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Zhang W, Zhang Q, Cao Z, Zheng L, Hu W. Physiologically Based Pharmacokinetic Modeling in Neonates: Current Status and Future Perspectives. Pharmaceutics 2023; 15:2765. [PMID: 38140105 PMCID: PMC10747965 DOI: 10.3390/pharmaceutics15122765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/07/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023] Open
Abstract
Rational drug use in special populations is a clinical problem that doctors and pharma-cists must consider seriously. Neonates are the most physiologically immature and vulnerable to drug dosing. There is a pronounced difference in the anatomical and physiological profiles be-tween neonates and older people, affecting the absorption, distribution, metabolism, and excretion of drugs in vivo, ultimately leading to changes in drug concentration. Thus, dose adjustments in neonates are necessary to achieve adequate therapeutic concentrations and avoid drug toxicity. Over the past few decades, modeling and simulation techniques, especially physiologically based pharmacokinetic (PBPK) modeling, have been increasingly used in pediatric drug development and clinical therapy. This rigorously designed and verified model can effectively compensate for the deficiencies of clinical trials in neonates, provide a valuable reference for clinical research design, and even replace some clinical trials to predict drug plasma concentrations in newborns. This review introduces previous findings regarding age-dependent physiological changes and pathological factors affecting neonatal pharmacokinetics, along with their research means. The application of PBPK modeling in neonatal pharmacokinetic studies of various medications is also reviewed. Based on this, we propose future perspectives on neonatal PBPK modeling and hope for its broader application.
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Affiliation(s)
| | | | | | - Liang Zheng
- Department of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; (W.Z.); (Q.Z.); (Z.C.)
| | - Wei Hu
- Department of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; (W.Z.); (Q.Z.); (Z.C.)
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Leys K, Stroe MS, Annaert P, Van Cruchten S, Carpentier S, Allegaert K, Smits A. Pharmacokinetics during therapeutic hypothermia in neonates: from pathophysiology to translational knowledge and physiologically-based pharmacokinetic (PBPK) modeling. Expert Opin Drug Metab Toxicol 2023; 19:461-477. [PMID: 37470686 DOI: 10.1080/17425255.2023.2237412] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/13/2023] [Accepted: 07/13/2023] [Indexed: 07/21/2023]
Abstract
INTRODUCTION Perinatal asphyxia (PA) still causes significant morbidity and mortality. Therapeutic hypothermia (TH) is the only effective therapy for neonates with moderate to severe hypoxic-ischemic encephalopathy after PA. These neonates need additional pharmacotherapy, and both PA and TH may impact physiology and, consequently, pharmacokinetics (PK) and pharmacodynamics (PD). AREAS COVERED This review provides an overview of the available knowledge in PubMed (until November 2022) on the pathophysiology of neonates with PA/TH. In vivo pig models for this setting enable distinguishing the effect of PA versus TH on PK and translating this effect to human neonates. Available asphyxia pig models and methodological considerations are described. A summary of human neonatal PK of supportive pharmacotherapy to improve neurodevelopmental outcomes is provided. EXPERT OPINION To support drug development for this population, knowledge from clinical observations (PK data, real-world data on physiology), preclinical (in vitro and in vivo (minipig)) data, and molecular and cellular biology insights can be integrated into a predictive physiologically-based PK (PBPK) framework, as illustrated by the I-PREDICT project (Innovative physiology-based pharmacokinetic model to predict drug exposure in neonates undergoing cooling therapy). Current knowledge, challenges, and expert opinion on the future directions of this research topic are provided.
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Affiliation(s)
- Karen Leys
- Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences KU Leuven, Leuven, Belgium
| | - Marina-Stefania Stroe
- Comparative Perinatal Development, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Pieter Annaert
- Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences KU Leuven, Leuven, Belgium
- BioNotus GCV, Niel, Belgium
| | - Steven Van Cruchten
- Comparative Perinatal Development, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
- Department of Hospital Pharmacy, Erasmus MC, GA, Rotterdam, The Netherlands
- Child and Youth Institute, KU Leuven, Leuven, Belgium
| | - Anne Smits
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Child and Youth Institute, KU Leuven, Leuven, Belgium
- Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
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Khan D, Badhan R, Kirby DJ, Bryson S, Shah M, Mohammed AR. Virtual Clinical Trials Guided Design of an Age-Appropriate Formulation and Dosing Strategy of Nifedipine for Paediatric Use. Pharmaceutics 2023; 15:pharmaceutics15020556. [PMID: 36839878 PMCID: PMC9961156 DOI: 10.3390/pharmaceutics15020556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/13/2023] [Accepted: 01/28/2023] [Indexed: 02/11/2023] Open
Abstract
The rapid onset of action of nifedipine causes a precipitous reduction in blood pressure leading to adverse effects associated with reflex sympathetic nervous system (SNS) activation, including tachycardia and worsening myocardial and cerebrovascular ischemia. As a result, short acting nifedipine preparations are not recommended. However, importantly, there are no modified release preparations of nifedipine authorised for paediatric use, and hence a paucity of clinical studies reporting pharmacokinetics data in paediatrics. Pharmacokinetic parameters may differ significantly between children and adults due to anatomical and physiological differences, often resulting in sub therapeutic and/or toxic plasma concentrations of medication. However, in the field of paediatric pharmacokinetics, the use of pharmacokinetic modelling, particularly physiological-based pharmacokinetics (PBPK), has revolutionised the ability to extrapolate drug pharmacokinetics across age groups, allowing for pragmatic determination of paediatric plasma concentrations to support drug licensing and clinical dosing. In order to pragmatically assess the translation of resultant dissolution profiles to the paediatric populations, virtual clinical trials simulations were conducted. In the context of formulation development, the use of PBPK modelling allowed the determination of optimised formulations that achieved plasma concentrations within the target therapeutic window throughout the dosing strategy. A 5 mg sustained release mini-tablet was successfully developed with the duration of release extending over 24 h and an informed optimised dosing strategy of 450 µg/kg twice daily. The resulting formulation provides flexible dosing opportunities, improves patient adherence by reducing frequent administration burden and enhances patient safety profiles by maintaining efficacious levels of consistent drug plasma levels over a sustained period of time.
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Affiliation(s)
- Dilawar Khan
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
| | - Raj Badhan
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
| | - Daniel J. Kirby
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
| | - Simon Bryson
- Proveca Ltd., No. 1 Spinningfields, Quay Street, Manchester M3 3JE, UK
| | - Maryam Shah
- Proveca Ltd., No. 1 Spinningfields, Quay Street, Manchester M3 3JE, UK
| | - Afzal Rahman Mohammed
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
- Correspondence:
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The Application of Virtual Therapeutic Drug Monitoring to Assess the Pharmacokinetics of Imatinib in a Chinese Cancer Population Group. J Pharm Sci 2023; 112:599-609. [PMID: 36202248 DOI: 10.1016/j.xphs.2022.09.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE Imatinib is used in gastrointestinal stromal tumours (GIST) and chronic myeloid leukaemia (CML). Oncology patients demonstrate altered physiology compared to healthy adults, e.g. reduced haematocrit, increased α-1 acid glycoprotein, decreased albumin and reduced glomerular filtration rate (GFR), which may influence imatinib pharmacokinetics. Given that Chinese cancer patients often report raised imatinib plasma concentrations and wider inter-individual variability reported in trough concentration when compared to Caucasian cancer patients, therapeutic drug monitoring (TDM) has been advocated. METHOD This study utilised a previously validated a Chinese cancer population and assessed the impact of imatinib virtual-TDM in Chinese and Caucasian cancer populations across a dosing range from 200-800 mg daily. RESULTS Staged dose titration to 800 mg daily, resulted in recapitulation to within the target therapeutic range for 50 % (Chinese) and 42.1% (Caucasian) subjects possessing plasma concentration < 550 ng/mL when dosed at 400 mg daily. For subjects with plasma concentrations >1500 ng/mL when dosed at 400 mg daily, a dose reduction to 200 mg once daily was able to recover 67 % (Chinese) and 87.4 % (Caucasian) patients to the target therapeutic range. CONCLUSION Virtual TDM highlights the benefit of pharmacokinetic modelling to optimising treatments in challenging oncology population groups.
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Burhanuddin K, Badhan R. Optimising Fluvoxamine Maternal/Fetal Exposure during Gestation: A Pharmacokinetic Virtual Clinical Trials Study. Metabolites 2022; 12:metabo12121281. [PMID: 36557319 PMCID: PMC9782298 DOI: 10.3390/metabo12121281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
Fluvoxamine plasma concentrations have been shown to decrease throughout pregnancy. CYP2D6 polymorphisms significantly influence these changes. However, knowledge of an optimum dose adjustment according to the CYP2D6 phenotype is still limited. This study implemented a physiologically based pharmacokinetic modelling approach to assess the gestational changes in fluvoxamine maternal and umbilical cord concentrations. The optimal dosing strategies during pregnancy were simulated, and the impact of CYP2D6 phenotypes on fluvoxamine maternal and fetal concentrations was considered. A significant decrease in fluvoxamine maternal plasma concentrations was noted during gestation. As for the fetal concentration, a substantial increase was noted for the poor metabolisers (PM), with a constant level in the ultrarapid (UM) and extensive (EM) metabolisers commencing from gestation week 20 to term. The optimum dosing regimen suggested for UM and EM reached a maximum dose of 300 mg daily at gestational weeks (GW) 15 and 35, respectively. In contrast, a stable dose of 100 mg daily throughout gestation for the PM is sufficient to maintain the fluvoxamine plasma concentration within the therapeutic window (60-230 ng/mL). Dose adjustment during pregnancy is required for fluvoxamine, particularly for UM and EM, to maintain efficacy throughout the gestational period.
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The Impact of Low Cardiac Output on Propofol Pharmacokinetics across Age Groups-An Investigation Using Physiologically Based Pharmacokinetic Modelling. Pharmaceutics 2022; 14:pharmaceutics14091957. [PMID: 36145705 PMCID: PMC9502676 DOI: 10.3390/pharmaceutics14091957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/09/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND pathophysiological changes such as low cardiac output (LCO) impact pharmacokinetics, but its extent may be different throughout pediatrics compared to adults. Physiologically based pharmacokinetic (PBPK) modelling enables further exploration. METHODS A validated propofol model was used to simulate the impact of LCO on propofol clearance across age groups using the PBPK platform, Simcyp® (version 19). The hepatic and renal extraction ratio of propofol was then determined in all age groups. Subsequently, manual infusion dose explorations were conducted under LCO conditions, targeting a 3 µg/mL (80-125%) propofol concentration range. RESULTS Both hepatic and renal extraction ratios increased from neonates, infants, children to adolescents and adults. The relative change in clearance following CO reductions increased with age, with the least impact of LCO in neonates. The predicted concentration remained within the 3 µg/mL (80-125%) range under normal CO and LCO (up to 30%) conditions in all age groups. When CO was reduced by 40-50%, a dose reduction of 15% is warranted in neonates, infants and children, and 25% in adolescents and adults. CONCLUSIONS PBPK-driven, the impact of reduced CO on propofol clearance is predicted to be age-dependent, and proportionally greater in adults. Consequently, age group-specific dose reductions for propofol are required in LCO conditions.
