnancy, when there is lack of clinical data. PBPK modeling is also utilized to predict the fetal exposure of drugs and drug transfer via human milk following maternal exposure. This review focuses on the current status of the application of PBPK modeling to predict maternal and fetal exposure of drugs and thereby guide drug therapy during pregnancy.
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Affiliation(s)
- Nupur Chaphekar
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States
| | - Prerna Dodeja
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States
| | - Imam H Shaik
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States
| | - Steve Caritis
- Department of Obstetrics, Gynecology and Reproductive Sciences, Magee Women's Hospital of UPMC, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Raman Venkataramanan
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States.,Department of Obstetrics, Gynecology and Reproductive Sciences, Magee Women's Hospital of UPMC, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.,Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
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19
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Assessing the impacts on fetal dosimetry of the modelling of the placental transfers of xenobiotics in a pregnancy physiologically based pharmacokinetic model. Toxicol Appl Pharmacol 2020; 409:115318. [PMID: 33160985 DOI: 10.1016/j.taap.2020.115318] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/26/2020] [Accepted: 11/02/2020] [Indexed: 02/07/2023]
Abstract
The developmental origin of health and diseases theory supports the critical role of the fetal exposure to children's health. We developed a physiologically based pharmacokinetic model for human pregnancy (pPBPK) to simulate the maternal and fetal dosimetry throughout pregnancy. Four models of the placental exchanges of chemicals were assessed on ten chemicals for which maternal and fetal data were available. These models were calibrated using non-animal methods: in vitro (InV) or ex vivo (ExV) data, a semi-empirical relationship (SE), or the limitation by the placental perfusion (PL). They did not impact the maternal pharmacokinetics but provided different profiles in the fetus. The PL and InV models performed well even if the PL model overpredicted the fetal exposure for some substances. The SE and ExV models showed the lowest global performance and the SE model a tendency to underprediction. The comparison of the profiles showed that the PL model predicted an increase in the fetal exposure with the pregnancy age, whereas the ExV model predicted a decrease. For the SE and InV models, a small decrease was predicted during the second trimester. All models but the ExV one, presented the highest fetal exposure at the end of the third trimester. Global sensitivity analyses highlighted the predominant influence of the placental transfers on the fetal exposure, as well as the metabolic clearance and the fraction unbound. Finally, the four transfer models could be considered depending on the framework of the use of the pPBPK model and the availability of data or resources to inform their parametrization.
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20
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Bierhoff M, Smolders EJ, Tarning J, Burger DM, Spijker R, Rijken MJ, Angkurawaranon C, McGready R, White NJ, Nosten F, van Vugt M. Pharmacokinetics of oral tenofovir disoproxil fumarate in pregnancy and lactation: a systematic review. Antivir Ther 2020; 24:529-540. [PMID: 31868655 DOI: 10.3851/imp3341] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Tenofovir disoproxil fumarate (TDF), the oral prodrug of tenofovir (TFV), is advocated in pregnancy for prevention of mother-to-child transmission (PMCT) with failure of hepatitis B immunoglobulin and vaccination. The pharmacokinetics of TDF monotherapy for PMCT-HBV is important if deployment is to emulate the success of multiple antiretrovirals (ARVs) for PMCT-HIV in resource-constrained settings. METHODS This systematic review followed a protocol and is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA) guidelines. We included studies that enrolled pregnant women who received oral TDF therapy as monotherapy or in combination with other ARVs: irrespective of the reason for receiving the drug (for example, HIV, HBV or pre-exposure prophylaxis); and reported pharmacokinetics. RESULTS The area under the concentration-time curve (AUC), maximum plasma concentrations (Cmax) and last measurable plasma concentration (Clast) of TFV were decreased in the second and third trimester compared with first trimester or post-partum. In none of the manuscripts was the non-pregnant HBV threshold of Cmax of 300 ng/ml reached, but the 50% effective concentration (EC50) of TFV is lower for treatment of HBV compared with HIV. The TFV concentration in breastfed infants was 0.03% of the recommended infant dose. CONCLUSIONS Most knowledge of pharmacokinetics of TFV in pregnancy results from studies on HIV involving multiple ARVs. Increased TFV clearance occurred in the second and third trimester when optimal TFV concentrations are required to maximize suppression of HBV in the window before birth. Dose or duration adjustments will be better conceptualized with concurrent analysis of the pharmacokinetics of TFV monotherapy and hepatitis B pharmacodynamics in pregnancy.
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Affiliation(s)
- Marieke Bierhoff
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.,Department of Internal Medicine and Tropical Diseases, Amsterdam University Medical Center, location Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Elise J Smolders
- Department of Pharmacy, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Pharmacy, Isala Hospital, Zwolle, the Netherlands
| | - Joel Tarning
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David M Burger
- Department of Pharmacy, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rene Spijker
- Department of Internal Medicine and Tropical Diseases, Amsterdam University Medical Center, location Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Marcus J Rijken
- Utrecht University Medical Centre, Utrecht, the Netherlands.,Julius Centre Global Health, Utrecht, the Netherlands
| | - Chaisiri Angkurawaranon
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Rose McGready
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nicholas J White
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Francois Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Michèle van Vugt
- Department of Internal Medicine and Tropical Diseases, Amsterdam University Medical Center, location Academic Medical Center Amsterdam, Amsterdam, the Netherlands
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21
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Abduljalil K, Badhan RKS. Drug dosing during pregnancy-opportunities for physiologically based pharmacokinetic models. J Pharmacokinet Pharmacodyn 2020; 47:319-340. [PMID: 32592111 DOI: 10.1007/s10928-020-09698-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/20/2020] [Indexed: 12/15/2022]
Abstract
Drugs can have harmful effects on the embryo or the fetus at any point during pregnancy. Not all the damaging effects of intrauterine exposure to drugs are obvious at birth, some may only manifest later in life. Thus, drugs should be prescribed in pregnancy only if the expected benefit to the mother is thought to be greater than the risk to the fetus. Dosing of drugs during pregnancy is often empirically determined and based upon evidence from studies of non-pregnant subjects, which may lead to suboptimal dosing, particularly during the third trimester. This review collates examples of drugs with known recommendations for dose adjustment during pregnancy, in addition to providing an example of the potential use of PBPK models in dose adjustment recommendation during pregnancy within the context of drug-drug interactions. For many drugs, such as antidepressants and antiretroviral drugs, dose adjustment has been recommended based on pharmacokinetic studies demonstrating a reduction in drug concentrations. However, there is relatively limited (and sometimes inconsistent) information regarding the clinical impact of these pharmacokinetic changes during pregnancy and the effect of subsequent dose adjustments. Examples of using pregnancy PBPK models to predict feto-maternal drug exposures and their applications to facilitate and guide dose assessment throughout gestation are discussed.
