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Umehara K, Parrott N, Schindler E, Legras V, Meneses-Lorente G. PBPK Modeling of Entrectinib and Its Active Metabolite to Derive Dose Adjustments in Pediatric Populations Co-Administered with CYP3A4 Inhibitors. Clin Pharmacol Ther 2024; 116:1130-1140. [PMID: 39023380 DOI: 10.1002/cpt.3386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 06/29/2024] [Indexed: 07/20/2024]
Abstract
Physiologically based pharmacokinetic (PBPK) models of entrectinib and its equipotent metabolite, M5, were established in healthy adult subjects and extrapolated to pediatric patients to predict increases in steady-state systemic exposure on co-administration of strong and moderate CYP3A4 inhibitors (itraconazole at 5 mg/kg, erythromycin at 7.5-12.5 mg/kg and fluconazole at 3-12 mg/kg, respectively). Adult model establishment involved the optimization of fraction metabolized by CYP3A4 (0.92 for entrectinib and 0.98 for M5) using data from an itraconazole DDI study. This model captured well the exposure changes of entrectinib and M5 seen in adults co-administered with the strong CYP3A4 inducer rifampicin. In pediatrics, reasonable prediction of entrectinib and M5 pharmacokinetics in ≧2 year olds was achieved when using the default models for physiological development and enzyme ontogenies. However, a two to threefold misprediction of entrectinib and M5 exposures was seen in <2 year olds which may be due to missing mechanistic understanding of gut physiology and/or protein binding in very young children. Model predictions for ≧2 year olds showed that entrectinib AUC(0-t) was increased by approximately sevenfold and five to threefold by strong and high-moderate and low-moderate CYP3A4 inhibitors, respectively. Based on these victim DDI predictions, dose adjustments for entrectinib when given concomitantly with strong and moderate CYP3A4 inhibitors in pediatric subjects were recommended. These simulations informed the approved entrectinib label without the need for additional clinical pharmacology studies.
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Affiliation(s)
- Kenichi Umehara
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Neil Parrott
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Emilie Schindler
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Valentin Legras
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Georgina Meneses-Lorente
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., Basel, Switzerland
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Roche Products Ltd, Welwyn, UK
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2
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Liu L, Zhou Y, Huang X, Chen H, Gong Z, Zhang J, Zeng F, Zhou H, Zhang Y. Effects of WuZhi preparations on tacrolimus in pediatric and adult patients carrying the CYP3A5*1 allele of heart transplant during the early period after transplantation. Clin Transplant 2024; 38:e15237. [PMID: 38289887 DOI: 10.1111/ctr.15237] [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: 09/19/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 02/01/2024]
Abstract
AIM Wuzhi preparations (WZP) are commonly administrated with tacrolimus (TAC) in China to improve the liver function and increase the exposure of TAC. This study aims to investigate the effects of WZP on TAC in pediatric heart transplantation (HTx) patients carrying the CYP3A5*1 allele during the early period after transplantation and also make a comparison with these effects in adult recipients. METHODS A total of 81 recipients with CYP3A5*1 allele were included and divided into the pediatric group (n = 29) and adult group (n = 52). The changes in TAC dose-corrected trough blood concentrations (C0 /D), dose requirement as well as intra-patient variability(IPV) of C0 /D after co-therapy with WZP were evaluated. RESULTS The TAC C0 /D was significantly increased 1.7 and 1.8 times after co-administration of WZP in the pediatric and adult groups, respectively. We further analyzed the pediatric patients, found that no statistical difference was observed in TAC C0 /D before and after co-therapy with WZP in children <6 years old. The changes of C0 /D increased with the dose of the active ingredient (Schisantherin A) in adult patients, but not in pediatric patients. TAC IPV was reduced by 10.5% in pediatric patients and 4.8% in adult patients when co-administrated with WZP. Furthermore, after taking WZP, the AST and TB were dramatically lowered in pediatric recipients. CONCLUSION Our study is the first attempt to demonstrate the effects of WZP on TAC in pediatric HTx recipients. By comparing these effects to those observed in adult recipients, valuable insights can be gained regarding the efficacy and potential benefits of WZP in the pediatric population.
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Affiliation(s)
- Li Liu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
| | - Ying Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
| | - Xiao Huang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
| | - Hefen Chen
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhujun Gong
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang Zeng
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
| | - Hong Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
| | - Yu Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China
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van Groen BD, Allegaert K, Tibboel D, de Wildt SN. Innovative approaches and recent advances in the study of ontogeny of drug metabolism and transport. Br J Clin Pharmacol 2022; 88:4285-4296. [PMID: 32851677 PMCID: PMC9545189 DOI: 10.1111/bcp.14534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/10/2020] [Accepted: 08/16/2020] [Indexed: 11/30/2022] Open
Abstract
The disposition of a drug is driven by various processes, such as drug metabolism, drug transport, glomerular filtration and body composition. These processes are subject to developmental changes reflecting growth and maturation along the paediatric continuum. However, knowledge gaps exist on these changes and their clinical impact. Filling these gaps may aid better prediction of drug disposition and creation of age-appropriate dosing guidelines. We present innovative approaches to study these developmental changes in relation to drug metabolism and transport. First, analytical methods such as including liquid chromatography-mass spectrometry for proteomic analyses allow quantitation of the expressions of a wide variety of proteins, e.g. membrane transporters, in a small piece of organ tissue. The latter is specifically important for paediatric research, where tissues are scarcely available. Second, innovative study designs using radioactive labelled microtracers allowed study-without risk for the child-of the oral bioavailability of compounds used as markers for certain drug metabolism pathways. Third, the use of modelling and simulation to support dosing recommendations for children is supported by both the European Medicines Agency and the US Food and Drug Administration. This may even do away with the need for a paediatric trial. Physiologically based pharmacokinetics models, which include age-specific physiological information are, therefore, increasingly being used, not only to aid paediatric drug development but also to improve existing drug therapies.
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Affiliation(s)
- Bianca D. van Groen
- Intensive Care and Department of Pediatric Surgery, Erasmus MC‐Sophia Children's HospitalRotterdamthe Netherlands
| | - Karel Allegaert
- Department of Development and Regeneration, KU LeuvenLeuvenBelgium
- Department of Pharmacy and Pharmaceutical Sciences, KU LeuvenLeuvenBelgium
- Department of Clinical Pharmacy, Erasmus MCRotterdamthe Netherlands
| | - Dick Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC‐Sophia Children's HospitalRotterdamthe Netherlands
| | - Saskia N. de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC‐Sophia Children's HospitalRotterdamthe Netherlands
- Department of Pharmacology and ToxicologyRadboud Institute of Health Sciences, Radboud University Medical CenterNijmegenthe Netherlands
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4
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Emoto C, Johnson TN. Cytochrome P450 enzymes in the pediatric population: Connecting knowledge on P450 expression with pediatric pharmacokinetics. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2022; 95:365-391. [PMID: 35953161 DOI: 10.1016/bs.apha.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Cytochrome P450 enzymes play an important role in the pharmacokinetics, efficacy, and toxicity of drugs. Age-dependent changes in P450 enzyme expression have been studied based on several detection systems, as well as by deconvolution of in vivo pharmacokinetic data observed in pediatric populations. The age-dependent changes in P450 enzyme expression can be important determinants of drug disposition in childhood, in addition to the changes in body size and the other physiological parameters, and effects of pharmacogenetics and disease on organ functions. As a tool incorporating drug-specific and body-specific factors, physiologically-based pharmacokinetic (PBPK) models have become increasingly used to characterize and explore mechanistic insights into drug disposition. Thus, PBPK models can be a bridge between findings from basic science and utilization in predictive science. Pediatric PBPK models incorporate additional system specific information on developmental physiology and ontogeny and have been used to predict pharmacokinetic parameters from preterm neonates onwards. These models have been advocated by regulatory authorities in order to support pediatric clinical trials. The purpose of this chapter is to highlight accumulated knowledge and findings from basic research focusing on P450 enzymes, as well as the current status and future challenges of expanding the utilization of pediatric PBPK modeling.
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Affiliation(s)
- Chie Emoto
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Tokyo, Japan; Translational Research Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.
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5
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Li T, Hu B, Ye L, Feng Z, Huang L, Guo C, Wu X, Tan W, Wang Y, Yang G, Guo C. Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units. Int J Clin Pract 2022; 2022:2786914. [PMID: 36081809 PMCID: PMC9427250 DOI: 10.1155/2022/2786914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pediatric Intensive Care (PIC) database, with the aim of analyzing the incidence of clinically significant potential drug-drug interactions (pDDIs) and exploring the occurrence of actual adverse reactions. METHODS The Lexicomp database was used to screen cytochrome P450-mediated DDI pairings with good levels of reliability and clear clinical phenotypes. Patients exposed to the above drug pairs during the same period were screened in the PIC database. The incidence of clinically significant pDDIs was calculated, and the occurrence of adverse reactions was explored based on laboratory measurements. RESULTS In total, 84 (1.21%) of 6920 children who used two or more drugs were exposed to at least one clinically significant pDDI. All pDDIs were based on CYP3A4, with nifedipine + voriconazole (39.60%) being the most common drug pair, and the most frequent being the J02 class of drugs. Based on laboratory measurements, 15 adverse reactions were identified in 12 patients. CONCLUSIONS Clinically significant cytochrome P450-mediated pDDIs existed in the children admitted to ICUs, and some of the pDDIs led to adverse clinical outcomes. The use of clinical decision support systems can guide clinical medication use, and clinical monitoring of patients' needs has to be enhanced.