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Xiao J, Shi J, Thompson BR, Smith DE, Zhang T, Zhu HJ. Physiologically-Based Pharmacokinetic Modeling to Predict Methylphenidate Exposure Affected by Interplay Among Carboxylesterase 1 Pharmacogenetics, Drug-Drug Interactions, and Sex. J Pharm Sci 2022; 111:2606-2613. [PMID: 35526575 PMCID: PMC9391289 DOI: 10.1016/j.xphs.2022.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND OBJECTIVE The pharmacokinetics (PK) of methylphenidate (MPH) differ significantly among individuals. Carboxylesterase 1 (CES1) is the primary enzyme metabolizing MPH, and its function is affected by genetic variants, drug-drug interaction (DDI), and sex. The object of this study is to evaluate CES1 pharmacogenetics as related to MPH metabolism using human liver samples and develop a physiologically-based pharmacokinetic (PBPK) modeling approach to investigate the influence of CES1 genotypes and other factors on MPH PK. METHODS The effect of the CES1 variant G143E (rs71647871) on MPH metabolism was studied utilizing 102 individual human liver S9 (HLS9) fraction samples. PBPK models were developed using the population-based PBPK software PK-Sim® by incorporating the HLS9 incubation data. The established models were applied to simulate MPH PK profiles under various clinical scenarios, including different genotypes, drug-alcohol interactions, and the difference between males and females. RESULTS The HLS9 incubation study showed that subjects heterozygous for the CES1 variant G143E metabolized MPH at a rate of approximately 50% of that in non-carriers. The developed PBPK models successfully predicted the exposure alteration of MPH from the G143E genetic variant, ethanol-MPH DDI, and sex. Importantly, the study suggests that male G143E carriers who are alcohol consumers are at a higher risk of MPH overexposure. CONCLUSION PBPK modeling provides a means for better understanding the mechanisms underlying interindividual variability in MPH PK and PD and could be utilized to develop a safer and more effective MPH pharmacotherapy regimen.
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Affiliation(s)
- Jingcheng Xiao
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Jian Shi
- Alliance Pharma, Inc, Malvern, PA, 19355, United States
| | - Brian R Thompson
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States
| | - David E Smith
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Tao Zhang
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, 13902, United States
| | - Hao-Jie Zhu
- Department of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109, United States.
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Medeiros JJS, Costa TM, Carmo MP, Nascimento DD, Lauro ENC, Oliveira CA, Duque MD, Prado LD. Efficient drug development of oseltamivir capsules based on process control, bioequivalence and PBPK modeling. Drug Dev Ind Pharm 2022; 48:146-157. [DOI: 10.1080/03639045.2022.2102647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Juliana J. S. Medeiros
- Coordenação de Desenvolvimento Tecnológico, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Thiago M. Costa
- Laboratório de Tecnologia Farmacêutica, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Mariana P. Carmo
- Laboratório de Tecnologia Farmacêutica, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Diogo D. Nascimento
- Laboratório de Desenvolvimento e Validação Analítica, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Eduardo N. C. Lauro
- Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Departamento de Ciências Farmacêuticas, Universidade Federal de São Paulo, Diadema, Brazil
| | - Camila A. Oliveira
- Laboratório de Desenvolvimento e Validação Analítica, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Marcelo D. Duque
- Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Departamento de Ciências Farmacêuticas, Universidade Federal de São Paulo, Diadema, Brazil
| | - Livia D. Prado
- Laboratório de Desenvolvimento e Validação Analítica, Instituto de Tecnologia em Farmacos, Farmanguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
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Ochi M, Kinoshita K, Yamaguchi JI, Endo H. Bottom-up physiologically based pharmacokinetic modeling for predicting the human pharmacokinetic profiles of the ester prodrug MGS0274 and its active metabolite MGS0008, a metabotropic glutamate 2/3 receptor agonist. Xenobiotica 2022; 52:119-128. [PMID: 35296225 DOI: 10.1080/00498254.2022.2053894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
1. For ester prodrugs that are used to improve the gastrointestinal absorption of highly hydrophilic, pharmacologically active substances, it is challenging to predict the human pharmacokinetics (PK) of the prodrugs and their parent compounds using only preclinical data.2. This research was aimed at constructing a PBPK model for predicting the human PK of the ester prodrug MGS0274 and its parent compound MGS0008 after a single oral administration of MGS0274 besylate.3. First, we identified carboxylesterase 1 (CES1) as the major enzyme involved in the hydrolysis of MGS0274. Second, we constructed a new compartment model to estimate the passive diffusion clearance (CLpd) of MGS0008, a critical parameter for predicting the PK of highly hydrophilic compounds, based on in vivo monkey PK data. Finally, we constructed a permeability-limited liver PBPK model incorporating the CLpd assumed to be the same in humans.4. We confirmed that our method reliably predicted the human PK and that the estimated CLpd was comparable to that calculated retrospectively using the PBPK model, suggesting that the methodology for estimating the CLpd was valid.5. Our proposed methodology is expected to be helpful for human PK prediction of ester prodrugs hydrolyzed by CES1 and their hydrophilic parent compounds even during the preclinical phase.
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Affiliation(s)
- Motoki Ochi
- Drug Metabolism and Pharmacokinetics, Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Kohnosuke Kinoshita
- Drug Metabolism and Pharmacokinetics, Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Jun-Ichi Yamaguchi
- Drug Metabolism and Pharmacokinetics, Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Hiromi Endo
- Drug Metabolism and Pharmacokinetics, Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
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Cho YS, Shin JG. Physiologically-based pharmacokinetic modeling of nafamostat to support dose selection for treatment of pediatric patients with COVID-19. Transl Clin Pharmacol 2022; 30:24-36. [PMID: 35419314 PMCID: PMC8979760 DOI: 10.12793/tcp.2022.30.e4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 02/14/2022] [Accepted: 02/25/2022] [Indexed: 12/15/2022] Open
Abstract
Pediatric patients with coronavirus disease 2019 (COVID-19) are increasing, and severe cases such as multisystem inflammatory syndrome are being reported. Nafamostat, a repurposing drug, is currently being explored for the treatment of COVID-19 in adults. However, the data supporting its exposure in pediatrics remains scarce. Physiologically-based pharmacokinetic (PBPK) modeling enables the prediction of drug exposure in pediatrics based on ontogeny of metabolic enzymes and age dependent anatomical and physiological changes. The study aimed to establish a PBPK model of nafamostat in adults, then scale the adult PBPK model to children for predicting pediatric exposures of nafamostat and an optimal weight-based nafamostat dose in pediatric population. The developed model adequately described adult exposure data in healthy volunteers following i.v. administration with three doses (10, 20, and 40 mg). Scaling adult PBPK models to five pediatric groups predicted that as age advances from neonate to adult, the exposure of nafamostat slightly increased from neonate to infant, steadily decreased from infant to child, and then increased from child to adult after the administration of 0.2 mg/kg/h for 14 days, a dosing regimen being conducted in a clinical trial for COVID-19. Based on the fold change of predicted area under the curve for the respective pediatric group over those of adults, weight-based dosages for each pediatric group may be suggested. The novel PBPK model described in this study may be useful to investigate nafamostat pharmacokinetics in a pediatric subgroup further.
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Affiliation(s)
- Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan 47392, Korea
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan 47392, Korea
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
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Han X, Hong X, Li X, Wang Y, Wang Z, Zheng A. Optimization of Personalized Amlodipine Dosing Strategies for Children Based on Pharmacokinetic Data from Chinese Male Adults and PBPK Modeling. CHILDREN 2021; 8:children8110950. [PMID: 34828663 PMCID: PMC8618961 DOI: 10.3390/children8110950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/15/2021] [Accepted: 10/16/2021] [Indexed: 01/30/2023]
Abstract
For children, a special population who are continuously developing, a reasonable dosing strategy is the key to clinical therapy. Accurate dose predictions can help maximize efficacy and minimize pain in pediatrics. Methods: This study collected amlodipine pharmacokinetics (PK) data from 236 Chinese male adults and established a physiological pharmacokinetic (PBPK) model for adults using GastroPlus™. A PBPK model of pediatrics is constructed based on hepatic-to-body size and enzyme metabolism, used similar to the AUC0-∞ to deduce the optimal dosage of amlodipine for children aged 1–16 years. A curve of continuous administration for 2-, 6-, 12-, 16-, and 25-year-olds and a personalized administration program for 6-year-olds were developed. Results: The results show that children could not establish uniform allometric amplification rules. The optimal doses were 0.10 mg·kg−1 for ages 2–6 years and −0.0028 × Age + 0.1148 (mg/kg) for ages 7–16 years, r = 0.9941. The trend for continuous administration was consistent among different groups. In a 6-year-old child, a maintenance dose of 2.30 mg was used to increase the initial dose by 2.00 mg and the treatment dose by 1.00 mg to maintain stable plasma concentrations. Conclusions: A PBPK model based on enzyme metabolism can accurately predict the changes in the pharmacokinetic parameters of amlodipine in pediatrics. It can be used to support the optimization of clinical treatment plans in pediatrics.
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Affiliation(s)
- Xiaolu Han
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China; (X.H.); (X.H.); (X.L.)
- Troops 32104 of People’s Liberation Army of China, Alashan League 735400, China
| | - Xiaoxuan Hong
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China; (X.H.); (X.H.); (X.L.)
| | - Xianfu Li
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China; (X.H.); (X.H.); (X.L.)
| | - Yuxi Wang
- Shanghai PharmoGo Co., Ltd., 3F, Block B, Weitai Building, No. 58, Lane 91, Shanghai 200127, China;
| | - Zengming Wang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China; (X.H.); (X.H.); (X.L.)
- Correspondence: (Z.W.); (A.Z.); Tel.: +86-010-66874665 (Z.W.); +86-010-66931694 (A.Z.)
| | - Aiping Zheng
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing 100850, China; (X.H.); (X.H.); (X.L.)
- Correspondence: (Z.W.); (A.Z.); Tel.: +86-010-66874665 (Z.W.); +86-010-66931694 (A.Z.)