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Affiliation(s)
- Khaled Abduljalil
- Certara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
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22
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Almurjan A, Macfarlane H, Badhan RKS. Precision dosing-based optimisation of paroxetine during pregnancy for poor and ultrarapid CYP2D6 metabolisers: a virtual clinical trial pharmacokinetics study. J Pharm Pharmacol 2020; 72:1049-1060. [DOI: 10.1111/jphp.13281] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/04/2020] [Indexed: 01/06/2023]
Abstract
Abstract
Objective
Paroxetine has been demonstrated to undergo gestation-related reductions in plasma concentrations, to an extent which is dictated by the polymorphic state of CYP 2D6. However, knowledge of appropriate dose titrations is lacking.
Methods
A pharmacokinetic modelling approach was applied to examine gestational changes in trough plasma concentrations for CYP 2D6 phenotypes, followed by necessary dose adjustment strategies to maintain paroxetine levels within a therapeutic range of 20–60 ng/ml.
Key findings
A decrease in trough plasma concentrations was simulated throughout gestation for all phenotypes. A significant number of ultrarapid (UM) phenotype subjects possessed trough levels below 20 ng/ml (73–76%) compared to extensive metabolisers (EM) (51–53%).
Conclusions
For all phenotypes studied, there was a requirement for daily doses in excess of the standard 20 mg dose throughout gestation. For EM, a dose of 30 mg daily in trimester 1 followed by 40 mg daily in trimesters 2 and 3 is suggested to be optimal. For poor metabolisers (PM), a 20 mg daily dose in trimester 1 followed by 30 mg daily in trimesters 2 and 3 is suggested to be optimal. For UM, a 40 mg daily dose throughout gestation is suggested to be optimal.
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Affiliation(s)
- Aminah Almurjan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Hannah Macfarlane
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Raj K S Badhan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
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23
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De Sousa Mendes M, Chetty M. Are Standard Doses of Renally-Excreted Antiretrovirals in Older Patients Appropriate: A PBPK Study Comparing Exposures in the Elderly Population With Those in Renal Impairment. Drugs R D 2020; 19:339-350. [PMID: 31602556 PMCID: PMC6890626 DOI: 10.1007/s40268-019-00285-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The elderly population receives the majority of prescription drugs but are usually excluded from Phase 1 clinical trials. Alternative approaches to estimate increases in toxicity risk or decreases in efficacy are therefore needed. This study predicted the pharmacokinetics (PK) of three renally excreted antiretroviral drugs in the elderly population and compared them with known exposures in renal impairment, to evaluate the need for dosing adjustments. METHODS The performance of the physiologically based pharmacokinetic (PBPK) models for tenofovir, lamivudine and emtricitabine were verified using clinical data in young and older subjects. Models were then used to predict PK profiles in a virtual population aged 20 to 49 years (young) and a geriatric population aged 65 to 74 years (elderly). Predicted exposure in the elderly was then compared with exposure reported for different degrees of renal impairment, where doses have been defined. RESULTS An increase in exposure (AUC) with advancing age was predicted for all drugs. The mean ratio of the increase in exposure were 1.40 for emtricitabine, 1.42 for lamivudine and 1.48 for tenofovir. The majority of virtual patients had exposures that did not require dosage adjustments. About 22% of patients on tenofovir showed exposures similar to that in moderate renal impairment, where dosage reduction may be required. CONCLUSION Comparison of the exposure in the elderly with exposure observed in patients with different levels of renal impairment, indicated that a dosage adjustment may not be required in elderly patients on lamivudine, emtricitabine and the majority of the patients on tenofovir. Clinical trials to verify these predictions are essential.
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Neary M, Owen A, Olagunju A. Pharmacokinetics of HIV therapies in pregnant patients: an update. Expert Opin Drug Metab Toxicol 2020; 16:449-461. [PMID: 32271621 DOI: 10.1080/17425255.2020.1754792] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Mother-to-child transmission (MTCT) of HIV is thought to account for over 90% of new pediatric infections, and is associated with poor maternal and fetal outcomes. As such ensuring further reduction in MTCT is a priority in HIV treatment and prevention programs. AREAS COVERED This review aims to provide a comprehensive update on the pharmacokinetics of recently approved antiretroviral drugs and novel drug formulations and delivery systems. Alongside recent recommendations for dose adjustments, and an overview of the implications of co-infections on the pharmacokinetics of antiretrovirals relevant to pregnant HIV positive patients. Additionally, potential opportunities to progress pharmacokinetic research of new treatments in this population are highlighted. EXPERT OPINION In order to improve our understanding of how to provide safe and effective treatment to HIV positive pregnant women, further work is required to enable their inclusion in early stages of clinical trials. Incentives must be created for this research, in the form of additional investment by key stakeholders and regulatory agencies. Furthermore, as the incidence of MTCT is reduced globally there is a need to conduct long-term pharmacovigilance studies in uninfected children exposed to HIV and antiretrovirals in utero, in order to determine the safest and most effective antiretroviral therapies.
