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Di L. Recent advances in measurement of metabolic clearance, metabolite profile and reaction phenotyping of low clearance compounds. Expert Opin Drug Discov 2023; 18:1209-1219. [PMID: 37526497 DOI: 10.1080/17460441.2023.2238606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/17/2023] [Indexed: 08/02/2023]
Abstract
INTRODUCTION Low metabolic clearance is usually a highly desirable property of drug candidates in order to reduce dose and dosing frequency. However, measurement of low clearance can be challenging in drug discovery. A number of new tools have recently been developed to address the gaps in the measurement of intrinsic clearance, identification of metabolites, and reaction phenotyping of low clearance compounds. AREAS COVERED The new methodologies of low clearance measurements are discussed, including the hepatocyte relay, HepatoPac®, HμREL®, and spheroid systems. In addition, metabolite formation rate determination and in vivo allometric scaling approaches are covered as alternative methods for low clearance measurements. With these new methods, measurement of ~ 20-fold lower limit of intrinsic clearance can be achieved. The advantages and limitations of each approach are highlighted. EXPERT OPINION Although several novel methods have been developed in recent years to address the challenges of low clearance, these assays tend to be time and labor intensive and costly. Future innovations focusing on developing systems with high enzymatic activities, ultra-sensitive universal quantifiable detectors, and artificial intelligence will further enhance our ability to explore the low clearance space.
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Affiliation(s)
- Li Di
- Research Fellow, Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, USA
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2
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Fu J, Qiu H, Tan CS. Microfluidic Liver-on-a-Chip for Preclinical Drug Discovery. Pharmaceutics 2023; 15:pharmaceutics15041300. [PMID: 37111785 PMCID: PMC10141038 DOI: 10.3390/pharmaceutics15041300] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/31/2023] [Accepted: 04/18/2023] [Indexed: 04/29/2023] Open
Abstract
Drug discovery is an expensive, long, and complex process, usually with a high degree of uncertainty. In order to improve the efficiency of drug development, effective methods are demanded to screen lead molecules and eliminate toxic compounds in the preclinical pipeline. Drug metabolism is crucial in determining the efficacy and potential side effects, mainly in the liver. Recently, the liver-on-a-chip (LoC) platform based on microfluidic technology has attracted widespread attention. LoC systems can be applied to predict drug metabolism and hepatotoxicity or to investigate PK/PD (pharmacokinetics/pharmacodynamics) performance when combined with other artificial organ-on-chips. This review discusses the liver physiological microenvironment simulated by LoC, especially the cell compositions and roles. We summarize the current methods of constructing LoC and the pharmacological and toxicological application of LoC in preclinical research. In conclusion, we also discussed the limitations of LoC in drug discovery and proposed a direction for improvement, which may provide an agenda for further research.
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Affiliation(s)
- Jingyu Fu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Hailong Qiu
- Tianjin Key Laboratory of Functional Crystal Materials, Institute of Functional Crystal, Tianjin University of Technology, Tianjin 300384, China
| | - Cherie S Tan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
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Gao D, Wang G, Wu H, Wu J, Zhao X. Prediction for Plasma Trough Concentration and Optimal Dosing of Imatinib under Multiple Clinical Situations Using Physiologically Based Pharmacokinetic Modeling. ACS OMEGA 2023; 8:13741-13753. [PMID: 37091368 PMCID: PMC10116519 DOI: 10.1021/acsomega.2c07967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/23/2023] [Indexed: 05/03/2023]
Abstract
(1) Purpose: This study aimed to develop a physiologically based pharmacokinetic (PBPK) model to predict the trough concentration (C trough) of imatinib (IMA) at steady state in patients and to explore the role of free concentration (f up), α1-acid glycoprotein (AGP) level, and organic cation transporter 1 (OCT1) activity/expression in clinical efficacy. (2) Methods: The population PBPK model was built using physicochemical and biochemical properties, metabolizing and transporting kinetics, tissue distribution, and human physiological parameters. (3) Results: The PBPK model successfully predicted the C trough of IMA administered alone in chronic phase (CP) and accelerated phase (AP) patients, the C trough of IMA co-administered with six modulators, and C trough in CP patients with hepatic impairment. Most of the ratios between predicted and observed data are within 0.70-1.30. Additionally, the recommendations for dosing adjustments for IMA have been given under multiple clinical uses. The sensitivity analysis showed that exploring the f up and AGP level had a significant influence on the plasma C trough of IMA. Meanwhile, the simulations also revealed that OCT1 activity and expression had a significant impact on the intracellular C trough of IMA. (4) Conclusion: The current PBPK model can accurately predict the IMA C trough and provide appropriate dosing adjustment recommendations in a variety of clinical situations.
