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Stroe MS, Huang MC, Annaert P, Leys K, Smits A, Allegaert K, Van Bockstal L, Valenzuela A, Ayuso M, Van Ginneken C, Van Cruchten S. Drug Disposition in Neonatal Göttingen Minipigs: Exploring Effects of Perinatal Asphyxia and Therapeutic Hypothermia. Drug Metab Dispos 2024; 52:824-835. [PMID: 38906699 DOI: 10.1124/dmd.124.001677] [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: 02/01/2024] [Revised: 04/25/2024] [Accepted: 05/29/2024] [Indexed: 06/23/2024] Open
Abstract
Asphyxiated neonates often undergo therapeutic hypothermia (TH) to reduce morbidity and mortality. Since both perinatal asphyxia (PA) and TH influence physiology, altered pharmacokinetics (PK) and pharmacodynamics (PD) are expected. Given that TH is the standard of care for PA with moderate to severe hypoxic-ischemic encephalopathy, disentangling the effect of PA versus TH on PK/PD is not possible in clinical settings. However, animal models can provide insights into this matter. The (neonatal) Göttingen Minipig, the recommended strain for nonclinical drug development, was selected as translational model. Four drugs-midazolam (MDZ), fentanyl (FNT), phenobarbital (PHB), and topiramate (TPM)-were intravenously administered under four conditions: control (C), therapeutic hypothermia (TH), hypoxia (H), and hypoxia plus TH (H+TH). Each group included six healthy male neonatal Göttingen Minipigs anesthetized for 24 hours. Blood samples were drawn at 0 (predose) and 0.5, 2, 2.5, 3, 4, 4.5, 6, 8, 12, and 24 hours post drug administration. Drug plasma concentrations were determined using validated bioanalytical assays. The PK parameters were estimated through compartmental and noncompartmental PK analysis. The study showed a statistically significant decrease in FNT clearance (CL; 66% decrease), with an approximately threefold longer half-life (t1/2) in the TH group. The H+TH group showed a 17% reduction in FNT CL, with a 62% longer t1/2 compared with the C group; however, it was not statistically significant. Although not statistically significant, trends toward lower CL and longer t1/2 were observed in the TH and H+TH groups for MDZ and PHB. Additionally, TPM demonstrated a 28% decrease in CL in the H group compared with controls. SIGNIFICANCE STATEMENT: The overarching goal of this study using the neonatal Göttingen Minipig model was to disentangle the effects of systemic hypoxia and TH on PK using four model drugs. Such insights can subsequently be used to inform and develop a physiologically based pharmacokinetic model, which is useful for drug exposure prediction in human neonates.
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Affiliation(s)
- Marina-Stefania Stroe
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Miao-Chan Huang
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Pieter Annaert
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Karen Leys
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Anne Smits
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Karel Allegaert
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Lieselotte Van Bockstal
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Allan Valenzuela
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Miriam Ayuso
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Chris Van Ginneken
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
| | - Steven Van Cruchten
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium (M.S.-S., L.V.B., A.V., M.A., C.V.G., S.V.C.); Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium (M.-C.H., P.A., K.L.); BioNotus GCV, Niel, Belgium (P.A.); Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium (A.S.); Departments of Development and Regeneration (A.S., K.A.) and Pharmaceutical and Pharmacological Sciences (K.A.), KU Leuven, Leuven, Belgium; and Department of Hospital Pharmacy, Erasmus MC, Rotterdam, the Netherlands (K.A.)