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Affiliation(s)
- Megan Neary
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool , Liverpool, UK
| | - Andrew Owen
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool , Liverpool, UK
| | - Adeniyi Olagunju
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool , Liverpool, UK.,Faculty of Pharmacy, Obafemi Awolowo University , Ile-Ife, Nigeria
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25
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Hodel EM, Marzolini C, Waitt C, Rakhmanina N. Pharmacokinetics, Placental and Breast Milk Transfer of Antiretroviral Drugs in Pregnant and Lactating Women Living with HIV. Curr Pharm Des 2020; 25:556-576. [PMID: 30894103 DOI: 10.2174/1381612825666190320162507] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/18/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Remarkable progress has been achieved in the identification of HIV infection in pregnant women and in the prevention of vertical HIV transmission through maternal antiretroviral treatment (ART) and neonatal antiretroviral drug (ARV) prophylaxis in the last two decades. Millions of women globally are receiving combination ART throughout pregnancy and breastfeeding, periods associated with significant biological and physiological changes affecting the pharmacokinetics (PK) and pharmacodynamics (PD) of ARVs. The objective of this review was to summarize currently available knowledge on the PK of ARVs during pregnancy and transport of maternal ARVs through the placenta and into the breast milk. We also summarized main safety considerations for in utero and breast milk ARVs exposures in infants. METHODS We conducted a review of the pharmacological profiles of ARVs in pregnancy and during breastfeeding obtained from published clinical studies. Selected maternal PK studies used a relatively rich sampling approach at each ante- and postnatal sampling time point. For placental and breast milk transport of ARVs, we selected the studies that provided ratios of maternal to the cord (M:C) plasma and breast milk to maternal plasma (M:P) concentrations, respectively. RESULTS We provide an overview of the physiological changes during pregnancy and their effect on the PK parameters of ARVs by drug class in pregnancy, which were gathered from 45 published studies. The PK changes during pregnancy affect the dosing of several protease inhibitors during pregnancy and limit the use of several ARVs, including three single tablet regimens with integrase inhibitors or protease inhibitors co-formulated with cobicistat due to suboptimal exposures. We further analysed the currently available data on the mechanism of the transport of ARVs from maternal plasma across the placenta and into the breast milk and summarized the effect of pregnancy on placental and of breastfeeding on mammal gland drug transporters, as well as physicochemical properties, C:M and M:P ratios of individual ARVs by drug class. Finally, we discussed the major safety issues of fetal and infant exposure to maternal ARVs. CONCLUSIONS Available pharmacological data provide evidence that physiological changes during pregnancy affect maternal, and consequently, fetal ARV exposure. Limited available data suggest that the expression of drug transporters may vary throughout pregnancy and breastfeeding thereby possibly impacting the amount of ARV crossing the placenta and secreted into the breast milk. The drug transporter's role in the fetal/child exposure to maternal ARVs needs to be better understood. Our analysis underscores the need for more pharmacological studies with innovative study design, sparse PK sampling, improved study data reporting and PK modelling in pregnant and breastfeeding women living with HIV to optimize their treatment choices and maternal and child health outcomes.
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Affiliation(s)
- E M Hodel
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Molecular & Clinical Pharmacology, Liverpool, United Kingdom.,Liverpool School of Tropical Medicine, Liverpool, United Kingdom.,Division of Paediatric Pharmacology & Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
| | - C Marzolini
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Molecular & Clinical Pharmacology, Liverpool, United Kingdom.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - C Waitt
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Molecular & Clinical Pharmacology, Liverpool, United Kingdom.,Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.,Royal Liverpool University Hospital, Liverpool, United Kingdom
| | - N Rakhmanina
- Department of Pediatrics, The George Washington University, School of Medicine & Health Sciences, Washington, DC, United States.,Division of Infectious Diseases, Children's National Medical Center, Washington, DC, United States.,Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, United States
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26
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Liu SN, Desta Z, Gufford BT. Probenecid-Boosted Tenofovir: A Physiologically-Based Pharmacokinetic Model-Informed Strategy for On-Demand HIV Preexposure Prophylaxis. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2019; 9:40-47. [PMID: 31749296 PMCID: PMC6966182 DOI: 10.1002/psp4.12481] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 11/03/2019] [Indexed: 11/28/2022]
Abstract
Multiple doses of tenofovir disoproxil fumarate (TDF) together with emtricitabine is effective for HIV preexposure prophylaxis (PrEP). TDF is converted to tenofovir (TFV) in circulation, which is subsequently cleared via tubular secretion by organic ion transporters (OATs; OAT1 and OAT3). Using in vitro kinetic parameters for TFV and the OAT1 and OAT3 inhibitor probenecid, a bottom‐up physiologically‐based pharmacokinetic model was successfully developed for the first time that accurately describes the probenecid–TFV interaction. This model predicted an increase in TFV plasma exposure by 60%, which was within 15% of the observed clinical pharmacokinetic data, and a threefold decrease in renal cells exposure following coadministration of a 600 mg TDF dose with 2 g probenecid. When compared with multiple‐dose regimens, a single‐dose probenecid‐boosted TDF regimen may be effective for HIV PrEP and improve adherence and safety by minimizing TFV‐induced nephrotoxicity by reducing TFV accumulation in renal cells.