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Affiliation(s)
- Tong Li
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Biwen Hu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Ling Ye
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Zeying Feng
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Longjian Huang
- Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China
| | - Chengjun Guo
- School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, Guangdong, China
| | - Xiong Wu
- Easier Data Technologies Co., Ltd, Changsha 410016, China
| | - Wei Tan
- Department of Neonatology, Maternal& Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 53003, Guangxi Zhuang Autonomous Region, China
| | - Yi Wang
- Easier Data Technologies Co., Ltd, Changsha 410016, China
| | - Guoping Yang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
| | - Chengxian Guo
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China
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Cleary Y, Gertz M, Grimsey P, Günther A, Heinig K, Ogungbenro K, Aarons L, Galetin A, Kletzl H. Model-Based Drug-Drug Interaction Extrapolation Strategy From Adults to Children: Risdiplam in Pediatric Patients With Spinal Muscular Atrophy. Clin Pharmacol Ther 2021; 110:1547-1557. [PMID: 34347881 PMCID: PMC9291816 DOI: 10.1002/cpt.2384] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 07/14/2021] [Indexed: 12/14/2022]
Abstract
Risdiplam (Evrysdi) improves motor neuron function in patients with spinal muscular atrophy (SMA) and has been approved for the treatment of patients ≥2 months old. Risdiplam exhibits time‐dependent inhibition of cytochrome P450 (CYP) 3A in vitro. While many pediatric patients receive risdiplam, a drug–drug interaction (DDI) study in pediatric patients with SMA was not feasible. Therefore, a novel physiologically‐based pharmacokinetic (PBPK) model‐based strategy was proposed to extrapolate DDI risk from healthy adults to children with SMA in an iterative manner. A clinical DDI study was performed in healthy adults at relevant risdiplam exposures observed in children. Risdiplam caused an 1.11‐fold increase in the ratio of midazolam area under the curve with and without risdiplam (AUCR)), suggesting an 18‐fold lower in vivo CYP3A inactivation constant compared with the in vitro value. A pediatric PBPK model for risdiplam was validated with independent data and combined with a validated midazolam pediatric PBPK model to extrapolate DDI from adults to pediatric patients with SMA. The impact of selected intestinal and hepatic CYP3A ontogenies on the DDI susceptibility in children relative to adults was investigated. The PBPK analysis suggests that primary CYP3A inhibition by risdiplam occurs in the intestine rather than the liver. The PBPK‐predicted risdiplam CYP3A inhibition risk in pediatric patients with SMA aged 2 months–18 years was negligible (midazolam AUCR of 1.09–1.18) and included in the US prescribing information of risdiplam. Comprehensive evaluation of the sensitivity of predicted CYP3A DDI on selected intestinal and hepatic CYP3A ontogeny functions, together with PBPK model‐based strategy proposed here, aim to guide and facilitate DDI extrapolations in pediatric populations.
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Affiliation(s)
- Yumi Cleary
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland.,Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Michael Gertz
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Paul Grimsey
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Welwyn, UK
| | - Andreas Günther
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Katja Heinig
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Leon Aarons
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, University of Manchester, Manchester, UK
| | - Heidemarie Kletzl
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland
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Nind J, Smith A, Devananda M, Auvray B. A whole of population retrospective observational study on the rates of polypharmacy in New Zealand 2014 to 2018 Polypharmacy in New Zealand: What is the current status? Health Sci Rep 2021; 4:e263. [PMID: 33732897 PMCID: PMC7945953 DOI: 10.1002/hsr2.263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/29/2021] [Accepted: 02/07/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND AND AIMS Polypharmacy (≥5 medicines) and hyperpolypharmacy (≥10 medicines) can significantly impact people's health. The literature surrounding polypharmacy focuses on the elderly, particularly rest home populations, with few studies looking into younger age bands. Moreover, there have been no recent studies looking into the rates of polypharmacy in New Zealand. This study aimed to determine whether polypharmacy rates have increased over time in the New Zealand population. Specifically investigating polypharmacy rates across age and ethnicity, and identifying which medicines are most commonly prescribed in people with polypharmacy. METHODS A nationwide retrospective observational study was carried out between 2014 and 2018 on 4 697 274 New Zealanders (96% of the population) by linking dispensing data from the Pharmaceutical Collection to patient enrolment data using a National Health Identifier (NHI) to identify the rate of long-term medicine prescribing in New Zealand. RESULTS Our study found the rate of polypharmacy to be 9.93% and hyperpolypharmacy to be 1.92% nationwide in 2018, a percentage increase of 4.1% and 7.11% from 2014, respectively. During the same period, we observed the greatest percentage increase (30.37%) in the rate of polypharmacy in the 20 to 29 age band while the rates decreased in older populations. Variation was also noted between ethnicities. Medicines contributing to polypharmacy differed by age group. CONCLUSION Current methods for minimizing polypharmacy and optimizing medicines use are narrowly focused on the elderly. Despite an increase in education and awareness raising campaigns, rates continue to rise in New Zealand's population.
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Affiliation(s)
- James Nind
- School of Pharmacy, University of OtagoDunedinNew Zealand
| | - Alesha Smith
- School of Pharmacy, University of OtagoDunedinNew Zealand
- Airmed LtdDunedinNew Zealand
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Gonzalez D, Sinha J. Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations. J Clin Pharmacol 2021; 61 Suppl 1:S175-S187. [PMID: 34185913 PMCID: PMC8500325 DOI: 10.1002/jcph.1881] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 04/18/2021] [Indexed: 12/27/2022]
Abstract
Hospitalized pediatric patients and those with complex or chronic conditions treated on an outpatient basis are commonly prescribed multiple drugs, resulting in increased risk for drug-drug interactions (DDIs). Although dedicated DDI evaluations are routinely performed in healthy adult volunteers during drug development, they are rarely performed in pediatric patients because of ethical, logistical, and methodological challenges. In the absence of pediatric DDI evaluations, adult DDI data are often extrapolated to pediatric patients. However, the magnitude of a DDI in pediatric patients may differ from adults because of age-dependent physiological changes that can impact drug disposition or response and because of other factors related to the drug (eg, dose, formulation) and the patient population (eg, disease state, obesity). Therefore, the DDI magnitude needs to be assessed in children separately from adults, although a lack of clinical DDI data in pediatric populations makes this evaluation challenging. As a result, pediatric DDI assessment relies on the predictive performance of the pharmacometric approaches used, such as population and physiologically based pharmacokinetic modeling. Therefore, careful consideration needs to be given to adequately account for the age-dependent physiological changes in these models to build high confidence for such untested DDI scenarios. This review article summarizes the key considerations related to the drug, patient population, and methodology, and how they can impact DDI evaluation in the pediatric population.
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Affiliation(s)
- Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jaydeep Sinha
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina, Chapel Hill, North Carolina, USA
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Chapron BD, Chapron A, Leeder JS. Recent advances in the ontogeny of drug disposition. Br J Clin Pharmacol 2021; 88:4267-4284. [PMID: 33733546 DOI: 10.1111/bcp.14821] [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: 07/14/2020] [Revised: 02/12/2021] [Accepted: 02/22/2021] [Indexed: 12/11/2022] Open
Abstract
Developmental changes that occur throughout childhood have long been known to impact drug disposition. However, pharmacokinetic studies in the paediatric population have historically been limited due to ethical concerns arising from incorporating children into clinical trials. As such, much of the early work in the field of developmental pharmacology was reliant on difficult-to-interpret in vitro and in vivo animal studies. Over the last 2 decades, our understanding of the mechanistic processes underlying age-related changes in drug disposition has advanced considerably. Progress has largely been driven by technological advances in mass spectrometry-based methods for quantifying proteins implicated in drug disposition, and in silico tools that leverage these data to predict age-related changes in pharmacokinetics. This review summarizes our current understanding of the impact of childhood development on drug disposition, particularly focusing on research of the past 20 years, but also highlighting select examples of earlier foundational research. Equally important to the studies reviewed herein are the areas that we cannot currently describe due to the lack of research evidence; these gaps provide a map of drug disposition pathways for which developmental trends still need to be characterized.
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Affiliation(s)
- Brian D Chapron
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - Alenka Chapron
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - J Steven Leeder
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA.,Schools of Medicine and Pharmacy, University of Missouri-Kansas City, MO, USA
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10
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Naji-Talakar S, Sharma S, Martin LA, Barnhart D, Prasad B. Potential implications of DMET ontogeny on the disposition of commonly prescribed drugs in neonatal and pediatric intensive care units. Expert Opin Drug Metab Toxicol 2021; 17:273-289. [PMID: 33256492 PMCID: PMC8346204 DOI: 10.1080/17425255.2021.1858051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/27/2020] [Indexed: 10/22/2022]
Abstract
Introduction: Pediatric patients, especially neonates and infants, are more susceptible to adverse drug events as compared to adults. In particular, immature small molecule drug metabolism and excretion can result in higher incidences of pediatric toxicity than adults if the pediatric dose is not adjusted.Area covered: We reviewed the top 29 small molecule drugs prescribed in neonatal and pediatric intensive care units and compiled the mechanisms of their metabolism and excretion. The ontogeny of Phase I and II drug metabolizing enzymes and transporters (DMETs), particularly relevant to these drugs, are summarized. The potential effects of DMET ontogeny on the metabolism and excretion of the top pediatric drugs were predicted. The current regulatory requirements and recommendations regarding safe and effective use of drugs in children are discussed. A few representative examples of the use of ontogeny-informed physiologically based pharmacokinetic (PBPK) models are highlighted.Expert opinion: Empirical prediction of pediatric drug dosing based on body weight or body-surface area from the adult parameters can be inaccurate because DMETs are not mature in children and the age-dependent maturation of these proteins is different. Ontogeny-informed-PBPK modeling provides a better alternative to predict the pharmacokinetics of drugs in children.