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Stroe MS, Van Bockstal L, Valenzuela A, Ayuso M, Leys K, Annaert P, Carpentier S, Smits A, Allegaert K, Zeltner A, Mulder A, Van Ginneken C, Van Cruchten S. Development of a neonatal Göttingen Minipig model for dose precision in perinatal asphyxia: technical opportunities, challenges, and potential further steps. Front Pediatr 2023; 11:1163100. [PMID: 37215599 PMCID: PMC10195037 DOI: 10.3389/fped.2023.1163100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 04/21/2023] [Indexed: 05/24/2023] Open
Abstract
Animal models provide useful information on mechanisms in human disease conditions, but also on exploring (patho)physiological factors affecting pharmacokinetics, safety, and efficacy of drugs in development. Also, in pediatric patients, nonclinical data can be critical for better understanding the disease conditions and developing new drug therapies in this age category. For perinatal asphyxia (PA), a condition defined by oxygen deprivation in the perinatal period and possibly resulting in hypoxic ischemic encephalopathy (HIE) or even death, therapeutic hypothermia (TH) together with symptomatic drug therapy, is the standard approach to reduce death and permanent brain damage in these patients. The impact of the systemic hypoxia during PA and/or TH on drug disposition is largely unknown and an animal model can provide useful information on these covariates that cannot be assessed separately in patients. The conventional pig is proven to be a good translational model for PA, but pharmaceutical companies do not use it to develop new drug therapies. As the Göttingen Minipig is the commonly used pig strain in nonclinical drug development, the aim of this project was to develop this animal model for dose precision in PA. This experiment consisted of the instrumentation of 24 healthy male Göttingen Minipigs, within 24 h of partus, weighing approximately 600 g, to allow the mechanical ventilation and the multiple vascular catheters inserted for maintenance infusion, drug administration and blood sampling. After premedication and induction of anesthesia, an experimental protocol of hypoxia was performed, by decreasing the inspiratory oxygen fraction (FiO2) at 15%, using nitrogen gas. Blood gas analysis was used as an essential tool to evaluate oxygenation and to determine the duration of the systemic hypoxic insult to approximately 1 h. The human clinical situation was mimicked for the first 24 h after birth in case of PA, by administering four compounds (midazolam, phenobarbital, topiramate and fentanyl), frequently used in a neonatal intensive care unit (NICU). This project aimed to develop the first neonatal Göttingen Minipig model for dose precision in PA, allowing to separately study the effect of systemic hypoxia versus TH on drug disposition. Furthermore, this study showed that several techniques that were thought to be challenging or even impossible in these very small animals, such as endotracheal intubation and catheterization of several veins, are feasible by trained personnel. This is relevant information for laboratories using the neonatal Göttingen Minipig for other disease conditions or drug safety testing.
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Affiliation(s)
| | | | - Allan Valenzuela
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium
| | - Miriam Ayuso
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium
| | - Karen Leys
- Drug Delivery and Disposition, KU Leuven, Leuven, Belgium
| | - Pieter Annaert
- Drug Delivery and Disposition, KU Leuven, Leuven, Belgium
- BioNotus GCV, Niel, Belgium
| | | | - Anne Smits
- Neonatal Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, 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, Rotterdam, Netherlands
| | | | - Antonius Mulder
- Neonatal Intensive Care Unit, Antwerp University Hospital, Antwerp, Belgium
| | - Chris Van Ginneken
- Comparative Perinatal Development, University of Antwerp, Antwerp, Belgium
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Wu F, Zhou Y, Li L, Shen X, Chen G, Wang X, Liang X, Tan M, Huang Z. Computational Approaches in Preclinical Studies on Drug Discovery and Development. Front Chem 2020; 8:726. [PMID: 33062633 PMCID: PMC7517894 DOI: 10.3389/fchem.2020.00726] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 07/14/2020] [Indexed: 12/11/2022] Open
Abstract
Because undesirable pharmacokinetics and toxicity are significant reasons for the failure of drug development in the costly late stage, it has been widely recognized that drug ADMET properties should be considered as early as possible to reduce failure rates in the clinical phase of drug discovery. Concurrently, drug recalls have become increasingly common in recent years, prompting pharmaceutical companies to increase attention toward the safety evaluation of preclinical drugs. In vitro and in vivo drug evaluation techniques are currently more mature in preclinical applications, but these technologies are costly. In recent years, with the rapid development of computer science, in silico technology has been widely used to evaluate the relevant properties of drugs in the preclinical stage and has produced many software programs and in silico models, further promoting the study of ADMET in vitro. In this review, we first introduce the two ADMET prediction categories (molecular modeling and data modeling). Then, we perform a systematic classification and description of the databases and software commonly used for ADMET prediction. We focus on some widely studied ADMT properties as well as PBPK simulation, and we list some applications that are related to the prediction categories and web tools. Finally, we discuss challenges and limitations in the preclinical area and propose some suggestions and prospects for the future.
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Affiliation(s)
- Fengxu Wu
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, China
| | - Yuquan Zhou
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Langhui Li
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Xianhuan Shen
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Ganying Chen
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Xiaoqing Wang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Xianyang Liang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Mengyuan Tan
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Zunnan Huang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
- Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China
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