Integration of Placental Transfer in a Fetal–Maternal Physiologically Based Pharmacokinetic Model to Characterize Acetaminophen Exposure and Metabolic Clearance in the Fetus
Abstract:Background and Objective Although acetaminophen is frequently used during pregnancy, little is known about fetal acetaminophen pharmacokinetics. Acetaminophen safety evaluation has typically focused on hepatotoxicity, while other events (fetal ductal closure/constriction) are also relevant. We aimed to develop a fetal-maternal physiologically based pharmacokinetic (PBPK) model (f-m PBPK) to quantitatively predict placental acetaminophen transfer, characterize fetal acetaminophen exposure, and quantify the cont… Show more
“…A number of PBPK models that have been verified for maternalfetal transfer of drug are available and may assist in risk-benefit assessments of drug treatment. [186][187][188] Furthermore, PBPK models that have been verified for lactation can also help predict potential neonatal/infant exposures to drugs and be weighed against findings in toxicology studies.…”
Model‐informed drug development (MIDD) has a long and rich history in infectious diseases. This review describes foundational principles of translational anti‐infective pharmacology, including choice of appropriate measures of exposure and pharmacodynamic (PD) measures, patient subpopulations, and drug‐drug interactions. Examples are presented for state‐of‐the‐art, empiric, mechanistic, interdisciplinary, and real‐world evidence MIDD applications in the development of antibacterials (review of minimum inhibitory concentration‐based models, mechanism‐based pharmacokinetic/PD (PK/PD) models, PK/PD models of resistance, and immune response), antifungals, antivirals, drugs for the treatment of global health infectious diseases, and medical countermeasures. The degree of adoption of MIDD practices across the infectious diseases field is also summarized. The future application of MIDD in infectious diseases will progress along two planes; “depth” and “breadth” of MIDD methods. “MIDD depth” refers to deeper incorporation of the specific pathogen biology and intrinsic and acquired‐resistance mechanisms; host factors, such as immunologic response and infection site, to enable deeper interrogation of pharmacological impact on pathogen clearance; clinical outcome and emergence of resistance from a pathogen; and patient and population perspective. In particular, improved early assessment of the emergence of resistance potential will become a greater focus in MIDD, as this is poorly mitigated by current development approaches. “MIDD breadth” refers to greater adoption of model‐centered approaches to anti‐infective development. Specifically, this means how various MIDD approaches and translational tools can be integrated or connected in a systematic way that supports decision making by key stakeholders (sponsors, regulators, and payers) across the entire development pathway.
“…A number of PBPK models that have been verified for maternalfetal transfer of drug are available and may assist in risk-benefit assessments of drug treatment. [186][187][188] Furthermore, PBPK models that have been verified for lactation can also help predict potential neonatal/infant exposures to drugs and be weighed against findings in toxicology studies.…”
Model‐informed drug development (MIDD) has a long and rich history in infectious diseases. This review describes foundational principles of translational anti‐infective pharmacology, including choice of appropriate measures of exposure and pharmacodynamic (PD) measures, patient subpopulations, and drug‐drug interactions. Examples are presented for state‐of‐the‐art, empiric, mechanistic, interdisciplinary, and real‐world evidence MIDD applications in the development of antibacterials (review of minimum inhibitory concentration‐based models, mechanism‐based pharmacokinetic/PD (PK/PD) models, PK/PD models of resistance, and immune response), antifungals, antivirals, drugs for the treatment of global health infectious diseases, and medical countermeasures. The degree of adoption of MIDD practices across the infectious diseases field is also summarized. The future application of MIDD in infectious diseases will progress along two planes; “depth” and “breadth” of MIDD methods. “MIDD depth” refers to deeper incorporation of the specific pathogen biology and intrinsic and acquired‐resistance mechanisms; host factors, such as immunologic response and infection site, to enable deeper interrogation of pharmacological impact on pathogen clearance; clinical outcome and emergence of resistance from a pathogen; and patient and population perspective. In particular, improved early assessment of the emergence of resistance potential will become a greater focus in MIDD, as this is poorly mitigated by current development approaches. “MIDD breadth” refers to greater adoption of model‐centered approaches to anti‐infective development. Specifically, this means how various MIDD approaches and translational tools can be integrated or connected in a systematic way that supports decision making by key stakeholders (sponsors, regulators, and payers) across the entire development pathway.
“…The values predicted by incorporating data from ex vivo cotyledon perfusion experiments in the model were in line with the observed cord blood data. 56 An existing p-PBPK model for acetaminophen was modified by Mian et al 65 to incorporate a fetal component. The placental transfer was evaluated by either ex vivo cotyledon perfusion experiments or scaling based on Caco-2 cell permeability experiments, physicochemical properties in MoBi.…”
Section: Application Of Pbpk Modeling To Predict Exposure Of Renally mentioning
confidence: 99%
“…An existing p‐PBPK model for acetaminophen was modified by Mian et al 65 to incorporate a fetal component. The placental transfer was evaluated by either ex vivo cotyledon perfusion experiments or scaling based on Caco‐2 cell permeability experiments, physicochemical properties in MoBi.…”
Pregnancy is associated with several physiological changes that can alter the pharmacokinetics (PK) and pharmacodynamics of drugs. These may require dosing changes in pregnant women to achieve drug exposures comparable to the nonpregnant population. There is, however, limited information available on the PK and pharmacodynamics of drugs used during pregnancy. Practical difficulties in performing PK studies and potential liability issues are often the reasons for the availability of limited information. Over the past several years, there has been a rapid development in the application of various modeling strategies such as population PK and physiologically based PK modeling to provide guidance on drug dosing in this special patient population. Population PK models rely on measured PK data, whereas physiologically based PK models integrate physiological, preclinical, and clinical data to quantify changes in PK of drugs in various patient populations. These modeling strategies offer a promising approach to identify the drugs with PK changes during pregnancy and guide dose adjustment in pregnant women. This review focuses on PBPK modeling to guide drug therpay in pregnancy.
“…Lastly, we would like to advocate using appropriate dosing of acetaminophen in pregnant women and their newborns as we still consider this as a “real” drug with effects and potential side effects [18, 19]. This suggestion is in line with a recently revised summary of product characteristics (the leaflet) for acetaminophen by the European Medicine Agency.…”
mentioning
confidence: 98%
“…We would like to conclude that at this moment there is no reason to discontinue the use of acetaminophen in pregnant women and their neonates because the alternative, the use of opioids, has proven to result in a dramatic increase in opioid-addicted neonates across many countries worldwide, while exposure to other nonsteroidal anti-inflammatory drugs like ibuprofen or indomethacin is associated with a much higher risk for fetal ductal closure when compared to acetaminophen [17]. Lastly, we would like to advocate using appropriate dosing of acetaminophen in pregnant women and their newborns as we still consider this as a "real" drug with effects and potential side effects [18,19]. This suggestion is in line with a recently revised summary of product characteristics (the leaflet) for acetaminophen by the European Medicine Agency.…”
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