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Olafuyi O, Abbasi MY, Allegaert K. Physiologically based pharmacokinetic modelling of acetaminophen in preterm neonates-The impact of metabolising enzyme ontogeny and reduced cardiac output. Biopharm Drug Dispos 2021; 42:401-417. [PMID: 34407204 DOI: 10.1002/bdd.2301] [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: 04/26/2021] [Revised: 06/14/2021] [Accepted: 07/19/2021] [Indexed: 12/20/2022]
Abstract
In preterm neonates, physiologically based pharmacokinetic (PBPK) models are suited for studying the effects of maturational and non-maturational factors on the pharmacokinetics of drugs with complex age-dependent metabolic pathways like acetaminophen (APAP). The aim of this study was to determine the impact of drug metabolising enzymes ontogeny on the pharmacokinetics of APAP in preterm neonates and to study the effect of reduced cardiac output (CO) on its PK using PBPK modelling. A PBPK model for APAP was first developed and validated in adults and then scaled to paediatric age groups to account for the effect of enzyme ontogeny. In preterm neonates, CO was reduced by 10%, 20%, and 30% to determine how this might affect APAP PK in preterm neonates. In all age groups, the predicted concentration-time profiles of APAP were within 5th and 95th percentile of the clinically observed concentration-time profiles and the predicted Cmax and AUC were within 2-folds of the reported parameters in clinical studies. Sulfation accounted for most of APAP metabolism in children, with the highest contribution of 68% in preterm neonates. A reduction in CO by up to 30% did not significantly alter the clearance of APAP in preterm neonates. The model successfully incorporated the ontogeny of drug metabolising enzymes involved in APAP metabolism and adequately predicted the PK of APAP in preterm neonates. A reduction in hepatic perfusion as a result of up to 30% reduction in CO has no effect on the PK of APAP in preterm neonates.
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Affiliation(s)
- Olusola Olafuyi
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | | | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Department of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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Precision dosing of methadone during pregnancy: A pharmacokinetics virtual clinical trials study. J Subst Abuse Treat 2021; 130:108521. [PMID: 34118695 DOI: 10.1016/j.jsat.2021.108521] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 04/05/2021] [Accepted: 05/28/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Methadone use for the management of opioid dependency during pregnancy is commonplace. Methadone levels are altered during pregnancy due to changes in maternal physiology. Despite this, a paucity of data exist regarding the most appropriate optimal dosing regimens during pregnancy. METHODS This study applied a pharmacokinetic modeling approach to examine gestational changes in R- and S-methadone concentrations in maternal plasma and fetal (cord) blood. This study did so to derive a theoretical optimal dosing regimen during pregnancy, and to identify the impact of Cytochromes P450 (CYP) 2B6 and 2C19 polymorphisms on methadone maternal and fetal pharmacokinetics. RESULTS The study noted significant decreases in maternal R- and S-methadone plasma concentrations during gestation, with concomitant increases in fetal levels. At a dose of 90 mg once daily, 75% (R-) and 94% (S-) of maternal methadone trough levels were below the lower therapeutic window at term (week 40). The developed optimal dosing regimen escalated doses to 110 mg by week 5, followed by 10 mg increments every 5 weeks up to a maximum of 180 mg once daily near term. This increase resulted in 27% (R-) and 11% (S-) of subjects with trough levels below the lower therapeutic window at term. CYP2B6 poor metabolizers (PM) and either CYP2C19 extensive metabolizers (EM), PM, or ultra-rapid (UM) metabolizer phenotypes demonstrated statistically significant increases in concentrations when compared to their matched CYP2B6 EM counterparts. CONCLUSIONS Specific and gestation-dependent dose titrations are required during pregnancy to reduce the risks associated with illicit drug use and to maintain fetal safety.
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Yu H, Singh Badhan RK. The Pharmacokinetics of Gefitinib in a Chinese Cancer Population Group: A Virtual Clinical Trials Population Study. J Pharm Sci 2021; 110:3507-3519. [PMID: 34015277 DOI: 10.1016/j.xphs.2021.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 05/13/2021] [Accepted: 05/13/2021] [Indexed: 12/25/2022]
Abstract
Gefitinib, a selective inhibitor of the epidermal growth factor receptor (EGFR) tyrosine kinase, is used to treat non-small-cell lung cancer (NSCLC). Lung cancer rates are high in China and are expected to increase over the next decade. CYP 2D6 intermediate metaboliser (IM) phenotypes are more prevalent in the Chinese population compared to Caucasians; the increased risk of drug-drug interactions (DDI) with chemotherapy polypharmacy may lead to different clinical pharmacokinetics outcomes for Chinese patients. This study developed and validated a virtual Chinese cancer population for the pragmatic assessment of gefitinib DDI as a victim drug in Chinese and Caucasian cancer populations. When assessing the impact of 2D6 phenotypes on bupropion mediated CYP 2D6 DDI in Chinese cancer population, we found that AUC increased by at least 60% in extensive metabolizers (EM) and 30% in IM. As a result, fmCYP2D6 was reduced by 15% in IM in the presence of bupropion, translating into > 70% of EM subjects and > 48% of IM subjects with trough concentrations at steady state (Ctrough,ss) below the gefitinib target trough level. The PBPK model predicted that a 500 mg once daily dose in both EM and IM subjects successfully reduced the percent of subjects below the Ctrough,ss. Such changes in Ctrough,ss warrant further investigation and highlight the ability of pharmacokinetic modelling to investigate populations that may be difficult to recruit for traditional clinical studies.
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Affiliation(s)
- He Yu
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, United Kingdom
| | - Raj K Singh Badhan
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, United Kingdom.
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Almurjan A, Macfarlane H, Badhan RKS. The application of precision dosing in the use of sertraline throughout pregnancy for poor and ultrarapid metabolizer CYP 2C19 subjects: A virtual clinical trial pharmacokinetics study. Biopharm Drug Dispos 2021; 42:252-262. [PMID: 33851424 DOI: 10.1002/bdd.2278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/07/2021] [Accepted: 03/29/2021] [Indexed: 12/14/2022]
Abstract
Sertraline is known to undergo changes in pharmacokinetics during pregnancy. CYP 2C19 has been implicated in the interindividual variation in clinical effect associated with sertraline activity. However, knowledge of suitable dose titrations during pregnancy and within CYP 2C19 phenotypes is lacking. A pharmacokinetic modeling virtual clinical trials approach was implemented to: (i) assess gestational changes in sertraline trough plasma concentrations for CYP 2C19 phenotypes, and (ii) identify appropriate dose titration strategies to stabilize sertraline levels within a defined therapeutic range throughout gestation. Sertraline trough plasma concentrations decreased throughout gestation, with maternal volume expansion and reduction in plasma albumin being identified as possible causative reasons. All CYP 2C19 phenotypes required a dose increase throughout gestation. For extensive metabolizer (EM) and ultrarapid metabolizer (UM) phenotypes, doses of 100-150 mg daily are required throughout gestation. For poor metabolizers (PM), 50 mg daily during trimester 1 followed by a dose of 100 mg daily in trimesters 2 and 3 are required.
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Affiliation(s)
- Aminah Almurjan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Hannah Macfarlane
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Raj K S Badhan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
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Buyssens L, De Clerck L, Schelstraete W, Dhaenens M, Deforce D, Ayuso M, Van Ginneken C, Van Cruchten S. Hepatic Cytochrome P450 Abundance and Activity in the Developing and Adult Göttingen Minipig: Pivotal Data for PBPK Modeling. Front Pharmacol 2021; 12:665644. [PMID: 33935788 PMCID: PMC8082684 DOI: 10.3389/fphar.2021.665644] [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: 02/08/2021] [Accepted: 02/26/2021] [Indexed: 12/28/2022] Open
Abstract
The Göttingen Minipig is gaining ground as nonrodent species in safety testing of drugs for pediatric indications. Due to developmental changes in pharmacokinetics and pharmacodynamics, physiologically based pharmacokinetic (PBPK) models are built to better predict drug exposure in children and to aid species selection for nonclinical safety studies. These PBPK models require high quality physiological and ADME data such as protein abundance of drug metabolizing enzymes. These data are available for man and rat, but scarce for the Göttingen Minipig. The aim of this study was to assess hepatic cytochrome P450 (CYP) protein abundance in the developing Göttingen Minipig by using mass spectrometry. In addition, sex-related differences in CYP protein abundance and correlation of CYP enzyme activity with CYP protein abundance were assessed. The following age groups were included: gestational day (GD) 84–86 (n = 8), GD 108 (n = 6), postnatal day (PND) 1 (n = 8), PND 3 (n = 8), PND 7 (n = 8), PND 28 (n = 8) and adult (n = 8). Liver microsomes were extracted and protein abundance was compared to that in adult animals. Next, the CYP protein abundance was correlated to CYP enzyme activity in the same biological samples. In general, CYP protein abundance gradually increased during development. However, we observed a stable protein expression over time for CYP4A24 and CYP20A1 and for CYP51A1, a high protein expression during the fetal stages was followed by a decrease during the first month of life and an increase toward adulthood. Sex-related differences were observed for CYP4V2_2a and CYP20A1 at PND 1 with highest expression in females for both isoforms. In the adult samples, sex-related differences were detected for CYP1A1, CYP1A2, CYP2A19, CYP2E1_2, CYP3A22, CYP4V2_2a and CYP4V2_2b with higher values in female compared to male Göttingen Minipigs. The correlation analysis between CYP protein abundance and CYP enzyme activity showed that CYP3A22 protein abundance correlated clearly with the metabolism of midazolam at PND 7. These data are remarkably comparable to human data and provide a valuable step forward in the construction of a neonatal and juvenile Göttingen Minipig PBPK model.
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Affiliation(s)
- Laura Buyssens
- Comparative Perinatal Development, Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium
| | - Laura De Clerck
- Laboratory of Pharmaceutical Biotechnology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Wim Schelstraete
- Laboratory of Pharmacology and Toxicology, Department of Pharmacology, Toxicology and Biochemistry, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Maarten Dhaenens
- Laboratory of Pharmaceutical Biotechnology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Miriam Ayuso
- Comparative Perinatal Development, Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium
| | - Chris Van Ginneken
- Comparative Perinatal Development, Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium
| | - Steven Van Cruchten
- Comparative Perinatal Development, Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium
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van Groen BD, Nicolaï J, Kuik AC, Van Cruchten S, van Peer E, Smits A, Schmidt S, de Wildt SN, Allegaert K, De Schaepdrijver L, Annaert P, Badée J. Ontogeny of Hepatic Transporters and Drug-Metabolizing Enzymes in Humans and in Nonclinical Species. Pharmacol Rev 2021; 73:597-678. [PMID: 33608409 DOI: 10.1124/pharmrev.120.000071] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The liver represents a major eliminating and detoxifying organ, determining exposure to endogenous compounds, drugs, and other xenobiotics. Drug transporters (DTs) and drug-metabolizing enzymes (DMEs) are key determinants of disposition, efficacy, and toxicity of drugs. Changes in their mRNA and protein expression levels and associated functional activity between the perinatal period until adulthood impact drug disposition. However, high-resolution ontogeny profiles for hepatic DTs and DMEs in nonclinical species and humans are lacking. Meanwhile, increasing use of physiologically based pharmacokinetic (PBPK) models necessitates availability of underlying ontogeny profiles to reliably predict drug exposure in children. In addition, understanding of species similarities and differences in DT/DME ontogeny is crucial for selecting the most appropriate animal species when studying the impact of development on pharmacokinetics. Cross-species ontogeny mapping is also required for adequate translation of drug disposition data in developing nonclinical species to humans. This review presents a quantitative cross-species compilation of the ontogeny of DTs and DMEs relevant to hepatic drug disposition. A comprehensive literature search was conducted on PubMed Central: Tables and graphs (often after digitization) in original manuscripts were used to extract ontogeny data. Data from independent studies were standardized and normalized before being compiled in graphs and tables for further interpretation. New insights gained from these high-resolution ontogeny profiles will be indispensable to understand cross-species differences in maturation of hepatic DTs and DMEs. Integration of these ontogeny data into PBPK models will support improved predictions of pediatric hepatic drug disposition processes. SIGNIFICANCE STATEMENT: Hepatic drug transporters (DTs) and drug-metabolizing enzymes (DMEs) play pivotal roles in hepatic drug disposition. Developmental changes in expression levels and activities of these proteins drive age-dependent pharmacokinetics. This review compiles the currently available ontogeny profiles of DTs and DMEs expressed in livers of humans and nonclinical species, enabling robust interpretation of age-related changes in drug disposition and ultimately optimization of pediatric drug therapy.