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Affiliation(s)
- Siavosh Naji-Talakar
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Sheena Sharma
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Leslie A. Martin
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Derek Barnhart
- Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, USA
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
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11
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Lang J, Vincent L, Chenel M, Ogungbenro K, Galetin A. Impact of Hepatic CYP3A4 Ontogeny Functions on Drug–Drug Interaction Risk in Pediatric Physiologically‐Based Pharmacokinetic/Pharmacodynamic Modeling: Critical Literature Review and Ivabradine Case Study. Clin Pharmacol Ther 2020; 109:1618-1630. [DOI: 10.1002/cpt.2134] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 11/21/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Jennifer Lang
- Centre for Applied Pharmacokinetic Research Division of Pharmacy and Optometry, School of Health Sciences Faculty of Biology, Medicine and Health Manchester Academic Health Science Centre University of Manchester Manchester UK
| | - Ludwig Vincent
- Centre de Pharmacocinétique et Métabolisme Technologie Servier Orléans France
| | - Marylore Chenel
- Clinical Pharmacokinetics and Pharmacometrics Institut de Recherches Internationales Servier Suresnes France
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research Division of Pharmacy and Optometry, School of Health Sciences Faculty of Biology, Medicine and Health Manchester Academic Health Science Centre University of Manchester Manchester UK
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research Division of Pharmacy and Optometry, School of Health Sciences Faculty of Biology, Medicine and Health Manchester Academic Health Science Centre University of Manchester Manchester UK
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12
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Tsai A, Wu SP, Haseltine E, Kumar S, Moskowitz SM, Panorchan P, Shah K. Physiologically Based Pharmacokinetic Modeling of CFTR Modulation in People with Cystic Fibrosis Transitioning from Mono or Dual Regimens to Triple-Combination Elexacaftor/Tezacaftor/Ivacaftor. Pulm Ther 2020; 6:275-286. [PMID: 32734574 PMCID: PMC7672136 DOI: 10.1007/s41030-020-00124-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION The triple-combination (TC) cystic fibrosis transmembrane conductance regulator (CFTR) modulator regimen elexacaftor, tezacaftor, and ivacaftor was shown to be safe and efficacious in phase 3 trials of people with cystic fibrosis (pwCF) ≥ 12 years of age with ≥ 1 F508del-CFTR allele. Here, a simulation study predicted ivacaftor, tezacaftor, and elexacaftor exposures and impacts on CFTR modulation following transition from ivacaftor [a cytochrome P450 3A (CYP3A) substrate], lumacaftor (a CYP3A inducer)/ivacaftor, or tezacaftor/ivacaftor to TC. METHODS Physiologically based pharmacokinetic (PBPK) modeling was used to evaluate plasma exposures during transition from mono- or dual-combination CFTR modulator regimens to TC. PBPK models were parameterized using data from human hepatocytes to account for CYP3A induction by lumacaftor and validated to match clinical data from healthy volunteers and pwCF. Using dosing regimens for pwCF ≥ 12 years of age, simulations were performed for ivacaftor, lumacaftor/ivacaftor, and tezacaftor/ivacaftor dosing for 14 days followed by immediate transition to elexacaftor/tezacaftor/ivacaftor dosing for 14 days. Drug exposures during transitions were compared with respective half-maximal effective concentrations (EC50) estimated from efficacy endpoint data from clinical studies. RESULTS In simulations of immediate transition from ivacaftor or tezacaftor/ivacaftor to TC, the preceding treatment had no impact on ivacaftor, tezacaftor, or elexacaftor exposures. In simulations of immediate transition from lumacaftor/ivacaftor to TC, ivacaftor exposure decreased to 64% of maximum effective concentration (EC), due to reduction in ivacaftor dose and residual CYP3A4 induction, then returned to 90-95% of maximum EC. Lumacaftor-mediated CYP3A induction resolved within approximately 2 weeks. In all simulations, ivacaftor, tezacaftor, and elexacaftor exposures approached steady state within 2 weeks following transition and, at all times, ivacaftor and ≥ 1 CFTR corrector remained above EC50. CONCLUSION PBPK modeling indicates that immediate transition to the elexacaftor/tezacaftor/ivacaftor regimen from an ivacaftor, lumacaftor/ivacaftor, or tezacaftor/ivacaftor regimen results in sustained CFTR modulation in pwCF ≥ 12 years of age.
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Affiliation(s)
- Alice Tsai
- Vertex Pharmaceuticals Incorporated, Boston, MA, USA.
| | - Shu-Pei Wu
- Vertex Pharmaceuticals Incorporated, Boston, MA, USA
| | | | - Sanjeev Kumar
- Vertex Pharmaceuticals Incorporated, Boston, MA, USA
| | | | | | - Kushal Shah
- Vertex Pharmaceuticals Incorporated, Boston, MA, USA
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13
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Physiologically-based pharmacokinetic models for children: Starting to reach maturation? Pharmacol Ther 2020; 211:107541. [DOI: 10.1016/j.pharmthera.2020.107541] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 03/19/2020] [Indexed: 12/13/2022]
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Rasool MF, Khalid R, Imran I, Majeed A, Saeed H, Alasmari F, Alanazi MM, Alqahtani F. Investigating the Role of Altered Systemic Albumin Concentration on the Disposition of Theophylline in Adult and Pediatric Patients with Asthma by Using the Physiologically Based Pharmacokinetic Approach. Drug Metab Dispos 2020; 48:570-579. [PMID: 32393652 DOI: 10.1124/dmd.120.090969] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 04/20/2020] [Indexed: 12/18/2022] Open
Abstract
Theophylline is commonly used for the treatment of asthma and has a low hepatic clearance. The changes in plasma albumin concentration occurring in asthma may affect the exposure of theophylline. The aim of the presented work was to predict theophylline pharmacokinetics (PK) after incorporating the changes in plasma albumin concentration occurring in patients with asthma into a physiologically based pharmacokinetic (PBPK) model to see whether these changes can affect the systemic theophylline concentrations in asthma. The PBPK model was developed following a systematic model building approach using Simcyp. The predictions were performed initially in healthy adults after intravenous and oral drug administration. Only when the developed adult PBPK model had adequately predicted theophylline PK in healthy adults, the changes in plasma albumin concentrations were incorporated into the model for predicting drug exposure in patients with asthma. After evaluation of the developed model in the adult population, it was scaled to children on physiologic basis. The model evaluation was performed by using visual predictive checks and comparison of ratio of observed and predicted (Robs/Pre) PK parameters along with their 2-fold error range. The developed PBPK model has effectively described theophylline PK in both healthy and diseased populations, as Robs/Pre for all the PK parameters were within the 2-fold error limit. The predictions in patients with asthma showed that there were no significant changes in PK parameters after incorporating the changes in serum albumin concentration. The mechanistic nature of the developed asthma-PBPK model can facilitate its extension to other drugs. SIGNIFICANCE STATEMENT: Exposure of a low hepatic clearance drug like theophylline may be susceptible to plasma albumin concentration changes that occur in asthma. These changes in systemic albumin concentrations can be incorporated into a physiologically based pharmacokinetic model to predict theophylline pharmacokinetics in adult and pediatric asthma populations. The presented work is focused on predicting theophylline absorption, distribution, metabolism, and elimination in adult and pediatric asthma populations after incorporating reported changes in serum albumin concentrations to see their impact on the systemic theophylline concentrations.
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Affiliation(s)
- Muhammad Fawad Rasool
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Ramsha Khalid
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Imran Imran
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Abdul Majeed
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Hamid Saeed
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Fawaz Alasmari
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Mohammed Mufadhe Alanazi
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
| | - Faleh Alqahtani
- Departments of Pharmacy Practice (M.F.R., R.K., A.M.) and Pharmacology (I.I.), Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan; Section of Pharmaceutics, University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, Pakistan (H.S.); and Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia (F.F.A., M.M.A., F.A.)
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Hassanzad M, Tashayoie Nejad S, Mahboobipour AA, Salem F, Baniasadi S. Potential drug-drug interactions in hospitalized pediatric patients with respiratory disorders: a retrospective review of clinically important interactions. Drug Metab Pers Ther 2020; 35:/j/dmdi.ahead-of-print/dmpt-2019-0012/dmpt-2019-0012.xml. [PMID: 32004144 DOI: 10.1515/dmpt-2019-0012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 12/16/2019] [Indexed: 11/15/2022]
Abstract
Background Hospitalized pediatric patients are at an increased risk of experiencing potential drug-drug interactions (pDDIs) due to polypharmacy and the unlicensed and off-label administration of drugs. The aim of this study is to characterize clinically significant pDDIs in pediatric patients hospitalized in a tertiary respiratory center. Methods A retrospective analysis of medications prescribed to pediatric patients admitted to the pediatric ward (PW) and pediatric intensive care unit (PICU) of a respiratory referral center was carried out over a six-month period. The pDDIs were identified using the Lexi-Interact database and considered as clinically relevant according to the severity rating as defined in the database. Frequency, drug classes, mechanisms, clinical managements, and risk factors were recorded for these potential interactions. Results Eight hundred and forty-five pDDIs were identified from the analysis of 176 prescriptions. Of the total pDDIs, 10.2% in PW and 14.6% in PICU were classified as clinically significant. Anti-infective agents and central nervous system drugs were the main drug classes involved in clinically significant pDDIs as object and/or precipitant drugs. A higher number of medications [odds ratio (OR): 4.8; 95% confidence interval (CI): 2.0-11.4; p < 0.001] and the existence of a nonrespiratory disease, which led to a respiratory disorder (OR: 3.8; 95% CI: 1.40-10.4; p < 0.05), were the main risk factors associated with an increased incidence of pDDIs. Conclusions A high and similar risk of pDDIs exists in pediatric patients with respiratory disorders hospitalized in PW and PICU. The patients prescribed a higher number of medications and presenting respiratory symptoms induced by a nonrespiratory disease require extra care and monitoring. Pediatricians should be educated about clinically significant DDIs for highly prescribed medications in their settings in order to take preventive measures and safeguard patient safety.
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Affiliation(s)
- Maryam Hassanzad
- Pediatric Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sabereh Tashayoie Nejad
- Pediatric Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Farzaneh Salem
- Certara UK Limited, Simcyp Division, Sheffield, United Kingdom
| | - Shadi Baniasadi
- Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Adiwidjaja J, Boddy AV, McLachlan AJ. Implementation of a Physiologically Based Pharmacokinetic Modeling Approach to Guide Optimal Dosing Regimens for Imatinib and Potential Drug Interactions in Paediatrics. Front Pharmacol 2020; 10:1672. [PMID: 32082165 PMCID: PMC7002565 DOI: 10.3389/fphar.2019.01672] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/23/2019] [Indexed: 12/18/2022] Open
Abstract
Long-term use of imatinib is effective and well-tolerated in children with chronic myeloid leukaemia (CML) yet defining an optimal dosing regimen for imatinib in younger patients is a challenge. The potential interactions between imatinib and coadministered drugs in this "special" population also remains largely unexplored. This study implements a physiologically based pharmacokinetic (PBPK) modeling approach to investigate optimal dosing regimens and potential drug interactions with imatinib in the paediatric population. A PBPK model for imatinib was developed in the Simcyp Simulator (version 17) utilizing in silico, in vitro drug metabolism, and in vivo pharmacokinetic data and verified using an independent set of published clinical pharmacokinetic data. The model was then extrapolated to children and adolescents (aged 2-18 years) by incorporating developmental changes in organ size and maturation of drug-metabolising enzymes and plasma protein responsible for imatinib disposition. The PBPK model described imatinib pharmacokinetics in adult and paediatric populations and predicted drug interaction with carbamazepine, a cytochrome P450 (CYP)3A4 and 2C8 inducer, with a good accuracy (evaluated by visual inspections of the simulation results and predicted pharmacokinetic parameters that were within 1.25-fold of the clinically observed values). The PBPK simulation suggests that the optimal dosing regimen range for imatinib is 230-340 mg/m2/d in paediatrics, which is supported by the recommended initial dose for treatment of childhood CML. The simulations also highlighted that children and adults being treated with imatinib have similar vulnerability to CYP modulations. A PBPK model for imatinib was successfully developed with an excellent performance in predicting imatinib pharmacokinetics across age groups. This PBPK model is beneficial to guide optimal dosing regimens for imatinib and predict drug interactions with CYP modulators in the paediatric population.
