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van Hoogdalem MW, Tanaka R, Abduljalil K, Johnson TN, Wexelblatt SL, Akinbi HT, Vinks AA, Mizuno T. Forecasting Fetal Buprenorphine Exposure through Maternal-Fetal Physiologically Based Pharmacokinetic Modeling. Pharmaceutics 2024; 16:375. [PMID: 38543269 PMCID: PMC10975492 DOI: 10.3390/pharmaceutics16030375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/02/2024] [Accepted: 03/06/2024] [Indexed: 04/01/2024] Open
Abstract
Buprenorphine readily crosses the placenta, and with greater prenatal exposure, neonatal opioid withdrawal syndrome (NOWS) likely grows more severe. Current dosing strategies can be further improved by tailoring doses to expected NOWS severity. To allow the conceptualization of fetal buprenorphine exposure, a maternal-fetal physiologically based pharmacokinetic (PBPK) model for sublingual buprenorphine was developed using Simcyp (v21.0). Buprenorphine transplacental passage was predicted from its physicochemical properties. The maternal-fetal PBPK model integrated reduced transmucosal absorption driven by lower salivary pH and induced metabolism observed during pregnancy. Maternal pharmacokinetics was adequately predicted in the second trimester, third trimester, and postpartum period, with the simulated area under the curve from 0 to 12 h, apparent clearance, and peak concentration falling within the 1.25-fold prediction error range. Following post hoc adjustment of the likely degree of individual maternal sublingual absorption, umbilical cord blood concentrations at delivery (n = 21) were adequately predicted, with a geometric mean ratio between predicted and observed fetal concentrations of 1.15 and with 95.2% falling within the 2-fold prediction error range. The maternal-fetal PBPK model developed in this study can be used to forecast fetal buprenorphine exposure and would be valuable to investigate its correlation to NOWS severity.
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Affiliation(s)
- Matthijs W. van Hoogdalem
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (M.W.v.H.); (R.T.); (A.A.V.)
- James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH 45229, USA
| | - Ryota Tanaka
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (M.W.v.H.); (R.T.); (A.A.V.)
| | - Khaled Abduljalil
- Certara UK Limited, Simcyp Division, Sheffield S1 2BJ, UK; (K.A.); (T.N.J.)
| | - Trevor N. Johnson
- Certara UK Limited, Simcyp Division, Sheffield S1 2BJ, UK; (K.A.); (T.N.J.)
| | - Scott L. Wexelblatt
- Division of Neonatology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (S.L.W.); (H.T.A.)
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
- Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Henry T. Akinbi
- Division of Neonatology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (S.L.W.); (H.T.A.)
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Alexander A. Vinks
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (M.W.v.H.); (R.T.); (A.A.V.)
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
- Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Tomoyuki Mizuno
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (M.W.v.H.); (R.T.); (A.A.V.)
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
- Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
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Tikhomirov M, Jajor P, Śniegocki T, Poźniak B. Predicting the efficacy of opioid sequestration by intravenous lipid emulsion using biologically relevant in vitro models of drug distribution. Sci Rep 2022; 12:18683. [PMID: 36333363 PMCID: PMC9636243 DOI: 10.1038/s41598-022-21790-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
Intravenous lipid emulsions (ILE), among other uses, are utilized in the treatment of poisonings caused by lipophilic substances. The body of evidence regarding the benefits of this treatment is growing but information about opioids-ILE interaction is still very scarce. In this work, the impact of ILE on the distribution of buprenorphine, fentanyl and butorphanol used in various concentrations (100-500 ng/ml) was investigated. Two different in vitro models were used: disposition of the drugs in plasma after ultracentrifugation and distribution into the simulated biophase (cell monolayer of 3T3 fibroblasts or J774.E macrophages). We confirmed the ability of ILE to sequester the three drugs of interest which results in their decrease in the aqueous part of the plasma by 34.2-38.2%, 11.7-28.5% and 6.0-15.5% for buprenorphine, fentanyl and butorphanol, respectively. Moreover, ILE affected the drug distribution to the biophase in vitro, however, in this case the drug concentration in cells decreased by 97.3 ± 3.1%, 28.6 ± 5.4% and 13.0 ± 7.5% for buprenorphine, fentanyl and butorphanol, respectively. The two models revealed notable differences in ILE's potential for drug sequestration, especially for buprenorphine. Similar, but not as pronounced tendencies were observed for the two other drugs. These discrepancies may result from the difference in protein abundance and resulting drug-protein binding in both systems. Nevertheless, the results obtained with both in vitro models correlated well with the partition coefficient (logP) values for these drugs.