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Affiliation(s)
- B D van Groen
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - J Nicolaï
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - A C Kuik
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S Van Cruchten
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - E van Peer
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - A Smits
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S Schmidt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - S N de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - K Allegaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - L De Schaepdrijver
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - P Annaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
| | - J Badée
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands (B.D.v.G., K.A.); Development Science, UCB BioPharma SRL, Braine-l'Alleud, Belgium (J.N.); Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands (A.C.K.); Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, Belgium (S.V.C.); Fendigo sa/nvbv, An Alivira Group Company, Brussels, Belgium (E.v.P.); Department of Development and Regeneration KU Leuven, Leuven, Belgium (A.S.); Neonatal intensive care unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida (S.S.); Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands (S.N.d.W.); Departments of Development and Regeneration and of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (K.A.); Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands (K.A.); Nonclinical Safety, Janssen R&D, Beerse, Belgium (L.D.S.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (P.A.); and Department of PK Sciences, Novartis Institutes for BioMedical Research, Basel, Switzerland (J.B.)
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18
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Nauwelaerts N, Deferm N, Smits A, Bernardini C, Lammens B, Gandia P, Panchaud A, Nordeng H, Bacci ML, Forni M, Ventrella D, Van Calsteren K, DeLise A, Huys I, Bouisset-Leonard M, Allegaert K, Annaert P. A comprehensive review on non-clinical methods to study transfer of medication into breast milk - A contribution from the ConcePTION project. Biomed Pharmacother 2021; 136:111038. [PMID: 33526310 DOI: 10.1016/j.biopha.2020.111038] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/03/2020] [Accepted: 11/16/2020] [Indexed: 12/23/2022] Open
Abstract
Breastfeeding plays a major role in the health and wellbeing of mother and infant. However, information on the safety of maternal medication during breastfeeding is lacking for most medications. This leads to discontinuation of either breastfeeding or maternal therapy, although many medications are likely to be safe. Since human lactation studies are costly and challenging, validated non-clinical methods would offer an attractive alternative. This review gives an extensive overview of the non-clinical methods (in vitro, in vivo and in silico) to study the transfer of maternal medication into the human breast milk, and subsequent neonatal systemic exposure. Several in vitro models are available, but model characterization, including quantitative medication transport data across the in vitro blood-milk barrier, remains rather limited. Furthermore, animal in vivo models have been used successfully in the past. However, these models don't always mimic human physiology due to species-specific differences. Several efforts have been made to predict medication transfer into the milk based on physicochemical characteristics. However, the role of transporter proteins and several physiological factors (e.g., variable milk lipid content) are not accounted for by these methods. Physiologically-based pharmacokinetic (PBPK) modelling offers a mechanism-oriented strategy with bio-relevance. Recently, lactation PBPK models have been reported for some medications, showing at least the feasibility and value of PBPK modelling to predict transfer of medication into the human milk. However, reliable data as input for PBPK models is often missing. The iterative development of in vitro, animal in vivo and PBPK modelling methods seems to be a promising approach. Human in vitro models will deliver essential data on the transepithelial transport of medication, whereas the combination of animal in vitro and in vivo methods will deliver information to establish accurate in vitro/in vivo extrapolation (IVIVE) algorithms and mechanistic insights. Such a non-clinical platform will be developed and thoroughly evaluated by the Innovative Medicines Initiative ConcePTION.
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Affiliation(s)
- Nina Nauwelaerts
- KU Leuven Drug Delivery and Disposition Lab, Department of Pharmaceutical and Pharmacological Sciences, O&N II Herestraat, 49 3000, Leuven, Belgium.
| | - Neel Deferm
- KU Leuven Drug Delivery and Disposition Lab, Department of Pharmaceutical and Pharmacological Sciences, O&N II Herestraat, 49 3000, Leuven, Belgium.
| | - Anne Smits
- Neonatal Intensive Care Unit, University Hospitals Leuven, UZ Leuven, Neonatology, Herestraat 49, 3000, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Belgium.
| | - Chiara Bernardini
- Department of Veterinary Medical Sciences, University of Bologna, 40064, Ozzano dell'Emilia, BO, Italy.
| | | | - Peggy Gandia
- Laboratoire de Pharmacocinétique et Toxicologie, Centre Hospitalier Universitaire de Toulouse, France.
| | - Alice Panchaud
- Service of Pharmacy Service, Lausanne University Hospital and University of Lausanne, Switzerland; Institute of Primary Health Care (BIHAM), University of Bern, Switzerland
| | - Hedvig Nordeng
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, PB. 1068 Blindern, 0316, Oslo, Norway.
| | - Maria Laura Bacci
- Department of Veterinary Medical Sciences, University of Bologna, 40064, Ozzano dell'Emilia, BO, Italy.
| | - Monica Forni
- Department of Veterinary Medical Sciences, University of Bologna, 40064, Ozzano dell'Emilia, BO, Italy.
| | - Domenico Ventrella
- Department of Veterinary Medical Sciences, University of Bologna, 40064, Ozzano dell'Emilia, BO, Italy.
| | | | - Anthony DeLise
- Novartis Pharmaceuticals Corporation, Novartis Institutes for BioMedical Research, One Health Plaza, East Hanover, NJ, 07936, USA.
| | - Isabelle Huys
- KU Leuven, Department of Clinical Pharmacology and Pharmacotherapy, ON II Herestraat 49 - bus, 521 3000, Leuven, Belgium.
| | - Michele Bouisset-Leonard
- Novartis Pharma AG, Novartis Institutes for BioMedical Research, Werk Klybeck Postfach, Basel, CH-4002, Switzerland.
| | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Belgium; KU Leuven, Department of Clinical Pharmacology and Pharmacotherapy, ON II Herestraat 49 - bus, 521 3000, Leuven, Belgium; Department of Clinical Pharmacy, Erasmus MC, Rotterdam, the Netherlands.
| | - Pieter Annaert
- KU Leuven Drug Delivery and Disposition Lab, Department of Pharmaceutical and Pharmacological Sciences, O&N II Herestraat, 49 3000, Leuven, Belgium.
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19
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Kalam MN, Rasool MF, Rehman AU, Ahmed N. Clinical Pharmacokinetics of Propranolol Hydrochloride: A Review. Curr Drug Metab 2021; 21:89-105. [PMID: 32286940 DOI: 10.2174/1389200221666200414094644] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 02/06/2020] [Accepted: 03/02/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Nobel laureate Sir James Black's molecule, propranolol, still has broad potential in cardiovascular diseases, infantile haemangiomas and anxiety. A comprehensive and systematic review of the literature for the summarization of pharmacokinetic parameters would be effective to explore the new safe uses of propranolol in different scenarios, without exposing humans and using virtual-human modeling approaches. OBJECTIVE This review encompasses physicochemical properties, pharmacokinetics and drug-drug interaction data of propranolol collected from various studies. METHODS Clinical pharmacokinetic studies on propranolol were screened using Medline and Google Scholar databases. Eighty-three clinical trials, in which pharmacokinetic profiles and plasma time concentration were available after oral or IV administration, were included in the review. RESULTS The study depicts that propranolol is well absorbed after oral administration. It has dose-dependent bioavailability, and a 2-fold increase in dose results in a 2.5-fold increase in the area under the curve, a 1.3-fold increase in the time to reach maximum plasma concentration and finally, 2.2 and 1.8-fold increase in maximum plasma concentration in both immediate and long-acting formulations, respectively. Propranolol is a substrate of CYP2D6, CYP1A2 and CYP2C19, retaining potential pharmacokinetic interactions with co-administered drugs. Age, gender, race and ethnicity do not alter its pharmacokinetics. However, in renal and hepatic impairment, it needs a dose adjustment. CONCLUSION Physiochemical and pooled pharmacokinetic parameters of propranolol are beneficial to establish physiologically based pharmacokinetic modeling among the diseased population.
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Affiliation(s)
| | - Muhammad Fawad Rasool
- Pharmacy Practice Department, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Asim Ur Rehman
- Department of Pharmacy, Quaid-i-Azam University, 45320, Islamabad, Pakistan
| | - Naveed Ahmed
- Department of Pharmacy, Quaid-i-Azam University, 45320, Islamabad, Pakistan
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20
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Riedmaier AE, DeMent K, Huckle J, Bransford P, Stillhart C, Lloyd R, Alluri R, Basu S, Chen Y, Dhamankar V, Dodd S, Kulkarni P, Olivares-Morales A, Peng CC, Pepin X, Ren X, Tran T, Tistaert C, Heimbach T, Kesisoglou F, Wagner C, Parrott N. Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective. AAPS JOURNAL 2020; 22:123. [PMID: 32981010 PMCID: PMC7520419 DOI: 10.1208/s12248-020-00508-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/01/2020] [Indexed: 12/19/2022]
Abstract
The effect of food on pharmacokinetic properties of drugs is a commonly observed occurrence affecting about 40% of orally administered drugs. Within the pharmaceutical industry, significant resources are invested to predict and characterize a clinically relevant food effect. Here, the predictive performance of physiologically based pharmacokinetic (PBPK) food effect models was assessed via de novo mechanistic absorption models for 30 compounds using controlled, pre-defined in vitro, and modeling methodology. Compounds for which absorption was known to be limited by intestinal transporters were excluded in this analysis. A decision tree for model verification and optimization was followed, leading to high, moderate, or low food effect prediction confidence. High (within 0.8- to 1.25-fold) to moderate confidence (within 0.5- to 2-fold) was achieved for most of the compounds (15 and 8, respectively). While for 7 compounds, prediction confidence was found to be low (> 2-fold). There was no clear difference in prediction success for positive or negative food effects and no clear relationship to the BCS category of tested drug molecules. However, an association could be demonstrated when the food effect was mainly related to changes in the gastrointestinal luminal fluids or physiology, including fluid volume, motility, pH, micellar entrapment, and bile salts. Considering these findings, it is recommended that appropriately verified mechanistic PBPK modeling can be leveraged with high to moderate confidence as a key approach to predicting potential food effect, especially related to mechanisms highlighted here.