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Affiliation(s)
- Jeffry Adiwidjaja
- Sydney Pharmacy School, The University of Sydney, Sydney, NSW, Australia
| | - Alan V. Boddy
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia
- University of South Australia Cancer Research Institute, University of South Australia, Adelaide, SA, Australia
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Rosen K, Wiesen MH, Oberthür A, Michels G, Roth B, Fietz C, Müller C. Drug-drug interactions in Neonatal Intensive Care Units: how to overcome a challenge. Minerva Pediatr (Torino) 2019; 73:188-197. [PMID: 31621271 DOI: 10.23736/s2724-5276.19.05388-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Critically ill patients in neonatal intensive-care units (NICU) are exposed to a large number of drugs. Clinical trials for safety, dosing and efficacy are lacking although age-dependent alterations of pharmacokinetics (PK), drug-drug-interactions (DDIs), as well as intravenous admixture incompatibilities (IAI) may impact drug efficacy and trigger side-effects in this vulnerable population. Consequently, implementation of a routinely used DDIs checking regimen may help guide in decision making and will assist clinicians to avoid serious and preventable events. Therefore, the goal of the present work is to identify and assess the risk of relevant DDIs of drugs commonly used in the NICU. EVIDENCE ACQUISITION A literature review study was performed to identify and further assess the risk of relevant DDIs of 48 drugs frequently used in the tertiary care NICU of the University Hospital of Cologne. DDIs were categorized into five different classes according to their severity (contraindicated, minor, moderate, and major DDI, IAI), based on the classification used in the Micromedex database. In the database a major interaction is defined as any interaction that can be life threatening and/or demands medical intervention to avoid severe adverse effects. Moderate interactions can lead to a degradation of the patient's status and demand an adjustment in the therapy, and minor interactions only have a limited clinical effect. All identified DDIs in the present study are presented as a Visual Interaction Triangle (VIT) and recommendations on the management of clinically significant DDIs are provided. EVIDENCE SYNTHESIS According to the classification used in the Micromedex database: a total of 160 (13.2%) possible interactions (DDI, IAI) were found. Fifty-five (4.9%) cases were categorized as serious interactions (DDI-major), 48 (4.2%) were less severe (DDI-moderate/minor) and in 52 (4.6%) cases an intravenous admixture drug interaction was found. Five (0.4%) drug-combinations were contraindicated. CONCLUSIONS In this web-based study, a total of 160 DDIs were identified. Although only 4.9% were classified as clinically relevant, practitioners can use the presented VIT as a unique clinical reference to avoid possible predictable adverse effects and to uncover possible drug-interaction potential.
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Affiliation(s)
- Kai Rosen
- Division of Therapeutic Drug Monitoring, Center of Pharmacology, University Hospital of Cologne, Cologne, Germany
| | - Martin H Wiesen
- Division of Therapeutic Drug Monitoring, Center of Pharmacology, University Hospital of Cologne, Cologne, Germany
| | - André Oberthür
- Unit of Neonatal and Pediatric Intensive Care Medicine, Children's Hospital, University Hospital of Cologne, Cologne, Germany
| | - Guido Michels
- Heart Center, Third Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Bernd Roth
- Unit of Neonatal and Pediatric Intensive Care Medicine, Children's Hospital, University Hospital of Cologne, Cologne, Germany
| | - Cornelia Fietz
- Division of Therapeutic Drug Monitoring, Center of Pharmacology, University Hospital of Cologne, Cologne, Germany
| | - Carsten Müller
- Division of Therapeutic Drug Monitoring, Center of Pharmacology, University Hospital of Cologne, Cologne, Germany -
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Ladumor MK, Bhatt DK, Gaedigk A, Sharma S, Thakur A, Pearce RE, Leeder JS, Bolger MB, Singh S, Prasad B. Ontogeny of Hepatic Sulfotransferases and Prediction of Age-Dependent Fractional Contribution of Sulfation in Acetaminophen Metabolism. Drug Metab Dispos 2019; 47:818-831. [PMID: 31101678 PMCID: PMC6614793 DOI: 10.1124/dmd.119.086462] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 05/09/2019] [Indexed: 12/16/2022] Open
Abstract
Cytosolic sulfotransferases (SULTs), including SULT1A, SULT1B, SULT1E, and SULT2A isoforms, play noteworthy roles in xenobiotic and endobiotic metabolism. We quantified the protein abundances of SULT1A1, SULT1A3, SULT1B1, and SULT2A1 in human liver cytosol samples (n = 194) by liquid chromatography-tandem mass spectrometry proteomics. The data were analyzed for their associations by age, sex, genotype, and ethnicity of the donors. SULT1A1, SULT1B1, and SULT2A1 showed significant age-dependent protein abundance, whereas SULT1A3 was invariable across 0-70 years. The respective mean abundances of SULT1A1, SULT1B1, and SULT2A1 in neonatal samples was 24%, 19%, and 38% of the adult levels. Interestingly, unlike UDP-glucuronosyltransferases and cytochrome P450 enzymes, SULT1A1 and SULT2A1 showed the highest abundance during early childhood (1 to <6 years), which gradually decreased by approx. 40% in adolescents and adults. SULT1A3 and SULT1B1 abundances were significantly lower in African Americans compared with Caucasians. Multiple linear regression analysis further confirmed the association of SULT abundances by age, ethnicity, and genotype. To demonstrate clinical application of the characteristic SULT ontogeny profiles, we developed and validated a proteomics-informed physiologically based pharmacokinetic model of acetaminophen. The latter confirmed the higher fractional contribution of sulfation over glucuronidation in the metabolism of acetaminophen in children. The study thus highlights that the ontogeny-based age-dependent fractional contribution (fm) of individual drug-metabolizing enzymes has better potential in prediction of drug-drug interactions and the effect of genetic polymorphisms in the pediatric population.
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Affiliation(s)
- Mayur K Ladumor
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Deepak Kumar Bhatt
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Andrea Gaedigk
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Sheena Sharma
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Aarzoo Thakur
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Robin E Pearce
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - J Steven Leeder
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Michael B Bolger
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Saranjit Singh
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
| | - Bhagwat Prasad
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India (M.K.L., S.Sh., A.T., S.Si.); Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.); and Simulations Plus, Inc., Lancaster, California (M.B.B.)
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Salerno SN, Burckart GJ, Huang SM, Gonzalez D. Pediatric Drug-Drug Interaction Studies: Barriers and Opportunities. Clin Pharmacol Ther 2018; 105:1067-1070. [PMID: 30362111 DOI: 10.1002/cpt.1234] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 08/26/2018] [Indexed: 01/25/2023]
Affiliation(s)
- Sara N Salerno
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gilbert J Burckart
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Shiew-Mei Huang
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Zakaria Z, Badhan RKS. The impact of CYP2B6 polymorphisms on the interactions of efavirenz with lumefantrine: Implications for paediatric antimalarial therapy. Eur J Pharm Sci 2018; 119:90-101. [PMID: 29635009 DOI: 10.1016/j.ejps.2018.04.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 02/08/2018] [Accepted: 04/05/2018] [Indexed: 12/20/2022]
Abstract
Lumefantrine is a widely used antimalarial in children in sub-Saharan Africa and is predominantly metabolised by CYP3A4. The concomitant use of lumefantrine with the antiretroviral efavirenz, which is metabolised by CYP2B6 and is an inducer of CYP3A4, increases the risk of lumefantrine failure and can result in an increased recrudescence rate in HIV-infected children. This is further confounded by CYP2B6 being highly polymorphic resulting in a 2-3 fold higher efavirenz plasma concentration in polymorphic subjects, which enhances the potential for an efavirenz-lumefantrine drug-drug interaction (DDI). This study developed a population-based PBPK model capable of predicting the impact of efavirenz-mediated DDIs on lumefantrine pharmacokinetics in African paediatric population groups, which also considered the polymorphic nature of CYP2B6. The validated model demonstrated a significant difference in lumefantrine target day 7 concentrations (Cd7) in the presence and absence of efavirenz and confirmed the capability of efavirenz to initiate this DDI. This was more apparent in the *6/*6 compared to *1/*1 population group and resulted in a significantly lower (P < 0.001) lumefantrine Cd7. A prospective change in dosing schedule from 3-days to 7-days resulted in a greater number of *6/*6 subjects (28-57%) attaining the target Cd7 across age bands (0.25-13 years), with the greatest increase evident in the 1-4 year old group (3-day: 1%; 7-day: 28%).
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Affiliation(s)
- Zaril Zakaria
- Aston Health Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom; Ministry Of Health Malaysia, Block E1, E3, E6, E7 & E10, Parcel E, Federal Government Administration Centre, 62590 Putrajaya, Malaysia
| | - Raj K S Badhan
- Aston Health Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom; Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom.
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Strategies for Determining Correct Cytochrome P450 Contributions in Hepatic Clearance Predictions: In Vitro-In Vivo Extrapolation as Modelling Approach and Tramadol as Proof-of Concept Compound. Eur J Drug Metab Pharmacokinet 2018; 42:537-543. [PMID: 27317395 DOI: 10.1007/s13318-016-0355-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND OBJECTIVE Although the measurement of cytochrome P450 (CYP) contributions in metabolism assays is straightforward, determination of actual in vivo contributions might be challenging. How representative are in vitro for in vivo CYP contributions? This article proposes an improved strategy for the determination of in vivo CYP enzyme-specific metabolic contributions, based on in vitro data, using an in vitro-in vivo extrapolation (IVIVE) approach. Approaches are exemplified using tramadol as model compound, and CYP2D6 and CYP3A4 as involved enzymes. METHODS Metabolism data for tramadol and for the probe substrates midazolam (CYP3A4) and dextromethorphan (CYP2D6) were gathered in human liver microsomes (HLM) and recombinant human enzyme systems (rhCYP). From these probe substrates, an activity-adjustment factor (AAF) was calculated per CYP enzyme, for the determination of correct hepatic clearance contributions. As a reference, tramadol CYP contributions were scaled-back from in vivo data (retrograde approach) and were compared with the ones derived in vitro. In this view, the AAF is an enzyme-specific factor, calculated from reference probe activity measurements in vitro and in vivo, that allows appropriate scaling of a test drug's in vitro activity to the 'healthy volunteer' population level. Calculation of an AAF, thus accounts for any 'experimental' or 'batch-specific' activity difference between in vitro HLM and in vivo derived activity. RESULTS In this specific HLM batch, for CYP3A4 and CYP2D6, an AAF of 0.91 and 1.97 was calculated, respectively. This implies that, in this batch, the in vitro CYP3A4 activity is 1.10-fold higher and the CYP2D6 activity 1.97-fold lower, compared to in vivo derived CYP activities. CONCLUSION This study shows that, in cases where the HLM pool does not represent the typical mean population CYP activities, AAF correction of in vitro metabolism data, optimizes CYP contributions in the prediction of hepatic clearance. Therefore, in vitro parameters for any test compound, obtained in a particular batch, should be corrected with the AAF for the respective enzymes. In the current study, especially the CYP2D6 contribution was found, to better reflect the average in vivo situation. It is recommended that this novel approach is further evaluated using a broader range of compounds.