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Affiliation(s)
- Stephanie N Liu
- Division of Clinical Pharmacology, Department of Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Zeruesenay Desta
- Division of Clinical Pharmacology, Department of Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Brandon T Gufford
- Division of Clinical Pharmacology, Department of Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA
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27
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Liu XI, Momper JD, Rakhmanina N, van den Anker JN, Green DJ, Burckart GJ, Best BM, Mirochnick M, Capparelli EV, Dallmann A. Physiologically Based Pharmacokinetic Models to Predict Maternal Pharmacokinetics and Fetal Exposure to Emtricitabine and Acyclovir. J Clin Pharmacol 2019; 60:240-255. [PMID: 31489678 DOI: 10.1002/jcph.1515] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 08/11/2019] [Indexed: 12/28/2022]
Abstract
Pregnancy is associated with physiological changes that may impact drug pharmacokinetics (PK). The goals of this study were to build maternal-fetal physiologically based pharmacokinetic (PBPK) models for acyclovir and emtricitabine, 2 anti(retro)viral drugs with active renal net secretion, and to (1) evaluate the predicted maternal PK at different stages of pregnancy; (2) predict the changes in PK target parameters following the current dosing regimen of these drugs throughout pregnancy; (3) evaluate the predicted concentrations of these drugs in the umbilical vein at delivery; (4) compare the model performance for predicting maternal PK of emtricitabine in the third trimester with that of previously published PBPK models; and (5) compare different previously published approaches for estimating the placental permeability of these 2 drugs. Results showed that the pregnancy PBPK model for acyclovir predicted all maternal concentrations within a 2-fold error range, whereas the model for emtricitabine predicted 79% of the maternal concentrations values within that range. Extrapolation of these models to earlier stages of pregnancy indicated that the change in the median PK target parameters remained well above the target threshold. Concentrations of acyclovir and emtricitabine in the umbilical vein were overall adequately predicted. The comparison of different emtricitabine PBPK models suggested an overall similar predictive performance in the third trimester, but the comparison of different approaches for estimating placental drug permeability revealed large differences. These models can enhance the understanding of the PK behavior of renally excreted drugs, which may ultimately inform pharmacotherapeutic decision making in pregnant women and their fetuses.
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Affiliation(s)
- Xiaomei I Liu
- Children's National Medical Center, Washington, DC, USA
| | - Jeremiah D Momper
- University of California, San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, California, USA
| | - Natella Rakhmanina
- Children's National Medical Center, Washington, DC, USA.,Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA
| | - John N van den Anker
- Children's National Medical Center, Washington, DC, USA.,Pediatric Surgery and Intensive Care, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands.,Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland
| | - Dionna J Green
- Office of Pediatric Therapeutics, Office of Medical Products and Tobacco, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Gilbert J Burckart
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Brookie M Best
- University of California, San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, California, USA
| | - Mark Mirochnick
- Boston University, School of Medicine, Boston, Massachusetts, USA
| | - Edmund V Capparelli
- University of California, San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, California, USA
| | - André Dallmann
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland.,Bayer AG, Clinical Pharmacometrics, Leverkusen, Germany
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28
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Berlin M, Barchel D, Gandelman-Marton R, Brandriss N, Blatt I, Ziv-Baran T, Neufeld MY, Dinavitser N, Kohn E, Shaniv D, De-Haan T, Ofek F, Koren G, Stepensky D, Berkovitch M. Therapeutic levetiracetam monitoring during pregnancy: "mind the gap". Ther Adv Chronic Dis 2019; 10:2040622319851652. [PMID: 31191874 PMCID: PMC6540481 DOI: 10.1177/2040622319851652] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 04/26/2019] [Indexed: 10/26/2022] Open
Abstract
Background Epilepsy is one of the most common chronic neurological conditions and its treatment during pregnancy is challenging. Levetiracetam (LEV) is an antiepileptic medication frequently used during pregnancy. Only a few small studies have been published on LEV monitoring during pregnancy, demonstrating decreased serum LEV levels during the first and second trimester; however, the most significant decrease was observed during the third trimester of pregnancy. In this study we aimed to evaluate LEV pharmacokinetics during different stages of pregnancy. Methods We followed up and monitored serum levels of pregnant women treated with LEV for epilepsy. Results Fifty-nine women with 66 pregnancies during the study period were included. The lowest raw LEV serum concentrations were observed during the first trimester. Compared with the pre-pregnancy period, raw serum concentration was lower by 5.76 mg/L [95% confidence interval (CI) (2.78, 8.75), p = 0.039] during the first trimester. Comparing the decrease in the first trimester with either the second or the third, no significant changes were observed (p = 0.945, p = 0.866). Compared with pre-pregnancy measurements, apparent clearance was increased by 71.08 L/day [95%CI (16.34, 125.83), p = 0.011] during the first trimester. About 30% of LEV serum levels during pregnancy were below the laboratory quoted reference range. Conclusions Raw LEV serum levels tend to decrease during pregnancy, mainly during the first trimester contrary to previous reports. Monitoring of LEV serum levels is essential upon planning pregnancy and thereafter if pre-pregnancy LEV levels are to be maintained. However, more studies are needed to assess the correlation with clinical outcome.