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Affiliation(s)
| | - Kevin DeMent
- Global DMPK, Takeda Pharmaceutical Co., Ltd., San Diego, California, USA
| | - James Huckle
- Drug Product Technology, Amgen, Thousand Oaks, California, USA
| | - Phil Bransford
- Modeling & Informatics, Vertex Pharmaceuticals, Boston, Massachusetts, USA
| | - Cordula Stillhart
- Pharmaceutical R&D, Formulation & Process Sciences, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Richard Lloyd
- Computational & Modelling Sciences, Platform Technology Sciences, GlaxoSmithKline R&D, Ware, Hertfordshire, UK
| | - Ravindra Alluri
- Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Sumit Basu
- Pharmacokinetic, Pharmacodynamic and Drug Metabolism-Quantitative Pharmacology and Pharmacometrics (PPDM-QP2), Merck & Co, Inc., West Point, Pennsylvania, USA
| | - Yuan Chen
- Department of Drug Metabolism and Pharmacokinetics, Genentech, South San Francisco, California, USA
| | - Varsha Dhamankar
- Formulation Development, Vertex Pharmaceuticals, Boston, Massachusetts, USA.,Formulation Development, Cyclerion Therapeutics Inc., Cambridge, Massachusetts, USA
| | - Stephanie Dodd
- Chemical & Pharmaceutical Profiling, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
| | - Priyanka Kulkarni
- Department of Pharmacokinetics and Drug Metabolism, Amgen Inc., Cambridge, Massachusetts, USA
| | - Andrés Olivares-Morales
- Pharmaceutical Sciences, Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | - Chi-Chi Peng
- Department of Pharmacokinetics and Drug Metabolism, Amgen Inc., Cambridge, Massachusetts, USA.,Drug Metabolism and Pharmacokinetics, Theravance Biopharma, South San Francisco, California, USA
| | - Xavier Pepin
- New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK
| | - Xiaojun Ren
- Modeling & Simulation, PK Sciences, Novartis Institutes of Biomedical Research, East Hanover, New Jersey, USA
| | - Thuy Tran
- Computational & Modelling Sciences, Platform Technology Sciences, GlaxoSmithKline R&D, Collegeville, Pennsylvania, USA
| | | | - Tycho Heimbach
- PBPK & Biopharmaceutics, Novartis Institutes of Biomedical Research, Wayne, New Jersey, USA
| | | | - Christian Wagner
- Pharmaceutical Technologies, Chemical and Pharmaceutical Development, Merck Healthcare KGaA, Darmstadt, Germany
| | - Neil Parrott
- Pharmaceutical Sciences, Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
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21
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Miao L, Mousa YM, Zhao L, Raines K, Seo P, Wu F. Using a Physiologically Based Pharmacokinetic Absorption Model to Establish Dissolution Bioequivalence Safe Space for Oseltamivir in Adult and Pediatric Populations. AAPS JOURNAL 2020; 22:107. [DOI: 10.1208/s12248-020-00493-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 07/28/2020] [Indexed: 11/30/2022]
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22
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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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23
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Basu S, Lien YTK, Vozmediano V, Schlender JF, Eissing T, Schmidt S, Niederalt C. Physiologically Based Pharmacokinetic Modeling of Monoclonal Antibodies in Pediatric Populations Using PK-Sim. Front Pharmacol 2020; 11:868. [PMID: 32595502 PMCID: PMC7300301 DOI: 10.3389/fphar.2020.00868] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 05/26/2020] [Indexed: 12/15/2022] Open
Abstract
Physiologically based pharmacokinetic (PBPK) models are increasingly used to support pediatric dose selection for small molecule drugs. In contrast, only a few pediatric PBPK models for therapeutic antibodies have been published recently, and the knowledge on the maturation of the processes relevant for antibody pharmacokinetics (PK) is limited compared to small molecules. The aim of this study was, thus, to evaluate predictions from antibody PBPK models for children which were scaled from PBPK models for adults in order to identify respective knowledge gaps. For this, we used the generic PBPK model implemented in PK-Sim without further modifications. Focusing on general clearance and distribution mechanisms, we selected palivizumab and bevacizumab as examples for this evaluation since they show simple, linear PK which is not governed by drug-specific target mediated disposition at usual therapeutic dosages, and their PK has been studied in pediatric populations after intravenous application. The evaluation showed that the PK of palivizumab was overall reasonably well predicted, while the clearance for bevacizumab seems to be underestimated. Without implementing additional ontogeny for antibody PK-specific processes into the PBPK model, bodyweight normalized clearance increases only moderately in young children compared to adults. If growth during aging at the time of the simulation was considered, the apparent clearance is approximately 20% higher compared to simulations for which growth was not considered for newborns due to the long half-life of antibodies. To fully understand the differences and similarities in the PK of antibodies between adults and children, further research is needed. By integrating available information and data, PBPK modeling can contribute to reveal the relevance of involved processes as well as to generate and test hypothesis.
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Affiliation(s)
- Sumit Basu
- Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, United States
| | - Yi Ting Kayla Lien
- Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, United States
| | - Valvanera Vozmediano
- Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, United States
| | | | | | - Stephan Schmidt
- Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, United States
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24
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Almurjan A, Macfarlane H, Badhan RKS. Precision dosing-based optimisation of paroxetine during pregnancy for poor and ultrarapid CYP2D6 metabolisers: a virtual clinical trial pharmacokinetics study. J Pharm Pharmacol 2020; 72:1049-1060. [DOI: 10.1111/jphp.13281] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/04/2020] [Indexed: 01/06/2023]
Abstract
Abstract
Objective
Paroxetine has been demonstrated to undergo gestation-related reductions in plasma concentrations, to an extent which is dictated by the polymorphic state of CYP 2D6. However, knowledge of appropriate dose titrations is lacking.
Methods
A pharmacokinetic modelling approach was applied to examine gestational changes in trough plasma concentrations for CYP 2D6 phenotypes, followed by necessary dose adjustment strategies to maintain paroxetine levels within a therapeutic range of 20–60 ng/ml.
Key findings
A decrease in trough plasma concentrations was simulated throughout gestation for all phenotypes. A significant number of ultrarapid (UM) phenotype subjects possessed trough levels below 20 ng/ml (73–76%) compared to extensive metabolisers (EM) (51–53%).
Conclusions
For all phenotypes studied, there was a requirement for daily doses in excess of the standard 20 mg dose throughout gestation. For EM, a dose of 30 mg daily in trimester 1 followed by 40 mg daily in trimesters 2 and 3 is suggested to be optimal. For poor metabolisers (PM), a 20 mg daily dose in trimester 1 followed by 30 mg daily in trimesters 2 and 3 is suggested to be optimal. For UM, a 40 mg daily dose throughout gestation is suggested to be optimal.
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Affiliation(s)
- Aminah Almurjan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Hannah Macfarlane
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Raj K S Badhan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
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25
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Chen Y, Ke M, Xu J, Lin C. Simulation of the Pharmacokinetics of Oseltamivir and Its Active Metabolite in Normal Populations and Patients with Hepatic Cirrhosis Using Physiologically Based Pharmacokinetic Modeling. AAPS PharmSciTech 2020; 21:98. [PMID: 32128656 DOI: 10.1208/s12249-020-1638-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 02/12/2020] [Indexed: 12/15/2022] Open
Abstract
Oseltamivir is a neuraminidase inhibitor widely used to treat and prevent influenza A and B infections, although its safety and pharmacokinetics have not been evaluated in patients with severe hepatic impairment. A physiologically based pharmacokinetic (PBPK) model of the prodrug oseltamivir and its active metabolite, oseltamivir carboxylate (OC), was established and validated to simulate their disposition in adults and predict the exposure in patients with Child-Pugh C cirrhosis (CP-C). The simulated results from PBPK modeling and the observed data after oral administration of various oseltamivir regimens were consistent according to the fold error values of less than 2. Furthermore, the clinical observations published in the literature were comparable with our pharmacokinetic predictions. In patients with CP-C, the oseltamivir Cmax was approximately 2-fold increased, and its AUC was approximately 6-fold higher compared with those in normal subjects. In contrast, the AUC of OC in CP-C patients did not differ significantly from that in normal subjects, whereas its Cmax was reduced by approximately 30% in the patients. Examination of drug exposure in different health conditions indicated that the oseltamivir exposure was significantly increased in conditions with elevated cirrhosis severity, which might be associated with a higher risk of adverse drug effects, e.g., neuropsychiatric adverse events (NPAEs). In conclusion, the pharmacokinetics of oseltamivir and OC were correctly predicted by PBPK modeling. The model further predicted that the pharmacokinetics of oseltamivir might be altered in liver cirrhosis, depending on the degree of severity.
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26
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State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development. Clin Pharmacokinet 2020; 58:1-13. [PMID: 29777528 DOI: 10.1007/s40262-018-0677-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Physiologically based pharmacokinetic modeling and simulation is an important tool for predicting the pharmacokinetics, pharmacodynamics, and safety of drugs in pediatrics. Physiologically based pharmacokinetic modeling is applied in pediatric drug development for first-time-in-pediatric dose selection, simulation-based trial design, correlation with target organ toxicities, risk assessment by investigating possible drug-drug interactions, real-time assessment of pharmacokinetic-safety relationships, and assessment of non-systemic biodistribution targets. This review summarizes the details of a physiologically based pharmacokinetic modeling approach in pediatric drug research, emphasizing reports on pediatric physiologically based pharmacokinetic models of individual drugs. We also compare and contrast the strategies employed by various researchers in pediatric physiologically based pharmacokinetic modeling and provide a comprehensive overview of physiologically based pharmacokinetic modeling strategies and approaches in pediatrics. We discuss the impact of physiologically based pharmacokinetic models on regulatory reviews and product labels in the field of pediatric pharmacotherapy. Additionally, we examine in detail the current limitations and future directions of physiologically based pharmacokinetic modeling in pediatrics with regard to the ability to predict plasma concentrations and pharmacokinetic parameters. Despite the skepticism and concern in the pediatric community about the reliability of physiologically based pharmacokinetic models, there is substantial evidence that pediatric physiologically based pharmacokinetic models have been used successfully to predict differences in pharmacokinetics between adults and children for several drugs. It is obvious that the use of physiologically based pharmacokinetic modeling to support various stages of pediatric drug development is highly attractive and will rapidly increase, provided the robustness and reliability of these techniques are well established.