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Pharmacokinetics and Drug-Drug Interactions of Lopinavir-Ritonavir Administered with First- and Second-Line Antituberculosis Drugs in HIV-Infected Children Treated for Multidrug-Resistant Tuberculosis. Antimicrob Agents Chemother 2018; 62:AAC.00420-17. [PMID: 29133558 DOI: 10.1128/aac.00420-17] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 10/13/2017] [Indexed: 11/20/2022] Open
Abstract
Lopinavir-ritonavir forms the backbone of current first-line antiretroviral regimens in young HIV-infected children. As multidrug-resistant (MDR) tuberculosis (TB) frequently occurs in young children in high-burden TB settings, it is important to identify potential interactions between MDR-TB treatment and lopinavir-ritonavir. We describe the pharmacokinetics of and potential drug-drug interactions between lopinavir-ritonavir and drugs routinely used for MDR-TB treatment in HIV-infected children. A combined population pharmacokinetic model was developed to jointly describe the pharmacokinetics of lopinavir and ritonavir in 32 HIV-infected children (16 with MDR-TB receiving treatment with combinations of high-dose isoniazid, pyrazinamide, ethambutol, ethionamide, terizidone, a fluoroquinolone, and amikacin and 16 without TB) who were established on a lopinavir-ritonavir-containing antiretroviral regimen. One-compartment models with first-order absorption and elimination for both lopinavir and ritonavir were combined into an integrated model. The dynamic inhibitory effect of the ritonavir concentration on lopinavir clearance was described using a maximum inhibition model. Even after adjustment for the effect of body weight with allometric scaling, a large variability in lopinavir and ritonavir exposure, together with strong correlations between the pharmacokinetic parameters of lopinavir and ritonavir, was detected. MDR-TB treatment did not have a significant effect on the bioavailability, clearance, or absorption rate constants of lopinavir or ritonavir. Most children (81% of children with MDR-TB, 88% of controls) achieved therapeutic lopinavir trough concentrations (>1 mg/liter). The coadministration of lopinavir-ritonavir with drugs routinely used for the treatment of MDR-TB was found to have no significant effect on the key pharmacokinetic parameters of lopinavir or ritonavir. These findings should be considered in the context of the large interpatient variability found in the present study and the study's modest sample size.
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23
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Li H, Canet MJ, Clarke JD, Billheimer D, Xanthakos SA, Lavine JE, Erickson RP, Cherrington NJ. Pediatric Cytochrome P450 Activity Alterations in Nonalcoholic Steatohepatitis. Drug Metab Dispos 2017; 45:1317-1325. [PMID: 28986475 PMCID: PMC5697442 DOI: 10.1124/dmd.117.077644] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 09/28/2017] [Indexed: 01/01/2023] Open
Abstract
Variable drug responses depend on individual variation in the activity of drug-metabolizing enzymes, including cytochrome P450 enzymes (CYP). As the most common chronic liver disease in children and adults, nonalcoholic steatohepatitis (NASH) has been identified as a source of significant interindividual variation in hepatic drug metabolism. Compared with adults, children present age-related differences in pharmacokinetics and pharmacodynamics. The purpose of this study was to determine the impact of fatty liver disease severity on the activity of a variety of CYP enzymes in children and adolescents. Healthy and nonalcoholic fatty liver disease pediatric subjects aged 12-21 years inclusive received an oral cocktail of four probe drugs: caffeine (CYP1A2, 100 mg), omeprazole (CYP2C19, 20 mg), losartan (CYP2C9, 25 mg), and midazolam (CYP3A4, 2 mg). Venous blood and urine were collected before administration and 1, 2, 4, and 6 hours after administration. Concentrations of the parent drugs and CYP-specific metabolites were quantified in plasma and urine using liquid chromatography with tandem mass spectrometry. In plasma, the decreased metabolic area under the curve (AUC) ratio, defined as the metabolite AUC to parent AUC, of omeprazole indicated significant decreases of CYP2C19 (P = 0.002) enzymatic activities in NASH adolescents, while the urine analyses did not show significant differences and were highly variable. A comparison between the present in vivo pediatric studies and a previous ex vivo study in adults indicates distinct differences in the activities of CYP1A2 and CYP2C9. These data demonstrate that pediatric NASH presents an altered pattern of CYP activity and NASH should be considered as a confounder of drug metabolism for certain CYP enzymes. These differences could lead to future investigations that may reveal unexpected variable drug responses that should be considered in pediatric dosage recommendations.
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Affiliation(s)
- Hui Li
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Mark J Canet
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - John D Clarke
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Dean Billheimer
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Stavra A Xanthakos
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Joel E Lavine
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Robert P Erickson
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
| | - Nathan J Cherrington
- Department of Pharmacology and Toxicology (H.L., M.J.C., J.D.C., N.J.C.), Department of Epidemiology and Biostatistics (D.B.), and Department of Pediatrics (R.P.E.), University of Arizona, Tucson, Arizona; Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio (S.A.X.); Columbia University, New York, New York (J.E.L.)
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Wiśniowska B, Tylutki Z, Polak S. Humans Vary, So Cardiac Models Should Account for That Too! Front Physiol 2017; 8:700. [PMID: 28983251 PMCID: PMC5613127 DOI: 10.3389/fphys.2017.00700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 08/30/2017] [Indexed: 12/25/2022] Open
Abstract
The utilization of mathematical modeling and simulation in drug development encompasses multiple mathematical techniques and the location of a drug candidate in the development pipeline. Historically speaking they have been used to analyze experimental data (i.e., Hill equation) and clarify the involved physical and chemical processes (i.e., Fick laws and drug molecule diffusion). In recent years the advanced utilization of mathematical modeling has been an important part of the regulatory review process. Physiologically based pharmacokinetic (PBPK) models identify the need to conduct specific clinical studies, suggest specific study designs and propose appropriate labeling language. Their application allows the evaluation of the influence of intrinsic (e.g., age, gender, genetics, disease) and extrinsic [e.g., dosing schedule, drug-drug interactions (DDIs)] factors, alone or in combinations, on drug exposure and therefore provides accurate population assessment. A similar pathway has been taken for the assessment of drug safety with cardiac safety being one the most advanced examples. Mechanistic mathematical model-informed safety evaluation, with a focus on drug potential for causing arrhythmias, is now discussed as an element of the Comprehensive in vitro Proarrhythmia Assay. One of the pillars of this paradigm is the use of an in silico model of the adult human ventricular cardiomyocyte to integrate in vitro measured data. Existing examples (in vitro—in vivo extrapolation with the use of PBPK models) suggest that deterministic, epidemiological and clinical data based variability models can be merged with the mechanistic models describing human physiology. There are other methods available, based on the stochastic approach and on population of models generated by randomly assigning specific parameter values (ionic current conductance and kinetic) and further pruning. Both approaches are briefly characterized in this manuscript, in parallel with the drug-specific variability.
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Affiliation(s)
- Barbara Wiśniowska
- Pharmacoepidemiology and Pharmacoeconomics Unit, Faculty of Pharmacy, Jagiellonian University Medical CollegeKrakow, Poland
| | - Zofia Tylutki
- Pharmacoepidemiology and Pharmacoeconomics Unit, Faculty of Pharmacy, Jagiellonian University Medical CollegeKrakow, Poland
| | - Sebastian Polak
- Pharmacoepidemiology and Pharmacoeconomics Unit, Faculty of Pharmacy, Jagiellonian University Medical CollegeKrakow, Poland.,SimcypCertara, Sheffield, United Kingdom
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25
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Ginsberg G, Vulimiri SV, Lin YS, Kancherla J, Foos B, Sonawane B. A framework and case studies for evaluation of enzyme ontogeny in children's health risk evaluation. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2017; 80:569-593. [PMID: 28891786 PMCID: PMC8018602 DOI: 10.1080/15287394.2017.1369915] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Knowledge of the ontogeny of Phase I and Phase II metabolizing enzymes may be used to inform children's vulnerability based upon likely differences in internal dose from xenobiotic exposure. This might provide a qualitative assessment of toxicokinetic (TK) variability and uncertainty pertinent to early lifestages and help scope a more quantitative physiologically based toxicokinetic (PBTK) assessment. Although much is known regarding the ontogeny of metabolizing systems, this is not commonly utilized in scoping and problem formulation stage of human health risk evaluation. A framework is proposed for introducing this information into problem formulation which combines data on enzyme ontogeny and chemical-specific TK to explore potential child/adult differences in internal dose and whether such metabolic differences may be important factors in risk evaluation. The framework is illustrated with five case study chemicals, including some which are data rich and provide proof of concept, while others are data poor. Case studies for toluene and chlorpyrifos indicate potentially important child/adult TK differences while scoping for acetaminophen suggests enzyme ontogeny is unlikely to increase early-life risks. Scoping for trichloroethylene and aromatic amines indicates numerous ways that enzyme ontogeny may affect internal dose which necessitates further evaluation. PBTK modeling is a critical and feasible next step to further evaluate child-adult differences in internal dose for a number of these chemicals.