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Affiliation(s)
- Maya Berlin
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Dana Barchel
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Revital Gandelman-Marton
- Epilepsy and EEG Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Nurit Brandriss
- Biochemistry Department, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Ilan Blatt
- Epilepsy Clinic and EEG Laboratory, Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Tomer Ziv-Baran
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Miri Y Neufeld
- EEG and Epilepsy Unit, Department of Neurology, Tel Aviv Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Natalie Dinavitser
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel and Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Elkana Kohn
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Dotan Shaniv
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Tal De-Haan
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Fanny Ofek
- Pharmacy Department, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Gideon Koren
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Israel and Maccabi-Kahn Institute of Research and Innovation, Tel Aviv, Israel
| | - David Stepensky
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Matitiahu Berkovitch
- Clinical Pharmacology and Toxicology Unit, Assaf Harofeh Medical Center, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Zerifin, 7033001, Israel
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29
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Polak S, Tylutki Z, Holbrook M, Wiśniowska B. Better prediction of the local concentration-effect relationship: the role of physiologically based pharmacokinetics and quantitative systems pharmacology and toxicology in the evolution of model-informed drug discovery and development. Drug Discov Today 2019; 24:1344-1354. [PMID: 31132414 DOI: 10.1016/j.drudis.2019.05.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 03/04/2019] [Accepted: 05/21/2019] [Indexed: 12/15/2022]
Abstract
Model-informed drug discovery and development (MID3) is an umbrella term under which sit several computational approaches: quantitative systems pharmacology (QSP), quantitative systems toxicology (QST) and physiologically based pharmacokinetics (PBPK). QSP models are built using mechanistic knowledge of the pharmacological pathway focusing on the putative mechanism of drug efficacy; whereas QST models focus on safety and toxicity issues and the molecular pathways and networks that drive these adverse effects. These can be mediated through exaggerated on-target or off-target pharmacology, immunogenicity or the physiochemical nature of the compound. PBPK models provide a mechanistic description of individual organs and tissues to allow the prediction of the intra- and extra-cellular concentration of the parent drug and metabolites under different conditions. Information on biophase concentration enables the prediction of a drug effect in different organs and assessment of the potential for drug-drug interactions. Together, these modelling approaches can inform the exposure-response relationship and hence support hypothesis generation and testing, compound selection, hazard identification and risk assessment through to clinical proof of concept (POC) and beyond to the market.
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Affiliation(s)
- Sebastian Polak
- Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9 Street, 30-688 Kraków, Poland; Certara-Simcyp, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
| | - Zofia Tylutki
- Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9 Street, 30-688 Kraków, Poland; Certara-Simcyp, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Mark Holbrook
- Certara-Simcyp, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Barbara Wiśniowska
- Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9 Street, 30-688 Kraków, Poland
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30
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Biesdorf C, Martins FS, Sy SKB, Diniz A. Physiologically-based pharmacokinetics of ziprasidone in pregnant women. Br J Clin Pharmacol 2019; 85:914-923. [PMID: 30669177 DOI: 10.1111/bcp.13872] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 11/29/2018] [Accepted: 01/06/2019] [Indexed: 01/19/2023] Open
Abstract
AIMS Pregnancy is associated with physiological changes that alter the pharmacokinetics (PK) of drugs. The aim of this study was to predict the PK of ziprasidone in pregnant women. METHODS A full physiologically-based pharmacokinetic (PBPK) model of ziprasidone was developed and validated for the non-pregnant population (healthy adults, paediatrics, geriatrics), and this was extended to the pregnant state to assess the change in PK profile of ziprasidone throughout pregnancy. RESULTS The PBPK model successfully predicted the ziprasidone disposition in healthy adult volunteers, wherein the predicted and observed AUC, Cmax and tmax were within the fold-difference of 0.94-1.09, 0.89-1.40 and 0.80-1.08, respectively. The paediatric and geriatric population, also showed predicted AUC, Cmax and tmax within a two-fold range of the observed values. The simulated exposure in pregnant women using a p-PBPK model showed no significant difference when compared to non-pregnant women. CONCLUSIONS The PBPK model predicted the impact of physiological changes during pregnancy on PK and exposure of ziprasidone, suggesting that dose adjustment is not necessary in this special population.
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Affiliation(s)
- Carla Biesdorf
- Department of Pharmacy, State University of Maringá, Maringá, Brazil
| | | | - Sherwin K B Sy
- Department of Statistics, State University of Maringá, Maringá, Brazil
| | - Andrea Diniz
- Department of Pharmacy, State University of Maringá, Maringá, Brazil
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31
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Li Z, Fisher C, Gardner I, Ghosh A, Litchfield J, Maurer TS. Modeling Exposure to Understand and Predict Kidney Injury. Semin Nephrol 2019; 39:176-189. [DOI: 10.1016/j.semnephrol.2018.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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32
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Abstract
Caffeine is the most consumed active stimulant. About 80% of pregnant women consume caffeine orally on a daily basis. Many reports indicated consumption of >200 mg caffeine during pregnancy could increase the likelihood of miscarriage. In this article, we developed a pregnancy physiological-based pharmacokinetic/pharmacodynamic (PBPK/PD) model for caffeine to examine association between maternal caffeine consumption during pregnancy and caffeine plasma levels at doses lower and higher than 200 mg to predict changes in caffeine concentrations across the 3 trimesters, and to predict associated changes in caffeine PD parameters. Two models were successfully developed using GastroPlus software, a nonpregnant model for validation purposes and a pregnant model for validation and prediction of maternal caffeine plasma concentrations following single and multiple dosing. Using observed and predicted data, we were able to validate and simulate PK changes of caffeine in nonpregnant women and the PD effect of caffeine on certain enzymes and catecholamines associated with caffeine intake. Furthermore, the pregnancy PBPK model successfully predicted changes in caffeine PK across the three trimesters. Caffeine increased exposure during pregnancy was related to reduced activity of caffeine metabolizing enzyme CYP1A2. The model also predicted increased levels of caffeine in the fetoplacental compartment (FPC) due to increased maternal caffeine plasma concentrations. Increased caffeine levels in maternal blood was accompanied by greater inhibition of the phosphodiesterase enzyme, higher cyclic adenosine monophosphate, and greater increase of epinephrine levels, which could increase the risk of pregnancy loss. The application of the developed PBPK model to predict the PD effect could provide a useful tool to help define potential cut-offs for caffeine intake in various stages of pregnancy.