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27
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Gibiansky L, Ravva P, Parrott NJ, Bhardwaj R, Zwanziger E, Grimsey P, Clinch B, Sturm S. Mechanistic Population Pharmacokinetic Model of Oseltamivir and Oseltamivir Carboxylate Accounting for Physiological Changes to Predict Exposures in Neonates and Infants. Clin Pharmacol Ther 2020; 108:126-135. [PMID: 31957010 PMCID: PMC7325316 DOI: 10.1002/cpt.1791] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 01/04/2020] [Indexed: 11/12/2022]
Abstract
A mechanistic population‐pharmacokinetic model was developed to predict oseltamivir exposures in neonates and infants accounting for physiological changes during the first 2 years of life. The model included data from 13 studies, comprising 436 subjects with normal renal function (317 pediatric subjects (≥ 38 weeks postmenstrual age (PMA), ≥ 13 days old) and 119 adult subjects < 40 years). Concentration–time profiles of oseltamivir and its active metabolite, oseltamivir carboxylate (OC), were characterized by a four‐compartment model, with absorption described by three additional compartments. Renal maturational changes were implemented by description of OC clearance with allometric function of weight and Hill function of PMA. Clearance of OC increased with weight up to 43 kg (allometric coefficient 0.75). Half the adult OC clearance was reached at a PMA of 45.6 weeks (95% confidence interval (CI) 41.6–49.6) with a Hill coefficient of 2.35 (95% CI 1.67–3.04). The model supports the European Union/United States‐approved 3 mg/kg twice‐daily oseltamivir dose for infants < 1 year (PMA ≥ 38 weeks) and allows prediction of exposures in preterm neonates.
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Affiliation(s)
| | - Patanjali Ravva
- Roche Innovation Center New York, Roche Pharmaceutical Research and Early Development, New York, New York, USA.,Pfizer Inc, Global Clinical Pharmacology, New York, New York, USA
| | - Neil J Parrott
- Roche Innovation Center Basel, Roche Pharmaceutical Research and Early Development, Basel, Switzerland
| | - Rajinder Bhardwaj
- Integrated Drug Development, Certara Strategic Consulting, Parsippany, New Jersey, USA
| | - Elke Zwanziger
- Roche Innovation Center Basel, Roche Pharmaceutical Research and Early Development, Basel, Switzerland
| | - Paul Grimsey
- Roche Innovation Center Welwyn, Roche Pharmaceutical Research and Early Development, Welwyn Garden City, UK
| | - Barry Clinch
- Roche Products Limited, Product Development, Welwyn Garden City, UK
| | - Stefan Sturm
- Roche Innovation Center Basel, Roche Pharmaceutical Research and Early Development, Basel, Switzerland
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28
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Ventrella D, Forni M, Bacci ML, Annaert P. Non-clinical Models to Determine Drug Passage into Human Breast Milk. Curr Pharm Des 2020; 25:534-548. [PMID: 30894104 DOI: 10.2174/1381612825666190320165904] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/18/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Successful practice of clinical perinatal pharmacology requires a thorough understanding of the pronounced physiological changes during lactation and how these changes affect various drug disposition processes. In addition, pharmacokinetic processes unique to lactation have remained understudied. Hence, determination of drug disposition mechanisms in lactating women and their babies remains a domain with important knowledge gaps. Indeed, lack of data regarding infant risk during breastfeeding far too often results in discontinuation of breastfeeding and subsequent loss of all the associated benefits to the breastfed infant. In the absence of age-specific toxicity data, human lactation data alone are considered insufficient to rapidly generate the required evidence regarding risks associated with medication use during lactation. METHODS Systematic review of literature to summarize state-of-the art non-clinical approaches that have been developed to explore the mechanisms underlying drug milk excretion. RESULTS Several studies have reported methods to predict (to some extent) milk drug excretion rates based on physicochemical properties of the compounds. In vitro studies with primary mammary epithelial cells appear excellent approaches to determine transepithelial drug transport rates across the mammary epithelium. Several of these in vitro tools have been characterized in terms of transporter expression and activity as compared to the mammary gland tissue. In addition, with the advent of physiology-based pharmacokinetic (PBPK) modelling, these in vitro transport data may prove instrumental in predicting drug milk concentration time profiles prior to the availability of data from clinical lactation studies. In vivo studies in lactating animals have proven their utility in elucidating the mechanisms underlying drug milk excretion. CONCLUSION By combining various non-clinical tools (physicochemistry-based, in vitro and PBPK, in vivo animal) for drug milk excretion, valuable and unique information regarding drug milk concentrations during lactation can be obtained. The recently approved IMI project ConcePTION will address several of the challenges outlined in this review.
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Affiliation(s)
- Domenico Ventrella
- University of Bologna, Department of Veterinary Medical Science, 40064 Ozzano Emilia Bologna, Italy
| | - Monica Forni
- University of Bologna, Department of Veterinary Medical Science, 40064 Ozzano Emilia Bologna, Italy
| | - Maria Laura Bacci
- University of Bologna, Department of Veterinary Medical Science, 40064 Ozzano Emilia Bologna, Italy
| | - Pieter Annaert
- Drug Delivery and Disposition, KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Herestraat 49-box 921, 3000 Leuven, Belgium
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Badhan RKS, Macfarlane H. Quetiapine dose optimisation during gestation: a pharmacokinetic modelling study. J Pharm Pharmacol 2020; 72:670-681. [DOI: 10.1111/jphp.13236] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 01/13/2020] [Indexed: 12/14/2022]
Abstract
Abstract
Objectives
The second-generation antipsychotic quetiapine has been demonstrated to undergo gestation-related changes in pharmacokinetics. This study applied pharmacokinetic modelling principles to investigate the mechanism of these changes and to propose new dosing strategies to counteract these changes.
Methods
A pharmacokinetic modelling approach was implemented using virtual population groups. Changes in quetiapine trough plasma concentration during gestation were quantified across all trimesters, and dose adjustment strategies were applied to counteract these changes by targeting a therapeutic range of 50–500 ng/ml throughout gestation.
Key findings
The application of the model during gestation predicted a decrease in trough concentration. A maximum decrease of 58% was predicted during trimester 2, and being associated with a statistically significant decrease in oral clearance at gestation week 25, 204 l/h ± 100.8 l/h compared with non-pregnant subjects, 121.9 l/h ± 51.8 l/h. A dosing optimisation strategy identified that dose increases to 500–700 mg twice daily would result in 32–55% of subjects possessing trough concentration in excess of 50 ng/ml.
Conclusions
Quetiapine doses in pregnancy should be increased to 500–700 mg twice daily to counteract a concomitant increase in metabolic clearance, increase in volume of distribution and decrease in plasma protein binding.
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Affiliation(s)
- Raj K S Badhan
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
| | - Hannah Macfarlane
- Medicines Optimisation Research Group, Aston Pharmacy School, Aston University, Birmingham, UK
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Neal-Kluever A, Fisher J, Grylack L, Kakiuchi-Kiyota S, Halpern W. Physiology of the Neonatal Gastrointestinal System Relevant to the Disposition of Orally Administered Medications. Drug Metab Dispos 2018; 47:296-313. [DOI: 10.1124/dmd.118.084418] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 12/14/2018] [Indexed: 12/13/2022] Open
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Olafuyi O, Badhan RKS. Dose Optimization of Chloroquine by Pharmacokinetic Modeling During Pregnancy for the Treatment of Zika Virus Infection. J Pharm Sci 2018; 108:661-673. [PMID: 30399360 DOI: 10.1016/j.xphs.2018.10.056] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 10/01/2018] [Accepted: 10/30/2018] [Indexed: 01/01/2023]
Abstract
The insidious nature of Zika virus (ZIKV) infections can have a devastating consequence for fetal development. Recent reports have highlighted that chloroquine (CQ) is capable of inhibiting ZIKV endocytosis in brain cells. We applied pharmacokinetic modeling to develop a predictive model for CQ exposure to identify an optimal maternal/fetal dosing regimen to prevent ZIKV endocytosis in brain cells. Model validation used 13 nonpregnancy and 3 pregnancy clinical studies, and a therapeutic CQ plasma window of 0.3-2 μM was derived. Dosing regimens used in rheumatoid arthritis, systemic lupus erythematosus, and malaria were assessed for their ability to target this window. Dosing regimen identified that weekly doses used in malaria were not sufficient to reach the lower therapeutic window; however, daily doses of 150 mg achieved this therapeutic window. The impact of gestational age was further assessed and culminated in a final proposed regimen of 600 mg on day 1, 300 mg on day 2 and 3, and 150 mg thereafter until the end of trimester 2, which resulted in maintaining 65% and 94% of subjects with a trough plasma concentration above the lower therapeutic window on day 6 and at term, respectively.
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Affiliation(s)
- Olusola Olafuyi
- Aston Health Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK
| | - Raj K S Badhan
- Aston Health Research Group, Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK; Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK.
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Badhan R, Zakaria Z, Olafuyi O. The Repurposing of Ivermectin for Malaria: A Prospective Pharmacokinetics-Based Virtual Clinical Trials Assessment of Dosing Regimen Options. J Pharm Sci 2018; 107:2236-2250. [DOI: 10.1016/j.xphs.2018.03.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 02/09/2018] [Accepted: 03/30/2018] [Indexed: 12/30/2022]
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Clopidogrel Pharmacokinetics in Malaysian Population Groups: The Impact of Inter-Ethnic Variability. Pharmaceuticals (Basel) 2018; 11:ph11030074. [PMID: 30049953 PMCID: PMC6161187 DOI: 10.3390/ph11030074] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/06/2018] [Accepted: 07/08/2018] [Indexed: 12/13/2022] Open
Abstract
Malaysia is a multi-ethnic society whereby the impact of pharmacogenetic differences between ethnic groups may contribute significantly to variability in clinical therapy. One of the leading causes of mortality in Malaysia is cardiovascular disease (CVD), which accounts for up to 26% of all hospital deaths annually. Clopidogrel is used as an adjunct treatment in the secondary prevention of cardiovascular events. CYP2C19 plays an integral part in the metabolism of clopidogrel to the active metabolite clopi-H4. However, CYP2C19 genetic polymorphism, prominent in Malaysians, could influence target clopi-H4 plasma concentrations for clinical efficacy. This study addresses how inter-ethnicity variability within the Malaysian population impacts the attainment of clopi-H4 target plasma concentration under different CYP2C19 polymorphisms through pharmacokinetic (PK) modelling. We illustrated a statistically significant difference (P < 0.001) in the clopi-H4 Cmax between the extensive metabolisers (EM) and poor metabolisers (PM) phenotypes with either Malay or Malaysian Chinese population groups. Furthermore, the number of PM individuals with peak clopi-H4 concentrations below the minimum therapeutic level was partially recovered using a high-dose strategy (600 mg loading dose followed by a 150 mg maintenance dose), which resulted in an approximate 50% increase in subjects attaining the minimum clopi-H4 plasma concentration for a therapeutic effect.