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Affiliation(s)
- Gary Ginsberg
- Partnership in Pediatric and Environmental Health, Hartford, CT 06134, USA
| | - Suryanarayana V. Vulimiri
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC 20460, USA
| | - Yu-Sheng Lin
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC 20460, USA
| | - Jayaram Kancherla
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20740, USA
| | - Brenda Foos
- Office of Children’s Health Protection, U.S. Environmental Protection Agency, Washington, DC, USA
| | - Babasaheb Sonawane
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC 20460, USA
- Current Address: 13204 Moran Drive, North Potomac, MD 20878
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26
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Semi-Mechanistic Model for Predicting the Dosing Rate in Children and Neonates for Drugs Mainly Eliminated by Cytochrome Metabolism. Clin Pharmacokinet 2017; 57:831-841. [DOI: 10.1007/s40262-017-0596-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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27
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Rodieux F, Gotta V, Pfister M, van den Anker JN. Causes and Consequences of Variability in Drug Transporter Activity in Pediatric Drug Therapy. J Clin Pharmacol 2017; 56 Suppl 7:S173-92. [PMID: 27385174 DOI: 10.1002/jcph.721] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 01/26/2016] [Accepted: 02/11/2016] [Indexed: 01/06/2023]
Abstract
Drug transporters play a key role in mediating the uptake of endo- and exogenous substances into cells as well as their efflux. Therefore, variability in drug transporter activity can influence pharmaco- and toxicokinetics and be a determinant of drug safety and efficacy. In children, particularly in neonates and young infants, the contribution of tissue-specific drug transporters to drug absorption, distribution, and excretion may differ from that in adults. In this review 5 major factors and their interdependence that may influence drug transporter activity in children are discussed: developmental differences, genetic polymorphisms, pediatric comorbidities, interacting comedication, and environmental factors. Even if data are sparse, altered drug transporter activity due to those factors have been associated with clinically relevant differences in drug disposition, efficacy, and safety in pediatric patients. Single nucleotide polymorphisms in drug transporter-encoding genes were the most studied source of drug transporter variability in children. However, in the age group where drug transporter activity has been reported to differ from that in adults, namely neonates and young infants, hardly any studies have been performed. Longitudinal studies in this young population are required to investigate the age- and disease-dependent genotype-phenotype relationships and relevance of drug transporter drug-drug interactions. Physiologically based pharmacokinetic modeling approaches can integrate drug- and patient-specific parameters, including drug transporter ontogeny, and may further improve in silico predictions of pediatric-specific pharmacokinetics.
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Affiliation(s)
- Frédérique Rodieux
- Pediatric Pharmacology, University of Basel Children's Hospital (UKBB), Basel, Switzerland
| | - Verena Gotta
- Pediatric Pharmacology, University of Basel Children's Hospital (UKBB), Basel, Switzerland
| | - Marc Pfister
- Pediatric Pharmacology, University of Basel Children's Hospital (UKBB), Basel, Switzerland.,Quantitative Solutions/Certara, Menlo Park, CA, USA
| | - Johannes N van den Anker
- Pediatric Pharmacology, University of Basel Children's Hospital (UKBB), Basel, Switzerland.,Division of Pediatric 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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28
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Olafuyi O, Coleman M, Badhan RKS. Development of a paediatric physiologically based pharmacokinetic model to assess the impact of drug-drug interactions in tuberculosis co-infected malaria subjects: A case study with artemether-lumefantrine and the CYP3A4-inducer rifampicin. Eur J Pharm Sci 2017; 106:20-33. [PMID: 28546104 DOI: 10.1016/j.ejps.2017.05.043] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 04/27/2017] [Accepted: 05/20/2017] [Indexed: 12/13/2022]
Abstract
The fixed dosed combination of artemether and lumefantrine (AL) is widely used for the treatment of malaria in adults and children in sub-Sahara Africa, with lumefantrine day 7 concentrations being widely used as a marker for clinical efficacy. Both are substrates for CYP3A4 and susceptible to drug-drug interactions (DDIs); indeed, knowledge of the impact of these factors is currently sparse in paediatric population groups. Confounding malaria treatment is the co-infection of patients with tuberculosis. The concomitant treatment of AL with tuberculosis chemotherapy, which includes the CYP3A4 inducer rifampicin, increases the risk of parasite recrudescence and malaria treatment failure. This study developed a population-based PBPK model for AL in adults capable of predicting the pharmacokinetics of AL under non-DDI and DDI conditions, as well as predicting AL pharmacokinetics in paediatrics of 2-12years of age. The validated model was utilised to assess the concomitant treatment of rifampicin and lumefantrine under standard body-weight based treatment regimens for 2-5year olds, and demonstrated that no subjects attained the target day 7 concentration (Cd7) of 280ng/mL, highlighting the importance of this DDI and the potential risk of malaria-TB based DDIs. An adapted 7-day treatment regimen was simulated and resulted in 63% and 74.5% of subjects attaining the target Cd7 for 1-tablet and 2-tablet regimens respectively.
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Affiliation(s)
- Olusola Olafuyi
- Aston Healthy Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom
| | - Michael Coleman
- Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom
| | - Raj K S Badhan
- Aston Healthy Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom; Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom.
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Vrana M, Whittington D, Nautiyal V, Prasad B. Database of Optimized Proteomic Quantitative Methods for Human Drug Disposition-Related Proteins for Applications in Physiologically Based Pharmacokinetic Modeling. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2017; 6:267-276. [PMID: 28074615 PMCID: PMC5397556 DOI: 10.1002/psp4.12170] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 12/28/2016] [Accepted: 12/29/2016] [Indexed: 12/16/2022]
Abstract
The purpose of this study was to create an open access repository of validated liquid chromatography tandem mass spectrometry (LC‐MS/MS) multiple reaction monitoring (MRM) methods for quantifying 284 important proteins associated with drug absorption, distribution, metabolism, and excretion (ADME). Various in silico and experimental approaches were used to select surrogate peptides and optimize instrument parameters for LC‐MS/MS quantification of the selected proteins. The final methods were uploaded to an online public database (QPrOmics; www.qpromics.uw.edu/qpromics/assay/), which provides essential information for facile method development in triple quadrupole mass spectrometry (MS) instruments. To validate the utility of the methods, the differential tissue expression of 107 key ADME proteins was characterized in the tryptic digests of the pooled subcellular fractions of human liver, kidneys, intestines, and lungs. These methods and the data are critical for development of physiologically based pharmacokinetic (PBPK) models to predict xenobiotic disposition.
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Affiliation(s)
- M Vrana
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
| | - D Whittington
- Medicinal Chemistry, University of Washington, Seattle, Washington, USA
| | - V Nautiyal
- Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India
| | - B Prasad
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
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30
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Prasad B, Vrana M, Mehrotra A, Johnson K, Bhatt DK. The Promises of Quantitative Proteomics in Precision Medicine. J Pharm Sci 2016; 106:738-744. [PMID: 27939376 DOI: 10.1016/j.xphs.2016.11.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 11/07/2016] [Accepted: 11/29/2016] [Indexed: 01/01/2023]
Abstract
Precision medicine approach has a potential to ensure optimum efficacy and safety of drugs at individual patient level. Physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models could play a significant role in precision medicine by predicting interindividual variability in drug disposition and response. In order to develop robust PBPK/PD models, it is imperative that the critical physiological parameters affecting drug disposition and response and their variability are precisely characterized. Currently used PBPK/PD modeling software, for example, Simcyp and Gastroplus, encompass information such as organ volumes, blood flows to organs, body fat composition, glomerular filtration rate, etc. However, the information on the interindividual variability of the majority of the proteins associated with PK and PD, for example, drug metabolizing enzymes, transporters, and receptors, are not fully incorporated into these PBPK modeling platforms. Such information is significant because the population factors such as age, genotype, disease, and gender can affect abundance or activity of these proteins. To fill this critical knowledge gap, mass spectrometry-based quantitative proteomics has emerged as an important technique to characterize interindividual variability in the protein abundance of drug metabolizing enzymes, transporters, and receptors. Integration of these quantitative proteomics data into in silico PBPK/PD modeling tools will be crucial toward precision medicine.
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Affiliation(s)
- Bhagwat Prasad
- Department of Pharmaceutics, University of Washington, Seattle, P.O. Box 357610, Washington 98195.
| | - Marc Vrana
- Department of Pharmaceutics, University of Washington, Seattle, P.O. Box 357610, Washington 98195
| | - Aanchal Mehrotra
- Department of Pharmaceutics, University of Washington, Seattle, P.O. Box 357610, Washington 98195
| | - Katherine Johnson
- Department of Pharmaceutics, University of Washington, Seattle, P.O. Box 357610, Washington 98195
| | - Deepak Kumar Bhatt
- Department of Pharmaceutics, University of Washington, Seattle, P.O. Box 357610, Washington 98195
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31
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Li CY, Cheng SL, Bammler TK, Cui JY. Editor's Highlight: Neonatal Activation of the Xenobiotic-Sensors PXR and CAR Results in Acute and Persistent Down-regulation of PPARα-Signaling in Mouse Liver. Toxicol Sci 2016; 153:282-302. [PMID: 27413110 DOI: 10.1093/toxsci/kfw127] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Safety concerns have emerged regarding the potential long-lasting effects due to developmental exposure to xenobiotics. The pregnane X receptor (PXR) and constitutive androstane receptor (CAR) are critical xenobiotic-sensing nuclear receptors that are highly expressed in liver. The goal of this study was to test our hypothesis that neonatal exposure to PXR- or CAR-activators not only acutely but also persistently regulates the expression of drug-processing genes (DPGs). A single dose of the PXR-ligand PCN (75 mg/kg), CAR-ligand TCPOBOP (3 mg/kg), or vehicle (corn oil) was administered intraperitoneally to 3-day-old neonatal wild-type mice. Livers were collected 24 h post-dose or from adult mice at 60 days of age, and global gene expression of these mice was determined using Affymetrix Mouse Transcriptome Assay 1.0. In neonatal liver, PCN up-regulated 464 and down-regulated 449 genes, whereas TCPOBOP up-regulated 308 and down-regulated 112 genes. In adult liver, there were 15 persistently up-regulated and 22 persistently down-regulated genes following neonatal exposure to PCN, as well as 130 persistently up-regulated and 18 persistently down-regulated genes following neonatal exposure to TCPOBOP. Neonatal exposure to both PCN and TCPOBOP persistently down-regulated multiple Cyp4a members, which are prototypical-target genes of the lipid-sensor PPARα, and this correlated with decreased PPARα-binding to the Cyp4a gene loci. RT-qPCR, western blotting, and enzyme activity assays in livers of wild-type, PXR-null, and CAR-null mice confirmed that the persistent down-regulation of Cyp4a was PXR and CAR dependent. In conclusion, neonatal exposure to PXR- and CAR-activators both acutely and persistently regulates critical genes involved in xenobiotic and lipid metabolism in liver.