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33
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Dallmann A, Ince I, Solodenko J, Meyer M, Willmann S, Eissing T, Hempel G. Physiologically Based Pharmacokinetic Modeling of Renally Cleared Drugs in Pregnant Women. Clin Pharmacokinet 2018; 56:1525-1541. [PMID: 28391404 DOI: 10.1007/s40262-017-0538-0] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Since pregnant women are considerably underrepresented in clinical trials, information on optimal dosing in pregnancy is widely lacking. Physiologically based pharmacokinetic (PBPK) modeling may provide a method for predicting pharmacokinetic changes in pregnancy to guide subsequent in vivo pharmacokinetic trials in pregnant women, minimizing associated risks. OBJECTIVES The goal of this study was to build and verify a population PBPK model that predicts the maternal pharmacokinetics of three predominantly renally cleared drugs (namely cefazolin, cefuroxime, and cefradine) at different stages of pregnancy. It was further evaluated whether the fraction unbound (f u) could be estimated in pregnant women using a proposed scaling approach. METHODS Based on a recent literature review on anatomical and physiological changes during pregnancy, a pregnancy population PBPK model was built using the software PK-Sim®/MoBi®. This model comprised 27 compartments, including nine pregnancy-specific compartments. The PBPK model was verified by comparing the predicted maternal pharmacokinetics of cefazolin, cefuroxime, and cefradine with observed in vivo data taken from the literature. The proposed scaling approach for estimating the f u in pregnancy was evaluated by comparing the predicted f u with experimentally observed f u values of 32 drugs taken from the literature. RESULTS The pregnancy population PBPK model successfully predicted the pharmacokinetics of cefazolin, cefuroxime, and cefradine at all tested stages of pregnancy. All predicted plasma concentrations fell within a 2-fold error range and 85% of the predicted concentrations within a 1.25-fold error range. The f u in pregnancy could be adequately predicted using the proposed scaling approach, although a slight underestimation was evident in case of drugs bound to α1-acidic glycoprotein. CONCLUSION Pregnancy population PBPK models can provide a valuable tool to predict a priori the pharmacokinetics of predominantly renally cleared drugs in pregnant women. These models can ultimately support informed decision making regarding optimal dosing regimens in this vulnerable special population.
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Affiliation(s)
- André Dallmann
- Department of Pharmaceutical and Medical Chemistry-Clinical Pharmacy, Westfälische Wilhelm-University Münster, 48149, Münster, Germany
| | - Ibrahim Ince
- Bayer AG, Drug Discovery, Pharmaceuticals, Systems Pharmacology & Medicine I, Kaiser-Wilhelm-Allee, 51373, Leverkusen, Germany.
| | - Juri Solodenko
- Bayer AG, ET-TD-ET Systems Pharmacology ONC, 51368, Leverkusen, Germany
| | - Michaela Meyer
- Bayer AG, DD-CS Clinical Pharmacometrics, 42113, Wuppertal, Germany
| | - Stefan Willmann
- Bayer AG, DD-CS Clinical Pharmacometrics, 42113, Wuppertal, Germany
| | - Thomas Eissing
- Bayer AG, Drug Discovery, Pharmaceuticals, Systems Pharmacology & Medicine I, Kaiser-Wilhelm-Allee, 51373, Leverkusen, Germany
| | - Georg Hempel
- Department of Pharmaceutical and Medical Chemistry-Clinical Pharmacy, Westfälische Wilhelm-University Münster, 48149, Münster, Germany
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34
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Dallmann A, Pfister M, van den Anker J, Eissing T. Physiologically Based Pharmacokinetic Modeling in Pregnancy: A Systematic Review of Published Models. Clin Pharmacol Ther 2018; 104:1110-1124. [PMID: 29633257 DOI: 10.1002/cpt.1084] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 03/16/2018] [Accepted: 03/30/2018] [Indexed: 12/21/2022]
Abstract
During recent years there has been a surge in developing and applying physiologically based pharmacokinetic (PBPK) models in pregnant women to better understand and predict changes in drug pharmacokinetics throughout pregnancy. As a consequence, the number of publications focusing on pregnancy PBPK models has increased substantially. However, to date these models, especially across various platforms, have not been systematically evaluated. Hence, this review aims to assess published PBPK models in pregnancy used for therapeutic purposes.
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Affiliation(s)
- André Dallmann
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel, Basel, Switzerland
| | - Marc Pfister
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel, Basel, Switzerland.,Certara, Princeton, New Jersey, USA
| | - John van den Anker
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel, Basel, Switzerland.,Division of Clinical Pharmacology, Children's National Health System, Washington, DC, USA.,Intensive Care and Department of Pediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
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35
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Pregnancy- Associated Changes in Pharmacokinetics and their Clinical Implications. Pharm Res 2018; 35:61. [DOI: 10.1007/s11095-018-2352-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 01/19/2018] [Indexed: 10/18/2022]
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36
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Ke AB, Greupink R, Abduljalil K. Drug Dosing in Pregnant Women: Challenges and Opportunities in Using Physiologically Based Pharmacokinetic Modeling and Simulations. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2018; 7:103-110. [PMID: 29349870 PMCID: PMC5824116 DOI: 10.1002/psp4.12274] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 12/22/2017] [Accepted: 12/28/2017] [Indexed: 01/04/2023]
Abstract
The unmet medical need of providing evidence‐based pharmacotherapy for pregnant women is recognized by the regulatory bodies. Physiologically based pharmacokinetic (PBPK) modeling offers an attractive platform to quantify anticipated changes in the pharmacokinetics (PKs) of drugs during pregnancy. Recent publications applying a pregnancy PBPK module to the prediction of maternal and fetal exposure of drugs are summarized. Future opportunities to use PBPK models to predict breast milk exposure and assess human fetotoxicity risks are presented.
