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Berezowska M, Sharma P, Pilla Reddy V, Coppola P. Physiologically Based Pharmacokinetic modelling of drugs in pregnancy: A mini-review on availability and limitations. Fundam Clin Pharmacol 2024; 38:402-409. [PMID: 37968879 DOI: 10.1111/fcp.12967] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/14/2023] [Accepted: 10/17/2023] [Indexed: 11/17/2023]
Abstract
Physiologically based pharmacokinetic (PBPK) modelling in pregnancy is a relatively new approach that is increasingly being used to assess drug systemic exposure in pregnant women to potentially inform dosing adjustments. Physiological changes throughout pregnancy are incorporated into mathematical models to simulate drug disposition in the maternal and fetal compartments as well as the transfer of drugs across the placenta. This mini-review gathers currently available pregnancy PBPK models for drugs commonly used during pregnancy. In addition, information about the main PBPK modelling platforms used, metabolism pathways, drug transporters, data availability and drug labels were collected. The aim of this mini-review is to provide a concise overview, demonstrate trends in the field, highlight understudied areas and identify current gaps of PBPK modelling in pregnancy. Possible future applications of this PBPK approach are discussed from a clinical, regulatory and industry perspective.
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Affiliation(s)
- Monika Berezowska
- Clinical Pharmacology and Quantitative Pharmacology, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Pradeep Sharma
- Clinical Pharmacology and Quantitative Pharmacology, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Venkatesh Pilla Reddy
- Clinical Pharmacology and Quantitative Pharmacology, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Paola Coppola
- Clinical Pharmacology and Quantitative Pharmacology, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK
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Wei LY, Xu ZYR, Lai ZZ, Dong N, Sang YW, Guo Y. Association of oxcarbazepine concentration with seizure frequency in pregnant women with epilepsy. Epilepsy Behav Rep 2023; 25:100640. [PMID: 38235017 PMCID: PMC10792750 DOI: 10.1016/j.ebr.2023.100640] [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: 10/02/2023] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 01/19/2024] Open
Abstract
The management of epilepsy during pregnancy presents particular challenges for neurologists worldwide. Currently, there are no clear recommendations for oxcarbazepine (OXC) specific target concentration during pregnancy. We conducted this retrospective observational cohort study on pregnant women with epilepsy (WWE) who received OXC monotherapy or polytherapy, at the epilepsy outpatient clinic of a tertiary hospital in eastern China. Sixteen pregnancies of 16 WWE were split into the seizure-free group or the non-seizure-free group, according to whether they had been seizure free for more than one year prior to conception or not. There was a significantly decrease in OXC concentration throughout pregnancy, as indicated by the concentration/dose ratio and the ratio of target concentration (RTC). The second trimester of pregnancy was the period when seizure deterioration occurred the most, particularly in the non-seizure-free group. Lower RTC_OXC was identified to be a risk factor for increasing seizure frequency in both the total group and the non-seizure-free group in both univariate and multivariate analysis, with a threshold of 0.575 for differentiating patients at high-risk and low-risk for seizure deterioration. In conclusion, this study suggested an OXC concentration threshold of 0.575 during pregnancy for assisting neurologists in OXC drug monitoring and dose adaptation.
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Affiliation(s)
- Lin-yan Wei
- Department of General Practice and International Medicine, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zheng-yan-ran Xu
- Department of Neurology, Epilepsy Center, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zhen-zhen Lai
- Department of Neurology, Tiantai People's Hospital, Taizhou, China
| | - Na Dong
- Department of Special Inspection, Shaoxing People's Hospital, Shaoxing, China
| | - Yi-wen Sang
- Department of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Guo
- Department of General Practice and International Medicine, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Department of Neurology, Epilepsy Center, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou, China
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Chen J, Lin R, Guo G, Wu W, Ke M, Ke C, Huang P, Lin C. Physiologically-Based Pharmacokinetic Modeling of Anti-Tumor Necrosis Factor Agents for Inflammatory Bowel Disease Patients to Predict the Withdrawal Time in Pregnancy and Vaccine Time in Infants. Clin Pharmacol Ther 2023; 114:1254-1263. [PMID: 37620249 DOI: 10.1002/cpt.3031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023]
Abstract
Anti-tumor necrosis factor (anti-TNF) agents are widely applied for patients with inflammatory bowel disease (IBD); however, the timing of the last dosing for IBD pregnancy and time to elimination in anti-TNF agent-exposed infants is controversial. This study aimed to determine the optimal timing for the last dosing of anti-TNF agents (infliximab, adalimumab, and golimumab) in pregnant women with IBD, as well as to investigate the recommended vaccine schedules for infants exposed to these drugs. A physiologically-based pharmacokinetic (PBPK) model of anti-TNF agents was built for adults and extrapolated to pregnant patients, fetuses, and infants. The PBPK models successfully predicted and verified the pharmacokinetics (PKs) of infliximab, adalimumab, and golimumab in pregnancy, fetuses, and infants. The predicted PK data were within two-fold of the observed data. The simulated results were used as timing advice. According to the dose of administration, the suggested timing of the last dosing for infliximab, adalimumab, and golimumab is successfully provided based on PBPK predictions. PBPK models indicated that, for infants, the advocated timing of vaccination is 12, 8, and 5 months after birth for infliximab, adalimumab, and golimumab, respectively. Our study illustrated that PBPK models can provide a valuable tool to predict the PKs of large macromolecules in pregnant women, fetuses, and infants, ultimately informing drug-treatment decisions for pregnancy and vaccination regimens for infants.
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Affiliation(s)
- Jiarui Chen
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Rongfang Lin
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Guimu Guo
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wanhong Wu
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Meng Ke
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Chengjie Ke
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Pinfang Huang
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Cuihong Lin
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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