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Affiliation(s)
- Marta Tikhomirov
- Faculty of Veterinary Medicine, Department of Pharmacology and Toxicology, Wroclaw University of Environmental and Life Sciences, 50-375, Wrocław, Poland
| | - Paweł Jajor
- Faculty of Veterinary Medicine, Department of Pharmacology and Toxicology, Wroclaw University of Environmental and Life Sciences, 50-375, Wrocław, Poland
| | - Tomasz Śniegocki
- Department of Pharmacology and Toxicology, National Veterinary Research Institute, 24-100, Puławy, Poland
| | - Błażej Poźniak
- Faculty of Veterinary Medicine, Department of Pharmacology and Toxicology, Wroclaw University of Environmental and Life Sciences, 50-375, Wrocław, Poland.
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van Hoogdalem MW, Wexelblatt SL, Akinbi HT, Vinks AA, Mizuno T. A review of pregnancy-induced changes in opioid pharmacokinetics, placental transfer, and fetal exposure: Towards fetomaternal physiologically-based pharmacokinetic modeling to improve the treatment of neonatal opioid withdrawal syndrome. Pharmacol Ther 2021; 234:108045. [PMID: 34813863 DOI: 10.1016/j.pharmthera.2021.108045] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/29/2021] [Accepted: 11/15/2021] [Indexed: 02/07/2023]
Abstract
Physiologically-based pharmacokinetic (PBPK) modeling has emerged as a useful tool to study pharmacokinetics (PK) in special populations, such as pregnant women, fetuses, and newborns, where practical hurdles severely limit the study of drug behavior. PK in pregnant women is variable and everchanging, differing greatly from that in their nonpregnant female and male counterparts typically enrolled in clinical trials. PBPK models can accommodate pregnancy-induced physiological and metabolic changes, thereby providing mechanistic insights into maternal drug disposition and fetal exposure. Fueled by the soaring opioid epidemic in the United States, opioid use during pregnancy continues to rise, leading to an increased incidence of neonatal opioid withdrawal syndrome (NOWS). The severity of NOWS is influenced by a complex interplay of extrinsic and intrinsic factors, and varies substantially between newborns, but the extent of prenatal opioid exposure is likely the primary driver. Fetomaternal PBPK modeling is an attractive approach to predict in utero opioid exposure. To facilitate the development of fetomaternal PBPK models of opioids, this review provides a detailed overview of pregnancy-induced changes affecting the PK of commonly used opioids during gestation. Moreover, the placental transfer of these opioids is described, along with their disposition in the fetus. Lastly, the implementation of these factors into PBPK models is discussed. Fetomaternal PBPK modeling of opioids is expected to provide improved insights in fetal opioid exposure, which allows for prediction of postnatal NOWS severity, thereby opening the way for precision postnatal treatment of these vulnerable infants.
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Affiliation(s)
- Matthijs W van Hoogdalem
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, USA
| | - Scott L Wexelblatt
- Perinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA; Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Henry T Akinbi
- Perinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Alexander A Vinks
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA; Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Tomoyuki Mizuno
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA; Center for Addiction Research, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
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Cohier C, Chevillard L, Salle S, Risède P, Roussel O, Mégarbane B. Editor’s Highlight: Neurorespiratory Effects of Buprenorphine and Ethanol in Combination: A Mechanistic Study of Drug–Drug Interactions in the Rat. Toxicol Sci 2016; 155:389-399. [DOI: 10.1093/toxsci/kfw221] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Rodriguez EA, Li X, Lehmler HJ, Robertson LW, Duffel MW. Sulfation of Lower Chlorinated Polychlorinated Biphenyls Increases Their Affinity for the Major Drug-Binding Sites of Human Serum Albumin. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:5320-7. [PMID: 27116425 PMCID: PMC4883002 DOI: 10.1021/acs.est.6b00484] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The disposition of toxicants is often affected by their binding to serum proteins, of which the most abundant in humans is serum albumin (HSA). There is increasing interest in the toxicities of environmentally persistent polychlorinated biphenyls (PCBs) with lower numbers of chlorine atoms (LC-PCBs) due to their presence in both indoor and outdoor air. PCB sulfates derived from metabolic hydroxylation and sulfation of LC-PCBs have been implicated in endocrine disruption due to high affinity-binding to the thyroxine-carrying protein, transthyretin. Interactions of these sulfated metabolites of LC-PCBs with HSA, however, have not been previously explored. We have now determined the relative HSA-binding affinities for a group of LC-PCBs and their hydroxylated and sulfated derivatives by selective displacement of the fluorescent probes 5-dimethylamino-1-naphthalenesulfonamide and dansyl-l-proline from the two major drug-binding sites on HSA (previously designated as Site I and Site II). Values for half-maximal displacement of the probes indicated that the relative binding affinities were generally PCB sulfate ≥ OH-PCB > PCB, although this affinity was site- and congener-selective. Moreover, specificity for Site II increased as the numbers of chlorine atoms increased. Thus, hydroxylation and sulfation of LC-PCBs result in selective interactions with HSA which may affect their overall retention and toxicity.