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Affiliation(s)
- Alice Ban Ke
- Simcyp Limited (a Certara company), Sheffield, UK
| | - Rick Greupink
- Department of Pharmacology and Toxicology, Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands
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Marsousi N, Desmeules JA, Rudaz S, Daali Y. Usefulness of PBPK Modeling in Incorporation of Clinical Conditions in Personalized Medicine. J Pharm Sci 2017; 106:2380-2391. [DOI: 10.1016/j.xphs.2017.04.035] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 04/06/2017] [Accepted: 04/07/2017] [Indexed: 12/14/2022]
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38
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Pan Y, Hsu V, Grimstein M, Zhang L, Arya V, Sinha V, Grillo JA, Zhao P. The Application of Physiologically Based Pharmacokinetic Modeling to Predict the Role of Drug Transporters: Scientific and Regulatory Perspectives. J Clin Pharmacol 2017; 56 Suppl 7:S122-31. [PMID: 27385170 DOI: 10.1002/jcph.740] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 03/21/2016] [Accepted: 03/22/2016] [Indexed: 01/24/2023]
Abstract
Transporters play an important role in drug absorption, disposition, and drug action. The evaluation of drug transporters requires a comprehensive understanding of transporter biology and pharmacology. Physiologically based pharmacokinetic (PBPK) models may offer an integrative platform to quantitatively evaluate the role of drug transporters and its interplay with other drug disposition processes such as passive drug diffusion and elimination by metabolizing enzymes. To date, PBPK modeling and simulations integrating drug transporters lag behind that for drug-metabolizing enzymes. In addition, predictive performance of PBPK has not been well established for predicting the role of drug transporters in the pharmacokinetics of a drug. To enhance overall predictive performance of transporter-based PBPK models, it is necessary to have a detailed understanding of transporter biology for proper representation in the models and to have a quantitative understanding of the contribution of transporters in the absorption and metabolism of a drug. This article summarizes PBPK-based submissions evaluating the role of drug transporters to the Office of Clinical Pharmacology of the US Food and Drug Administration.
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Affiliation(s)
- Yuzhuo Pan
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.,Current affiliation: Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Vicky Hsu
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Manuela Grimstein
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Lei Zhang
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Vikram Arya
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Vikram Sinha
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Joseph A Grillo
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Ping Zhao
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
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39
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Ball K, Jamier T, Parmentier Y, Denizot C, Mallier A, Chenel M. Prediction of renal transporter-mediated drug-drug interactions for a drug which is an OAT substrate and inhibitor using PBPK modelling. Eur J Pharm Sci 2017; 106:122-132. [PMID: 28552429 DOI: 10.1016/j.ejps.2017.05.055] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/04/2017] [Accepted: 05/23/2017] [Indexed: 01/06/2023]
Abstract
A PBPK modelling approach was used to predict organic anion transporter (OAT) mediated drug-drug interactions involving S44121, a substrate and an inhibitor of OAT1 and OAT3. Model predictions were then compared to the results of a clinical DDI study which was carried out to investigate the interaction of S44121 with probenecid, tenofovir and ciprofloxacin. PBPK models were developed and qualified using existing clinical data, and inhibition constants were determined in vitro. The model predictions for S44121 as an OAT inhibitor were similar to the results obtained from the clinical DDI study, with no interaction observed for tenofovir or ciprofloxacin in the presence of S44121. An observed AUC ratio of 2.2 was obtained for S44121 in the presence of probenecid, which was slightly higher than the model predicted AUC ratio of 1.6. A DDI study in the monkey was also carried out for the interaction between S44121 and probenecid, since the monkey has previously been reported to be a good preclinical model for OAT-mediated DDI. However, this study highlighted a species difference in the major route of S44121 elimination between monkey (mainly hepatic metabolism) and human (mainly renal excretion of unchanged drug), rendering a comparison between the two DDI studies difficult. Overall, for S44121 the PBPK modelling approach gave a better prediction of the extent of DDI than the static predictions based on inhibitor Cmax and IC50, therefore this can be considered a potentially valuable tool within drug development.
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Affiliation(s)
- Kathryn Ball
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France.