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Cirit M, Stokes CL. Maximizing the impact of microphysiological systems with in vitro-in vivo translation. LAB ON A CHIP 2018; 18:1831-1837. [PMID: 29863727 PMCID: PMC6019627 DOI: 10.1039/c8lc00039e] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Microphysiological systems (MPS) hold promise for improving therapeutic drug approval rates by providing more physiological, human-based, in vitro assays for preclinical drug development activities compared to traditional in vitro and animal models. Here, we first summarize why MPSs are needed in pharmaceutical development, and examine how MPS technologies can be utilized to improve preclinical efforts. We then provide the perspective that the full impact of MPS technologies will be realized only when robust approaches for in vitro-in vivo (MPS-to-human) translation are developed and utilized, and explain how the burgeoning field of quantitative systems pharmacology (QSP) can fill that need.
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Affiliation(s)
- Murat Cirit
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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35
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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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Donovan MD, Abduljalil K, Cryan JF, Boylan GB, Griffin BT. Application of a physiologically-based pharmacokinetic model for the prediction of bumetanide plasma and brain concentrations in the neonate. Biopharm Drug Dispos 2018; 39:125-134. [DOI: 10.1002/bdd.2119] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 12/06/2017] [Accepted: 12/19/2017] [Indexed: 12/30/2022]
Affiliation(s)
- Maria D. Donovan
- Pharmacodelivery Group, School of Pharmacy; University College Cork; Cork Ireland
- Department of Anatomy and Neuroscience; University College Cork; Cork Ireland
| | | | - John F. Cryan
- Department of Anatomy and Neuroscience; University College Cork; Cork Ireland
- Alimentary Pharmabiotic Centre; University College Cork; Cork Ireland
| | - Geraldine B. Boylan
- Department of Paediatrics and Child Health; University College Cork; Cork Ireland
- Irish Centre for Fetal and Neonatal Translational Research; University College Cork and Cork University Maternity Hospital; Cork Ireland
| | - Brendan T. Griffin
- Pharmacodelivery Group, School of Pharmacy; University College Cork; Cork Ireland
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Templeton IE, Jones NS, Musib L. Pediatric Dose Selection and Utility of PBPK in Determining Dose. AAPS JOURNAL 2018; 20:31. [DOI: 10.1208/s12248-018-0187-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 01/04/2018] [Indexed: 11/30/2022]
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Gonzàlez-Parra G, De Ridder F, Huntjens D, Roymans D, Ispas G, Dobrovolny HM. A comparison of RSV and influenza in vitro kinetic parameters reveals differences in infecting time. PLoS One 2018; 13:e0192645. [PMID: 29420667 PMCID: PMC5805318 DOI: 10.1371/journal.pone.0192645] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 01/26/2018] [Indexed: 11/19/2022] Open
Abstract
Influenza and respiratory syncytial virus (RSV) cause acute infections of the respiratory tract. Since the viruses both cause illnesses with similar symptoms, researchers often try to apply knowledge gleaned from study of one virus to the other virus. This can be an effective and efficient strategy for understanding viral dynamics or developing treatment strategies, but only if we have a full understanding of the similarities and differences between the two viruses. This study used mathematical modeling to quantitatively compare the viral kinetics of in vitro RSV and influenza virus infections. Specifically, we determined the viral kinetics parameters for RSV A2 and three strains of influenza virus, A/WSN/33 (H1N1), A/Puerto Rico/8/1934 (H1N1), and pandemic H1N1 influenza virus. We found that RSV viral titer increases at a slower rate and reaches its peak value later than influenza virus. Our analysis indicated that the slower increase of RSV viral titer is caused by slower spreading of the virus from one cell to another. These results provide estimates of dynamical differences between influenza virus and RSV and help provide insight into the virus-host interactions that cause observed differences in the time courses of the two illnesses in patients.
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Affiliation(s)
- Gilberto Gonzàlez-Parra
- Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX, United States of America
- Department of Mathematics, New Mexico Tech, Socorro, NM, United States of America
| | | | | | | | | | - Hana M. Dobrovolny
- Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX, United States of America
- * E-mail:
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Rajoli RKR, Back DJ, Rannard S, Meyers CF, Flexner C, Owen A, Siccardi M. In Silico Dose Prediction for Long-Acting Rilpivirine and Cabotegravir Administration to Children and Adolescents. Clin Pharmacokinet 2018; 57:255-266. [PMID: 28540638 PMCID: PMC5701864 DOI: 10.1007/s40262-017-0557-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND OBJECTIVES Long-acting injectable antiretrovirals represent a pharmacological alternative to oral formulations and an innovative clinical option to address adherence and reduce drug costs. Clinical studies in children and adolescents are characterised by ethical and logistic barriers complicating the identification of dose optimisation. Physiologically-based pharmacokinetic modelling represents a valuable tool to inform dose finding prior to clinical trials. The objective of this study was to simulate potential dosing strategies for existing long-acting injectable depot formulations of cabotegravir and rilpivirine in children and adolescents (aged 3-18 years) using physiologically-based pharmacokinetic modelling. METHODS Whole-body physiologically-based pharmacokinetic models were developed to represent the anatomical, physiological and molecular processes and age-related changes in children and adolescents through allometric equations. Models were validated for long-acting injectable intramuscular cabotegravir and rilpivirine in adults. Subsequently, the anatomy and physiology of children and adolescents were validated against available literature. The optimal doses of monthly administration of cabotegravir and rilpivirine were identified in children and adolescents, to achieve trough concentrations over the target concentrations derived in a recent efficacy trial of the same formulations. RESULTS Pharmacokinetic data generated through the physiologically-based pharmacokinetic simulations were similar to observed clinical data in adults. Optimal doses of long-acting injectable antiretrovirals cabotegravir and rilpivirine were predicted using the release rate observed for existing clinical formulations, for different weight groups of children and adolescents. The intramuscular loading dose and maintenance dose of cabotegravir ranged from 200 to 600 mg and from 100 to 250 mg, respectively, and for rilpivirine it ranged from 250 to 550 mg and from 150 to 500 mg, respectively, across various weight groups of children ranging from 15 to 70 kg. CONCLUSIONS The reported findings represent a rational platform for the identification of suitable dosing strategies and can inform prospective clinical investigation of long-acting injectable formulations in children and adolescents.
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Affiliation(s)
- Rajith K R Rajoli
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - David J Back
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Steve Rannard
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Caren Freel Meyers
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Charles Flexner
- Johns Hopkins University School of Medicine and Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew Owen
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Marco Siccardi
- Department of Molecular and Clinical Pharmacology, University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK.
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40
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The great barrier belief: The blood–brain barrier and considerations for juvenile toxicity studies. Reprod Toxicol 2017. [DOI: 10.1016/j.reprotox.2017.06.043] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Samant TS, Lukacova V, Schmidt S. Development and Qualification of Physiologically Based Pharmacokinetic Models for Drugs With Atypical Distribution Behavior: A Desipramine Case Study. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2017; 6:315-321. [PMID: 28398693 PMCID: PMC5697013 DOI: 10.1002/psp4.12180] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 12/16/2016] [Accepted: 01/18/2017] [Indexed: 12/04/2022]
Abstract
Desipramine is a secondary tricyclic amine, which is primarily metabolized by cytochrome 2D6. It shows a high volume of distribution (Vss) (10–50 L/kg) due to its high lipophilicity, unspecific phospholipid binding, and lysosomal trapping. The objective of this study was to develop and qualify a physiologically based pharmacokinetic (PBPK) model for desipramine, which accounts for the high Vss of the drug following intravenous and oral administration of doses up to 100 mg. The model also accounts for the extended time to reach maximum concentration after oral dosing due to enterocyte trapping. Once developed and qualified in adults, we characterized the dynamic changes in metabolism and pharmacokinetics of desipramine after birth by scaling the system‐specific parameters of the model from adults to pediatrics. The developed modeling strategy provides a prototypical workflow that can also be applied to other drugs with similar properties and a high volume of distribution.
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Affiliation(s)
- T S Samant
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Lake Nona (Orlando), Florida, USA
| | - V Lukacova
- Simulations Plus, Inc., Lancaster, California, USA
| | - S Schmidt
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Lake Nona (Orlando), Florida, USA
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Nicolas JM, Bouzom F, Hugues C, Ungell AL. Oral drug absorption in pediatrics: the intestinal wall, its developmental changes and current tools for predictions. Biopharm Drug Dispos 2017; 38:209-230. [PMID: 27976409 PMCID: PMC5516238 DOI: 10.1002/bdd.2052] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Revised: 11/21/2016] [Accepted: 11/30/2016] [Indexed: 12/14/2022]
Abstract
The dissolution, intestinal absorption and presystemic metabolism of a drug depend on its physicochemical characteristics but also on numerous physiological (e.g. gastrointestinal pH, volume, transit time, morphology) and biochemical factors (e.g. luminal enzymes and flora, intestinal wall enzymes and transporters). Over the past decade, evidence has accumulated indicating that these factors may differ in children and adults resulting in age-related changes in drug exposure and drug response. Thus, drug dosage may require adjustment for the pediatric population to ensure the desired therapeutic outcome and to avoid side-effects. Although tremendous progress has been made in understanding the effects of age on intestinal physiology and function, significant knowledge gaps remain. Studying and predicting pharmacokinetics in pediatric patients remains challenging due to ethical concerns associated with clinical trials in this vulnerable population, and because of the paucity of predictive in vitro and in vivo animal assays. This review details the current knowledge related to developmental changes determining intestinal drug absorption and pre-systemic metabolism. Supporting experimental approaches as well as physiologically based pharmacokinetic modeling are also discussed together with their limitations and challenges. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Jean-Marie Nicolas
- Non-Clinical Development Department, UCB Biopharma sprl, Braine-l'Alleud, Belgium
| | - François Bouzom
- Non-Clinical Development Department, UCB Biopharma sprl, Braine-l'Alleud, Belgium
| | - Chanteux Hugues
- Non-Clinical Development Department, UCB Biopharma sprl, Braine-l'Alleud, Belgium
| | - Anna-Lena Ungell
- Non-Clinical Development Department, UCB Biopharma sprl, Braine-l'Alleud, Belgium
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Kim NN, Parker RM, Weinbauer GF, Remick AK, Steinbach T. Points to Consider in Designing and Conducting Juvenile Toxicology Studies. Int J Toxicol 2017; 36:325-339. [DOI: 10.1177/1091581817699975] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In support of a clinical trial in the pediatric population, available nonclinical and clinical data provide input on the study design and safety monitoring considerations. When the existing data are lacking to support the safety of the planned pediatric clinical trial, a juvenile animal toxicity study is likely required. Usually a single relevant species, preferably a rodent, is chosen as the species of choice, while a nonrodent species can be appropriate when scientifically justified. Juvenile toxicology studies, in general, are complicated both conceptually and logistically. Development in young animals is a continuous process with different organs maturing at different rates and time. Structural and functional maturational differences have been shown to affect drug safety. Key points to consider in conducting a juvenile toxicology study include a comparative development of the organ systems, differences in the pharmacokinetics/absorption, distribution, metabolism, excretion (PK/ADME) profiles of the drug between young animal and child, and logistical requirement in the juvenile study design. The purpose of this publication is to note pertinent points to consider when designing and conducting juvenile toxicology studies and to aid in future modifications and enhancements of these studies to enable a superior predictability of safety of medicines in the pediatric population.