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Affiliation(s)
- Eric A. Rodriguez
- Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, The University of Iowa, Iowa City, Iowa, USA
| | - Xueshu Li
- Department of Occupational and Environmental Health, College of Public Health, The University of Iowa, Iowa City, Iowa, USA
| | - Hans-Joachim Lehmler
- Department of Occupational and Environmental Health, College of Public Health, The University of Iowa, Iowa City, Iowa, USA
| | - Larry W. Robertson
- Department of Occupational and Environmental Health, College of Public Health, The University of Iowa, Iowa City, Iowa, USA
| | - Michael W. Duffel
- Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, The University of Iowa, Iowa City, Iowa, USA
- Address correspondence to Michael W. Duffel, Ph.D., Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, The University of Iowa, 115 South Grand Ave, S325, Iowa City, IA, 52246. Telephone: 319-335-8840. Fax: 319-335-8766.
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Bapat P, Pinto LSR, Lubetsky A, Berger H, Koren G. Rivaroxaban transfer across the dually perfused isolated human placental cotyledon. Am J Obstet Gynecol 2015; 213:710.e1-6. [PMID: 26164691 DOI: 10.1016/j.ajog.2015.06.065] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2015] [Revised: 05/21/2015] [Accepted: 06/30/2015] [Indexed: 01/07/2023]
Abstract
OBJECTIVE The purpose of this study was to determine the rate and extent of rivaroxaban transfer across the term human placenta and determine whether passive diffusion was the primary mechanism involved in this transfer. STUDY DESIGN The transplacental pharmacokinetics of rivaroxaban was determined with the ex-vivo placenta perfusion model. Rivaroxaban was added to the maternal or fetal circulation only (250 ng/mL). Additional experiments were conducted under equilibrative conditions with the addition of rivaroxaban to both the maternal and fetal circulations (250 ng/mL). Rivaroxaban concentrations were measured with the use of liquid chromatography-tandem mass spectrometry. RESULTS There was rapid transfer of rivaroxaban across the human placenta in both the maternal-to-fetal and fetal-to-maternal directions, as evidenced by transfer ratios of 0.69 (interquartile range, 0.58-0.73; n = 5) and 0.69 (interquartile range, 0.67-0.71; n = 2), respectively, after 3 hours. Under equilibrative conditions (n = 2), rivaroxaban concentrations remained relatively constant, which suggests that rivaroxaban crosses the placenta down a concentration gradient. CONCLUSION This is the first direct evidence of rivaroxaban transfer across the term human placenta from both the mother-to-fetus and fetus-to-mother directions. Our results document that unbound rivaroxaban rapidly crosses the placental barrier via passive diffusion. However, because rivaroxaban is highly bound to plasma proteins (up to 95%), this suggests that the amount of unbound drug that may reach the fetus is likely much lower. Additional studies will need to explore its safety before administering rivaroxaban to a pregnant woman.
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Affiliation(s)
- Priya Bapat
- Motherisk Program, Division of Clinical Pharmacology, The Hospital for Sick Children, Toronto, ON, Canada; Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Angelika Lubetsky
- Motherisk Program, Division of Clinical Pharmacology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Howard Berger
- Department of Obstetrics and Gynecology, St. Michael's Hospital, Toronto, ON, Canada
| | - Gideon Koren
- Motherisk Program, Division of Clinical Pharmacology, The Hospital for Sick Children, Toronto, ON, Canada; Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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The human placental perfusion model: a systematic review and development of a model to predict in vivo transfer of therapeutic drugs. Clin Pharmacol Ther 2011; 90:67-76. [PMID: 21562489 DOI: 10.1038/clpt.2011.66] [Citation(s) in RCA: 142] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Dual perfusion of a single placental lobule is the only experimental model to study human placental transfer of substances in organized placental tissue. To date, there has not been any attempt at a systematic evaluation of this model. The aim of this study was to systematically evaluate the perfusion model in predicting placental drug transfer and to develop a pharmacokinetic model to account for nonplacental pharmacokinetic parameters in the perfusion results. In general, the fetal-to-maternal drug concentration ratios matched well between placental perfusion experiments and in vivo samples taken at the time of delivery of the infant. After modeling for differences in maternal and fetal/neonatal protein binding and blood pH, the perfusion results were able to accurately predict in vivo transfer at steady state (R² = 0.85, P < 0.0001). Placental perfusion experiments can be used to predict placental drug transfer when adjusting for extra parameters and can be useful for assessing drug therapy risks and benefits in pregnancy.
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