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Affiliation(s)
- Cindy Yanfei Li
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105
| | - Sunny Lihua Cheng
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105
| | - Theo K Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105
| | - Julia Yue Cui
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105
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Rasool MF, Khalil F, Läer S. A physiologically based pharmacokinetic drug-disease model to predict carvedilol exposure in adult and paediatric heart failure patients by incorporating pathophysiological changes in hepatic and renal blood flows. Clin Pharmacokinet 2016; 54:943-62. [PMID: 25773479 PMCID: PMC4559583 DOI: 10.1007/s40262-015-0253-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Background and Objective Chronic diseases are associated with pathophysiological changes that could have profound impacts on drug pharmacokinetic behaviour, with a potential need to modify the administered drug therapy. It is important to acknowledge that most patients with chronic illnesses do not have a single, predominant condition but suffer from multiple comorbidities. The rapid advancement in physiologically based pharmacokinetic (PBPK) modelling, as well as the increasing quantitative knowledge of disease-related pathophysiological changes, facilitate building of drug–disease models. However, there are only a few published examples of PBPK models incorporating the pathophysiological changes that occur with chronic diseases. The objective of this study was to develop PBPK models that incorporate the haemodynamic changes in hepatic and renal blood flows occurring in chronic heart failure (CHF) and to evaluate these changes in adults and children, using carvedilol as a model drug. Methods After a comprehensive literature search to select the model input parameters, two PBPK models were developed. Model 1 was based on human liver and intestinal microsome clearances, and model 2 was based on clearance by specific cytochrome P450 enzymes. After evaluation of both models in healthy adults, the reduced hepatic and renal blood flows were incorporated into the developed models to predict carvedilol exposure in the adult CHF population. The adult carvedilol models were scaled down to children by using Simcyp® (Simcyp Ltd, Sheffield, UK). In order to show the impact of reduced organ blood flows on carvedilol disposition, the predictions in the CHF population were made with and without reductions in organ blood flows. Results The predictions made by both models in healthy adults were comparable and within the 2-fold error range. In adults with CHF, the mean observed/predicted ratio [ratio(Obs/Pred)] for oral clearance (CL/F) without reductions in organ blood flows was outside the 2-fold error range, i.e. 0.34 (95 % confidence interval [CI] 0.31–0.37), with use of both models. The mean CL/F ratio(Obs/Pred) values after incorporation of reduced organ blood flows were 1.0 (95 % CI 0.92–1.08) and 0.95 (95 % CI 0.88–1.03) with use of models 1 and 2, respectively. The mean ratio(Obs/Pred) values for the pharmacokinetic parameters were not improved after incorporation of reduced blood flows in paediatric patients, except in those above 17 years of age, who were categorized according to the New York Heart Association classification of CHF, where the CL/F ratio(Obs/Pred) values in two patients were closer to unity. Conclusion There was a strong connection between a decrease in hepatic clearance of carvedilol and an increase in the severity of CHF, especially in adults and in paediatric patients above 17 years of age. The incorporated reductions in hepatic and renal blood flows occurring in moderate and severe CHF patients resulted in improved predictions of carvedilol exposure. The developed models can be extended to predict exposures of drugs with high hepatic extraction in the CHF population. Electronic supplementary material The online version of this article (doi:10.1007/s40262-015-0253-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Muhammad Fawad Rasool
- Department of Clinical Pharmacy and Pharmacotherapy, Heinrich-Heine University, 40225, Düsseldorf, Germany,
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Rasool MF, Khalil F, Laer S. Predicting Stereoselective Disposition of Carvedilol in Adult and Pediatric Chronic Heart Failure Patients by Incorporating Pathophysiological Changes in Organ Blood Flows-A Physiologically Based Pharmacokinetic Approach. Drug Metab Dispos 2016; 44:1103-15. [DOI: 10.1124/dmd.115.068858] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 04/07/2016] [Indexed: 11/22/2022] Open
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Rioux N, Waters NJ. Physiologically Based Pharmacokinetic Modeling in Pediatric Oncology Drug Development. Drug Metab Dispos 2016; 44:934-43. [DOI: 10.1124/dmd.115.068031] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 03/01/2016] [Indexed: 12/23/2022] Open
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Johnson TN, Jamei M, Rowland-Yeo K. How Does In Vivo Biliary Elimination of Drugs Change with Age? Evidence from In Vitro and Clinical Data Using a Systems Pharmacology Approach. Drug Metab Dispos 2016; 44:1090-8. [DOI: 10.1124/dmd.115.068643] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 02/08/2016] [Indexed: 01/05/2023] Open
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Elmorsi Y, Barber J, Rostami-Hodjegan A. Ontogeny of Hepatic Drug Transporters and Relevance to Drugs Used in Pediatrics. Drug Metab Dispos 2015; 44:992-8. [DOI: 10.1124/dmd.115.067801] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 12/23/2015] [Indexed: 12/13/2022] Open
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Brouwer KLR, Aleksunes LM, Brandys B, Giacoia GP, Knipp G, Lukacova V, Meibohm B, Nigam SK, Rieder M, de Wildt SN. Human Ontogeny of Drug Transporters: Review and Recommendations of the Pediatric Transporter Working Group. Clin Pharmacol Ther 2015; 98:266-87. [PMID: 26088472 DOI: 10.1002/cpt.176] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 06/15/2015] [Accepted: 06/15/2015] [Indexed: 12/19/2022]
Abstract
The critical importance of membrane-bound transporters in pharmacotherapy is widely recognized, but little is known about drug transporter activity in children. In this white paper, the Pediatric Transporter Working Group presents a systematic review of the ontogeny of clinically relevant membrane transporters (e.g., SLC, ABC superfamilies) in intestine, liver, and kidney. Different developmental patterns for individual transporters emerge, but much remains unknown. Recommendations to increase our understanding of membrane transporters in pediatric pharmacotherapy are presented.
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Affiliation(s)
- K L R Brouwer
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - L M Aleksunes
- Department of Pharmacology and Toxicology, Rutgers, the State University of New Jersey, Ernest Mario School of Pharmacy, Piscataway, New Jersey, USA
| | - B Brandys
- NIH Library, National Institutes of Health, Bethesda, Maryland, USA
| | - G P Giacoia
- Obstetric and Pediatric Pharmacology and Therapeutics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, Maryland, USA
| | - G Knipp
- College of Pharmacy, Department of Industrial and Physical Pharmacy, Purdue University, West Lafayette, Indiana, USA
| | - V Lukacova
- Simulations Plus, lnc., Lancaster, California, USA
| | - B Meibohm
- University of Tennessee Health Science Center, College of Pharmacy, Memphis, Tennessee, USA
| | - S K Nigam
- University of California San Diego, La Jolla, California, USA
| | - M Rieder
- Department of Pediatrics, University of Western Ontario, London, Ontario, Canada
| | - S N de Wildt
- Erasmus MC Sophia Children's Hospital, Intensive Care and Department of Pediatric Surgery, Rotterdam, the Netherlands
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T'jollyn H, Snoeys J, Vermeulen A, Michelet R, Cuyckens F, Mannens G, Van Peer A, Annaert P, Allegaert K, Van Bocxlaer J, Boussery K. Physiologically Based Pharmacokinetic Predictions of Tramadol Exposure Throughout Pediatric Life: an Analysis of the Different Clearance Contributors with Emphasis on CYP2D6 Maturation. AAPS JOURNAL 2015. [PMID: 26209290 DOI: 10.1208/s12248-015-9803-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
This paper focuses on the retrospective evaluation of physiologically based pharmacokinetic (PBPK) techniques used to mechanistically predict clearance throughout pediatric life. An intravenous tramadol retrograde PBPK model was set up in Simcyp® using adult clearance values, qualified for CYP2D6, CYP3A4, CYP2B6, and renal contributions. Subsequently, the model was evaluated for mechanistic prediction of total, CYP2D6-related, and renal clearance predictions in very early life. In two in vitro pediatric human liver microsomal (HLM) batches (1 and 3 months), O-desmethyltramadol and N-desmethyltramadol formation rates were compared with CYP2D6 and CYP3A4 activity, respectively. O-desmethyltramadol formation was mediated only by CYP2D6, while N-desmethyltramadol was mediated in part by CYP3A4. Additionally, the clearance maturation of the PBPK model predictions was compared to two in vivo maturation models (Hill and exponential) based on plasma concentration data, and to clearance estimations from a WinNonlin® fit of plasma concentration and urinary excretion data. Maturation of renal and CYP2D6 clearance is captured well in the PBPK model predictions, but total tramadol clearance is underpredicted. The most pronounced underprediction of total and CYP2D6-mediated clearance was observed in the age range of 2-13 years. In conclusion, the PBPK technique showed to be a powerful mechanistic tool capable of predicting maturation of CYP2D6 and renal tramadol clearance in early infancy, although some underprediction occurs between 2 and 13 years for total and CYP2D6-mediated tramadol clearance.
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Affiliation(s)
- Huybrecht T'jollyn
- Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium.
| | - Jan Snoeys
- Janssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium
| | - An Vermeulen
- Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium
| | - Robin Michelet
- Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium
| | - Filip Cuyckens
- Janssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium
| | - Geert Mannens
- Janssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium
| | - Achiel Van Peer
- Janssen Research & Development, Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, B-2340, Beerse, Belgium
| | - Pieter Annaert
- Drug Delivery & Disposition, KU Leuven Department of Pharmaceutical and Pharmacological Sciences, O&N2, Herestraat, 49-box 921, B-3000, Leuven, Belgium
| | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven and Neonatal Intensive Care Unit, University Hospitals Leuven, B-3000, Leuven, Belgium
| | - Jan Van Bocxlaer
- Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium
| | - Koen Boussery
- Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000, Ghent, Belgium
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Zane NR, Thakker DR. Response to: "Prediction of Voriconazole Non-Linear Pharmacokinetics Using a Paediatric Physiologically Based Pharmacokinetic Modelling Approach". Clin Pharmacokinet 2015; 54:569-72. [PMID: 25735635 DOI: 10.1007/s40262-015-0254-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Nicole R Zane
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy at The University of North Carolina at Chapel Hill, 301 Pharmacy Lane, Chapel Hill, NC, 27599, USA,
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Ogungbenro K, Aarons L. Physiologically based pharmacokinetic model for 6-mercpatopurine: exploring the role of genetic polymorphism in TPMT enzyme activity. Br J Clin Pharmacol 2015; 80:86-100. [PMID: 25614061 PMCID: PMC4500328 DOI: 10.1111/bcp.12588] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Revised: 12/12/2014] [Accepted: 01/05/2015] [Indexed: 12/18/2022] Open
Abstract
AIMS To extend the physiologically based pharmacokinetic (PBPK) model developed for 6-mercaptopurine to account for intracellular metabolism and to explore the role of genetic polymorphism in the TPMT enzyme on the pharmacokinetics of 6-mercaptopurine. METHODS The developed PBPK model was extended for 6-mercaptopurine to account for intracellular metabolism and genetic polymorphism in TPMT activity. System and drug specific parameters were obtained from the literature or estimated using plasma or intracellular red blood cell concentrations of 6-mercaptopurine and its metabolites. Age-dependent changes in parameters were implemented for scaling, and variability was also introduced for simulation. The model was validated using published data. RESULTS The model was extended successfully. Parameter estimation and model predictions were satisfactory. Prediction of intracellular red blood cell concentrations of 6-thioguanine nucleotide for different TPMT phenotypes (in a clinical study that compared conventional and individualized dosing) showed results that were consistent with observed values and reported incidence of haematopoietic toxicity. Following conventional dosing, the predicted mean concentrations for homozygous and heterozygous variants, respectively, were about 10 times and two times the levels for wild-type. However, following individualized dosing, the mean concentration was around the same level for the three phenotypes despite different doses. CONCLUSIONS The developed PBPK model has been extended for 6-mercaptopurine and can be used to predict plasma 6-mercaptopurine and tissue concentration of 6-mercaptopurine, 6-thioguanine nucleotide and 6-methylmercaptopurine ribonucleotide in adults and children. Predictions of reported data from clinical studies showed satisfactory results. The model may help to improve 6-mercaptopurine dosing, achieve better clinical outcome and reduce toxicity.