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Boberg M, Vrana M, Mehrotra A, Pearce RE, Gaedigk A, Bhatt DK, Leeder JS, Prasad B. Age-Dependent Absolute Abundance of Hepatic Carboxylesterases (CES1 and CES2) by LC-MS/MS Proteomics: Application to PBPK Modeling of Oseltamivir In Vivo Pharmacokinetics in Infants. Drug Metab Dispos 2017; 45:216-223. [PMID: 27895113 PMCID: PMC5267516 DOI: 10.1124/dmd.116.072652] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 11/22/2016] [Indexed: 12/17/2022] Open
Abstract
The age-dependent absolute protein abundance of carboxylesterase (CES) 1 and CES2 in human liver was investigated and applied to predict infant pharmacokinetics (PK) of oseltamivir. The CES absolute protein abundance was determined by liquid chromatography-tandem mass spectrometry proteomics in human liver microsomal and cytosolic fractions prepared from tissue samples obtained from 136 pediatric donors and 35 adult donors. Two surrogate peptides per protein were selected for the quantification of CES1 and CES2 protein abundance. Purified CES1 and CES2 protein standards were used as calibrators, and the heavy labeled peptides were used as the internal standards. In hepatic microsomes, CES1 and CES2 abundance (in picomoles per milligram total protein) increased approximately 5-fold (315.2 vs. 1664.4) and approximately 3-fold (59.8 vs. 174.1) from neonates to adults, respectively. CES1 protein abundance in liver cytosol also showed age-dependent maturation. Oseltamivir carboxylase activity was correlated with protein abundance in pediatric and adult liver microsomes. The protein abundance data were then used to model in vivo PK of oseltamivir in infants using pediatric physiologically based PK modeling and incorporating the protein abundance-based ontogeny function into the existing pediatric Simcyp model. The predicted pediatric area under the curve, maximal plasma concentration, and time for maximal plasma concentration values were below 2.1-fold of the clinically observed values, respectively.
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Affiliation(s)
- Mikael Boberg
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Marc Vrana
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Aanchal Mehrotra
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Robin E Pearce
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Andrea Gaedigk
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Deepak Kumar Bhatt
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - J Steven Leeder
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
| | - Bhagwat Prasad
- Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.)
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Abstract
A pediatric assessment is now a required component of every drug marketing application in North America, Europe, and Japan, unless a waiver has been granted previously. Nonclinical juvenile toxicity studies are often required as part of this assessment. The protocols for juvenile toxicity studies are best devised in consultation with the regulatory authorities. It is important to submit the pediatric investigation plan (PIP) or pediatric study plan (PSP) early, in order not to delay the marketing authorization of the drug in adults. The choice of species and the design of juvenile toxicity studies are based on a series of complex considerations, including the therapeutic use of the drug, age at which children will be treated, duration of treatment, and potential age- or species-specific differences in efficacy, pharmacokinetics, or toxicity.
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Mooij MG, Nies AT, Knibbe CAJ, Schaeffeler E, Tibboel D, Schwab M, de Wildt SN. Development of Human Membrane Transporters: Drug Disposition and Pharmacogenetics. Clin Pharmacokinet 2016; 55:507-24. [PMID: 26410689 PMCID: PMC4823323 DOI: 10.1007/s40262-015-0328-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Membrane transporters play an essential role in the transport of endogenous and exogenous compounds, and consequently they mediate the uptake, distribution, and excretion of many drugs. The clinical relevance of transporters in drug disposition and their effect in adults have been shown in drug–drug interaction and pharmacogenomic studies. Little is known, however, about the ontogeny of human membrane transporters and their roles in pediatric pharmacotherapy. As they are involved in the transport of endogenous substrates, growth and development may be important determinants of their expression and activity. This review presents an overview of our current knowledge on human membrane transporters in pediatric drug disposition and effect. Existing pharmacokinetic and pharmacogenetic data on membrane substrate drugs frequently used in children are presented and related, where possible, to existing ex vivo data, providing a basis for developmental patterns for individual human membrane transporters. As data for individual transporters are currently still scarce, there is a striking information gap regarding the role of human membrane transporters in drug therapy in children.
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Affiliation(s)
- Miriam G Mooij
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands
| | - Anne T Nies
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tuebingen, Tuebingen, Germany
| | - Catherijne A J Knibbe
- Faculty of Science, Leiden Academic Centre for Research, Pharmacology, Leiden, The Netherlands.,Hospital Pharmacy and Clinical Pharmacology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tuebingen, Tuebingen, Germany
| | - Dick Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,Department of Clinical Pharmacology, University Hospital Tuebingen, Tuebingen, Germany
| | - Saskia N de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands.
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47
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Gadkar K, Kirouac D, Parrott N, Ramanujan S. Quantitative systems pharmacology: a promising approach for translational pharmacology. DRUG DISCOVERY TODAY. TECHNOLOGIES 2016; 21-22:57-65. [PMID: 27978989 DOI: 10.1016/j.ddtec.2016.11.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Revised: 11/01/2016] [Accepted: 11/01/2016] [Indexed: 11/18/2022]
Abstract
Biopharmaceutical companies have increasingly been exploring Quantitative Systems Pharmacology (QSP) as a potential avenue to address current challenges in drug development. In this paper, we discuss the application of QSP modeling approaches to address challenges in the translational of preclinical findings to the clinic, a high risk area of drug development. Three cases have been highlighted with QSP models utilized to inform different questions in translational pharmacology. In the first, a mechanism based asthma model is used to evaluate efficacy and inform biomarker strategy for a novel bispecific antibody. In the second case study, a mitogen-activated protein kinase (MAPK) pathway signaling model is used to make translational predictions on clinical response and evaluate novel combination therapies. In the third case study, a physiologically based pharmacokinetic (PBPK) model it used to guide administration of oseltamivir in pediatric patients.
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Affiliation(s)
- K Gadkar
- Development Sciences, Genentech, United States.
| | - D Kirouac
- Development Sciences, Genentech, United States
| | - N Parrott
- Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Center Basel, Switzerland
| | - S Ramanujan
- Development Sciences, Genentech, United States
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48
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Jorga K, Chavanne C, Frey N, Lave T, Lukacova V, Parrott N, Peck R, Reigner B. Bottom-up Meets Top-down: Complementary Physiologically Based Pharmacokinetic and Population Pharmacokinetic Modeling for Regulatory Approval of a Dosing Algorithm of Valganciclovir in Very Young Children. Clin Pharmacol Ther 2016; 100:761-769. [PMID: 27530217 DOI: 10.1002/cpt.449] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 08/01/2016] [Accepted: 08/10/2016] [Indexed: 01/28/2023]
Abstract
Population pharmacokinetic (PopPK) and physiologically based pharmacokinetic (PBPK) models are frequently used to support pediatric drug development. Both methods have strengths and limitations and we used them complementarily to support the regulatory approval of a dosing algorithm for valganciclovir (VGCV) in children <4 months old. An existing pediatric PBPK model was extended to neonates and showed that potential physiological differences compared with older children are minor. The PopPK model was used to simulate ganciclovir (GCV) exposures in children with population typical combinations of body size and renal function and to assess the effectiveness of an alternative dosing algorithm suggested by the US Food and Drug Administration. PBPK and PopPK confirmed that the proposed VGCV dosing algorithm achieves similar GCV exposures in children of all ages and that the alternative dosing algorithm leads to underexposure in a substantial fraction of patients. Our approach raised the confidence in the VGCV dosing algorithm for children <4 months old and supported the regulatory approval.
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Affiliation(s)
- K Jorga
- KarinJorga Life Science Consulting GmbH, Basel, Switzerland
| | - C Chavanne
- Pharma Research & Development, Clinical Pharmacology, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - N Frey
- Pharma Research & Development, Clinical Pharmacology, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - T Lave
- Pharma Research & Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - V Lukacova
- SimulationsPlus, Inc., Lancaster, California, USA
| | - N Parrott
- Pharma Research & Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - R Peck
- Pharma Research & Development, Clinical Pharmacology, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - B Reigner
- Pharma Research & Development, Clinical Pharmacology, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
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49
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Zhuang X, Lu C. PBPK modeling and simulation in drug research and development. Acta Pharm Sin B 2016; 6:430-440. [PMID: 27909650 PMCID: PMC5125732 DOI: 10.1016/j.apsb.2016.04.004] [Citation(s) in RCA: 225] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 04/25/2016] [Accepted: 04/26/2016] [Indexed: 01/13/2023] Open
Abstract
Physiologically based pharmacokinetic (PBPK) modeling and simulation can be used to predict the pharmacokinetic behavior of drugs in humans using preclinical data. It can also explore the effects of various physiologic parameters such as age, ethnicity, or disease status on human pharmacokinetics, as well as guide dose and dose regiment selection and aid drug-drug interaction risk assessment. PBPK modeling has developed rapidly in the last decade within both the field of academia and the pharmaceutical industry, and has become an integral tool in drug discovery and development. In this mini-review, the concept and methodology of PBPK modeling are briefly introduced. Several case studies were discussed on how PBPK modeling and simulation can be utilized through various stages of drug discovery and development. These case studies are from our own work and the literature for better understanding of the absorption, distribution, metabolism and excretion (ADME) of a drug candidate, and the applications to increase efficiency, reduce the need for animal studies, and perhaps to replace clinical trials. The regulatory acceptance and industrial practices around PBPK modeling and simulation is also discussed.
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Affiliation(s)
- Xiaomei Zhuang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing
Institute of Pharmacology and Toxicology, Beijing 100850, China
| | - Chuang Lu
- Department of DMPK, Biogen, Inc., Cambridge, MA 02142, USA
- Corresponding author. Tel.: +1 6176793365.
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50
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Alqahtani S, Kaddoumi A. Development of a physiologically based pharmacokinetic/pharmacodynamic model to identify mechanisms contributing to entacapone low bioavailability. Biopharm Drug Dispos 2015; 36:587-602. [DOI: 10.1002/bdd.1986] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Revised: 04/23/2015] [Accepted: 08/16/2015] [Indexed: 11/08/2022]
Affiliation(s)
- Saeed Alqahtani
- Department of Basic Pharmaceutical Sciences, School of Pharmacy; University of Louisiana at Monroe; Monroe LA 71201 USA
| | - Amal Kaddoumi
- Department of Basic Pharmaceutical Sciences, School of Pharmacy; University of Louisiana at Monroe; Monroe LA 71201 USA
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