| | - Tanguy Jamier
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France
| | - Yannick Parmentier
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Claire Denizot
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Agnes Mallier
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Marylore Chenel
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France
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40
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Darwich AS, Ogungbenro K, Vinks AA, Powell JR, Reny JL, Marsousi N, Daali Y, Fairman D, Cook J, Lesko LJ, McCune JS, Knibbe CAJ, de Wildt SN, Leeder JS, Neely M, Zuppa AF, Vicini P, Aarons L, Johnson TN, Boiani J, Rostami-Hodjegan A. Why Has Model-Informed Precision Dosing Not Yet Become Common Clinical Reality? Lessons From the Past and a Roadmap for the Future. Clin Pharmacol Ther 2017; 101:646-656. [DOI: 10.1002/cpt.659] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 02/07/2017] [Accepted: 02/07/2017] [Indexed: 12/17/2022]
Affiliation(s)
- A S Darwich
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - K Ogungbenro
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - A A Vinks
- Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA
- Department of Pediatrics; University of Cincinnati School of medicine; Cincinnati Ohio USA
| | - J R Powell
- Eshelman School of Pharmacy; University of North Carolina; Chapel Hill North Carolina USA
| | - J-L Reny
- Geneva Platelet Group, School of Medicine; University of Geneva; Geneva Switzerland
- Department of Internal Medicine, Rehabilitation and Geriatrics; Geneva University Hospitals; Geneva Switzerland
| | - N Marsousi
- Clinical Pharmacology and Toxicology; Geneva University Hospitals; Geneva Switzerland
| | - Y Daali
- Geneva Platelet Group, School of Medicine; University of Geneva; Geneva Switzerland
- Clinical Pharmacology and Toxicology; Geneva University Hospitals; Geneva Switzerland
| | - D Fairman
- Clinical Pharmacology Modeling and Simulation, GSK Stevenage; UK
| | - J Cook
- Clinical Pharmacology, Pfizer Inc; Groton Connecticut USA
| | - L J Lesko
- Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology; University of Florida at Lake Nona (Orlando); Orlando Florida USA
| | - J S McCune
- University of Washington Department of Pharmaceutics and Fred Hitchinson Cancer Research Center Clinical Research Division; Seattle Washington USA
| | - C A J Knibbe
- Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, the Netherlands and Division of Pharmacology, Leiden Academic Centre for Drug Research; Leiden University; the Netherlands
| | - S N de Wildt
- Department of Pharmacology and Toxicology; Radboud University; Nijmegen the Netherlands
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital; Rotterdam the Netherlands
| | - J S Leeder
- Division of Pediatric Pharmacology and Medical Toxicology, Department of Pediatrics, Children's Mercy Hospitals and Clinics; Kansas City Missouri USA
- Department of Pharmacology; University of Missouri-Kansas City; Kansas City Missouri USA
| | - M Neely
- University of Southern California and the Children's Hospital of Los Angeles; Los Angeles California USA
| | - A F Zuppa
- Children's Hospital of Philadelphia; Philadelphia Pennsylvania USA
| | - P Vicini
- Clinical Pharmacology, Pharmacometrics and DMPK, MedImmune; Cambridge UK
| | - L Aarons
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - T N Johnson
- Certara, Blades Enterprise Centre; Sheffield UK
| | - J Boiani
- Epstein Becker & Green; Washington DC USA
| | - A Rostami-Hodjegan
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
- Epstein Becker & Green; Washington DC USA
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41
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De Sousa Mendes M, Hirt D, Vinot C, Valade E, Lui G, Pressiat C, Bouazza N, Foissac F, Blanche S, Lê MP, Peytavin G, Treluyer JM, Urien S, Benaboud S. Prediction of human fetal pharmacokinetics using ex vivo human placenta perfusion studies and physiologically based models. Br J Clin Pharmacol 2016; 81:646-57. [PMID: 26518984 DOI: 10.1111/bcp.12815] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 10/08/2015] [Accepted: 10/27/2015] [Indexed: 01/04/2023] Open
Abstract
AIMS Pregnant women can be exposed to numerous drugs during the gestational period. For obvious ethical reasons, in vivo studies of fetal exposure to drugs are limited. Information about the transplacental transfer of drugs prior to their administration to pregnant women would be highly useful. In the present study, a novel approach was developed quantitatively predict or to predict the fetal exposure to drugs administered to the mother quantitatively. METHODS Transplacental parameters estimated from ex vivo human placenta perfusion experiments were implemented in pregnancy-physiologically based pharmacokinetic (p-PBPK) models in order to predict fetal PK. Thereafter, fetal PK profiles for two antiretroviral drugs, tenofovir (TFV) and emtricitabine (FTC) were simulated. These predictions were then compared to observed cord blood concentrations, to validate these models. RESULTS Parameters obtained from the ex vivo experiments enabled a good prediction of observed cord blood concentrations without additional a scaling factor. Moreover, a sensitivity analysis showed that fetal predictions were sensitive to changes in transplacental parameters values obtained ex vivo. CONCLUSION The integration of ex vivo human placental perfusion parameters in a p-PBPK model should be a promising new approach for predicting human fetal exposure to xenobiotics.
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Affiliation(s)
- Maïlys De Sousa Mendes
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Deborah Hirt
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,Service de Pharmacologie Clinique, AP-HP, Hôpital Cochin-Broca-Hôtel-Dieu-Dieu, 75014, Paris, France
| | - Cécile Vinot
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Elodie Valade
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Gabrielle Lui
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,Service de Pharmacologie Clinique, AP-HP, Hôpital Cochin-Broca-Hôtel-Dieu-Dieu, 75014, Paris, France
| | - Claire Pressiat
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Naïm Bouazza
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Frantz Foissac
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France
| | - Stephane Blanche
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,AP-HP, Hôpital Necker-Enfants-Malades, Unité d'Immunologie, Hématologie et Rhumatologie Pédiatriques, 75015, Paris, France
| | - Minh Patrick Lê
- AP-HP, Hôpital Bichat-Claude Bernard, Laboratoire de Pharmacologie, 75018, Paris, France
| | - Gilles Peytavin
- AP-HP, Hôpital Bichat-Claude Bernard, Laboratoire de Pharmacologie, 75018, Paris, France
| | - Jean-Marc Treluyer
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,Service de Pharmacologie Clinique, AP-HP, Hôpital Cochin-Broca-Hôtel-Dieu-Dieu, 75014, Paris, France
| | - Saik Urien
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,CIC-1419 Inserm, Cochin-Necker, Paris, France
| | - Sihem Benaboud
- EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.,Service de Pharmacologie Clinique, AP-HP, Hôpital Cochin-Broca-Hôtel-Dieu-Dieu, 75014, Paris, France
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