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Affiliation(s)
- Kayode Ogungbenro
- Centre for Applied Pharmacokinetics Research, Manchester Pharmacy School, The University of ManchesterOxford Road, Manchester, M13 9PT, United Kingdom
| | - Leon Aarons
- Centre for Applied Pharmacokinetics Research, Manchester Pharmacy School, The University of ManchesterOxford Road, Manchester, M13 9PT, United Kingdom
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Moss DM, Marzolini C, Rajoli RKR, Siccardi M. Applications of physiologically based pharmacokinetic modeling for the optimization of anti-infective therapies. Expert Opin Drug Metab Toxicol 2015; 11:1203-17. [PMID: 25872900 DOI: 10.1517/17425255.2015.1037278] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The pharmacokinetic properties of anti-infective drugs are a determinant part of treatment success. Pathogen replication is inhibited if adequate drug levels are achieved in target sites, whereas excessive drug concentrations linked to toxicity are to be avoided. Anti-infective distribution can be predicted by integrating in vitro drug properties and mathematical descriptions of human anatomy in physiologically based pharmacokinetic models. This method reduces the need for animal and human studies and is used increasingly in drug development and simulation of clinical scenario such as, for instance, drug-drug interactions, dose optimization, novel formulations and pharmacokinetics in special populations. AREAS COVERED We have assessed the relevance of physiologically based pharmacokinetic modeling in the anti-infective research field, giving an overview of mechanisms involved in model design and have suggested strategies for future applications of physiologically based pharmacokinetic models. EXPERT OPINION Physiologically based pharmacokinetic modeling provides a powerful tool in anti-infective optimization, and there is now no doubt that both industry and regulatory bodies have recognized the importance of this technology. It should be acknowledged, however, that major challenges remain to be addressed and that information detailing disease group physiology and anti-infective pharmacodynamics is required if a personalized medicine approach is to be achieved.
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Affiliation(s)
- Darren Michael Moss
- University of Liverpool, Institute of Translational Medicine, Molecular and Clinical Pharmacology , Liverpool , UK +44 0 151 794 8211 ; +44 0 151 794 5656 ;
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Bernard E, Goutelle S, Bertrand Y, Bleyzac N. Pharmacokinetic drug-drug interaction of calcium channel blockers with cyclosporine in hematopoietic stem cell transplant children. Ann Pharmacother 2014; 48:1580-4. [PMID: 25280976 DOI: 10.1177/1060028014550644] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Cyclosporine (CsA) is frequently responsible for hypertension in bone marrow transplant children. Calcium channel blockers (CCBs) are considered to be the best treatment for CsA-induced hypertension, but they may alter the exposure and the effect of CsA by inhibiting the CYP3A4 pathway of CsA metabolism or P-gp. However, the inhibitory effect on CYP3A4 may vary among CCBs. METHODS This study aimed to quantify the pharmacokinetic drug-drug interaction between CsA and nicardipine, amlodipine, and lacidipine. In all, 51 children who received CsA and CCB concomitantly were included. RESULTS Dose-normalized CsA trough blood concentrations significantly increased in patients treated with nicardipine and amlodipine, whereas they remained stable in patients treated with lacidipine. CONCLUSIONS Because lacidipine appears to have no effect on CsA exposure, it may be the best option among CCBs for treating high blood pressure caused by CsA in children.
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Affiliation(s)
- Elodie Bernard
- Institut d'Hématologie et d'Oncologie Pédiatrique, Lyon, France
| | - Sylvain Goutelle
- Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, Villeurbanne, France
| | - Yves Bertrand
- Institut d'Hématologie et d'Oncologie Pédiatrique, Lyon, France
| | - Nathalie Bleyzac
- Institut d'Hématologie et d'Oncologie Pédiatrique, Lyon, France Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, Villeurbanne, France
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Ogungbenro K, Aarons L. A physiologically based pharmacokinetic model for Valproic acid in adults and children. Eur J Pharm Sci 2014; 63:45-52. [DOI: 10.1016/j.ejps.2014.06.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Revised: 05/22/2014] [Accepted: 06/29/2014] [Indexed: 01/24/2023]
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A Physiologically Based Pharmacokinetic Model for Clobazam and Stiripentol in Adults and Children. Pharm Res 2014; 32:144-57. [DOI: 10.1007/s11095-014-1451-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 07/02/2014] [Indexed: 12/21/2022]
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Abstract
INTRODUCTION Extensive within-population variability is the essence of neonatal pharmacology. Despite this, infants remain one of the last therapeutic orphans. Together with additional legal initiatives, tailoring of already available tools (modeling, covariates, pharmacovigilance) may significantly improve pharmacotherapy in infants. AREAS COVERED Modeling approaches that hold the promise to improve pharmacotherapy in infants are between-compound extrapolation for compounds that undergo the same route of elimination and integration of time-varying physiology to adapt for the fast maturational changes. Besides these maturational covariates (size, age), newly emerging covariates relate to novel treatment modalities (extracorporeal circulation, hypothermia), environmental issues (microbiome, critical illness) or pharmacogenetics. All these covariates interact with the maturational variation. Finally, pharmacovigilance also needs to be tailored to the characteristics of this population. This relates to preventive strategies, signal detection and assessment of causality. EXPERT OPINION Knowledge on pharmacotherapy in infants is lagging. Tailoring available tools to the specific characteristics (maturation) and clinical needs (newly emerging covariates) of infants is feasible but needs creativity and a multidisciplinary collaboration between modelers, academia, clinical researchers and, obviously, the public, including parents.
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Affiliation(s)
- Karel Allegaert
- University Hospitals Leuven, Neonatal Intensive Care Unit , Herestraat 49, 3000 Leuven , Belgium +32 16 343850 ; +32 16 343209 ;
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Abduljalil K, Jamei M, Rostami-Hodjegan A, Johnson TN. Changes in individual drug-independent system parameters during virtual paediatric pharmacokinetic trials: introducing time-varying physiology into a paediatric PBPK model. AAPS JOURNAL 2014; 16:568-76. [PMID: 24700271 DOI: 10.1208/s12248-014-9592-9] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Accepted: 03/19/2014] [Indexed: 11/30/2022]
Abstract
Although both POPPK and physiologically based pharmacokinetic (PBPK) models can account for age and other covariates within a paediatric population, they generally do not account for real-time growth and maturation of the individuals through the time course of drug exposure; this may be significant in prolonged neonatal studies. The major objective of this study was to introduce age progression into a paediatric PBPK model, to allow for continuous updating of anatomical, physiological and biological processes in each individual subject over time. The Simcyp paediatric PBPK model simulator system parameters were reanalysed to assess the impact of re-defining the individual over the study period. A schedule for re-defining parameters within the Simcyp paediatric simulator, for each subject, over a prolonged study period, was devised to allow seamless prediction of pharmacokinetics (PK). The model was applied to predict concentration-time data from multiday studies on sildenafil and phenytoin performed in neonates. Among PBPK system parameters, CYP3A4 abundance was one of the fastest changing covariates and a 1-h re-sampling schedule was needed for babies below age 3.5 days in order to seamlessly predict PK (<5% change in abundance) with subject maturation. The re-sampling frequency decreased as age increased, reaching biweekly by 6 months of age. The PK of both sildenafil and phenytoin were predicted better at the end of a prolonged study period using the time varying vs fixed PBPK models. Paediatric PBPK models which account for time-varying system parameters during prolonged studies may provide more mechanistic PK predictions in neonates and infants.
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Affiliation(s)
- Khaled Abduljalil
- Simcyp Ltd (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK
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Vear SI, Ayers GD, Van Driest SL, Sidonio RF, Stein CM, Ho RH. The impact of age and CYP2C9 and VKORC1 variants on stable warfarin dose in the paediatric population. Br J Haematol 2014; 165:832-5. [PMID: 24601977 DOI: 10.1111/bjh.12817] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Accepted: 01/22/2014] [Indexed: 11/30/2022]
Abstract
The influence of genetic variation on warfarin dose requirement is limited for paediatric patients. We performed a retrospective, cross-sectional study to examine the effect of variant CYP2C9 and VKORC1 genotypes on warfarin dose in 100 children. Those with VKORC1 genotype AA required 48% of the dose of homozygous wild-type (GG, P < 0·0001). Patients with any variant CYP2C9 allele required 71% of the dose for wild-type (P = 0·001). The effect of variant VKORC1 alleles tended to vary with age, suggesting developmental ontogeny may influence warfarin sensitivity. Age, CYP2C9 genotype, VKORC1 genotype and age:VKORC1 interaction accounted for 53% of warfarin dose variability.
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Affiliation(s)
- Susan I Vear
- Department of Pediatrics, Monroe Carell Jr Children's Hospital at Vanderbilt, Nashville, TN, USA
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Abstract
Drug therapy is a powerful tool for improving neonatal outcome. Despite this, neonatologists still routinely prescribe off-label compounds developed for adults and extrapolate doses from those used for children or adults. Knowledge integration through pharmacokinetic modeling is a method that could improve the current situation. Such predictive models may convert neonatal pharmacotherapy from explorative to confirmatory. This can be illustrated by research projects related to the prediction of neonatal renal clearance and neonatal glucuronidation. This type of model will also improve the current knowledge of neonatal (patho)physiology. In the meanwhile, the fields of clinical pharmacology (e.g. pharmacokinetic/pharmacodynamic modeling and pharmacogenetics) and neonatology (e.g. whole-body cooling and the lower limit of viability) have both matured, resulting in new research topics. However, in order for the modeling and the newly emerging topics to become effective tools, they need to be tailored to the specific characteristics of neonates. Consequently, the field of neonatal pharmacotherapy needs dedicated neonatologists who continue to raise the awareness that off-label practices, eminence-based dosing regimens and the absence of neonatal drug formulations all reflect suboptimal care.
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Affiliation(s)
- Karel Allegaert
- Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
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