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Affiliation(s)
- Dongmei Gao
- Department
of Medical Oncology, Bethune International
Peace Hospital, Shijiazhuang 050082, China
| | - Guopeng Wang
- Zhongcai
Health (Beijing) Biological Technology Development Co., Ltd., Beijing 101500, China
| | - Honghai Wu
- Department
of Clinical Pharmacy, Bethune International
Peace Hospital, Shijiazhuang 050082, China
| | - JinHua Wu
- Sichuan
Cancer Hospital & Institute, Sichuan Cancer Center, School of
Medicine, University of Electronic Science
and Technology of China, Chengdu 610041, China
- . Phone: +86
15928616219
| | - Xiaoang Zhao
- Institute
of Chinese Material Medica China Academy of Chinese Medical Sciences, Beijing 100700, China
- . Phone: +86 13811372687
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4
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The next frontier in ADME science: Predicting transporter-based drug disposition, tissue concentrations and drug-drug interactions in humans. Pharmacol Ther 2022; 238:108271. [DOI: 10.1016/j.pharmthera.2022.108271] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 08/05/2022] [Accepted: 08/17/2022] [Indexed: 12/25/2022]
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5
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Li JY, Wang LL, Fan J, Liu DX, Han JB, Zhang YF, Yin DD, Yi YX. New and effective method to develop primary hepatocytes from liver cancer patients. Exp Biol Med (Maywood) 2022; 247:972-981. [PMID: 35470702 DOI: 10.1177/15353702221085534] [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: 12/24/2022] Open
Abstract
Liver cancer (LC) is one of the most common malignant tumors worldwide. Since the mechanism of LC pathogenesis and metastasis cannot be carried out directly on the human body, it is particularly important to establish human liver cancer cell lines for research in vitro. In this study, tissue block adherence method combined with cell clumps digestion method was used to establish primary human hepatocytes (PHHs) with a successful rate of 60% (45/75). Short tandem repeat (STR) analysis proved the cells were derived from its paired tissues. These cells from hepatocellular carcinoma (HCC) expressed NTCP and secreted ALB and AAT as detected by western blot, and expressed hepatocyte-specific membrane protein ASGR1 as detected by flow cytometry. Liver cancer biomarkers like CK7 in ICC (intrahepatic cholangiocarcinoma), AFP, and GPC3 in HCC expressed of different degree as detected by immunohistochemical analysis. These cells displayed typical liver cancer cell morphological characteristics and can passage stably. In conclusion, we developed an effective method to establish PHHs. Further studies are necessary to study if these cells maintaining other liver function and reproduce the physiology of the tumors and how these cells behavior in the drug development.
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Affiliation(s)
- Jia-Yan Li
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Li-Li Wang
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Jing Fan
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Du-Xian Liu
- Department of Pathology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Jian-Bo Han
- Department of Hepatobiliary Surgery, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Yu-Feng Zhang
- Department of Hepatobiliary Surgery, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Dan-Dan Yin
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
| | - Yong-Xiang Yi
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China.,Department of Hepatobiliary Surgery, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, P.R. China
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6
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Zheng YB, Ma LD, Wu JL, Wang YM, Meng XS, Hu P, Liang QL, Xie YY, Luo GA. Design and fabrication of an integrated 3D dynamic multicellular liver-on-a-chip and its application in hepatotoxicity screening. Talanta 2022; 241:123262. [DOI: 10.1016/j.talanta.2022.123262] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 01/16/2022] [Accepted: 01/22/2022] [Indexed: 01/05/2023]
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7
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Pan X, Yamazaki S, Neuhoff S, Zhang M, Pilla Reddy V. Unraveling pleiotropic effects of rifampicin by using physiologically based pharmacokinetic modeling: Assessing the induction magnitude of P-glycoprotein-cytochrome P450 3A4 dual substrates. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2021; 10:1485-1496. [PMID: 34729944 PMCID: PMC8674000 DOI: 10.1002/psp4.12717] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 11/07/2022]
Abstract
Rifampicin induces both P-glycoprotein (P-gp) and cytochrome P450 3A4 (CYP3A4) through regulating common nuclear receptors (e.g., pregnane X receptor). The interplay of P-gp and CYP3A4 has emerged to be an important factor in clinical drug-drug interactions (DDIs) with P-gp-CYP3A4 dual substrates and requires qualitative and quantitative understanding. Although physiologically based pharmacokinetic (PBPK) modeling has become a widely accepted approach to assess DDIs and is able to reasonably predict DDIs caused by CYP3A4 induction and P-gp induction individually, the predictability of PBPK models for the effect of simultaneous P-gp and CYP3A4 induction on P-gp-CYP3A4 dual substrates remains to be systematically evaluated. In this study, we used a PBPK modeling approach for the assessment of DDIs between rifampicin and 12 drugs: three sensitive P-gp substrates, seven P-gp-CYP3A4 dual substrates, and two P-gp-CYP3A4 dual substrates and inhibitors. A 3.5-fold increase of intestinal P-gp abundance was incorporated in the PBPK models to account for rifampicin-mediated P-gp induction at steady state. The simulation results showed that accounting for P-gp induction in addition to CYP3A4 induction improved the prediction accuracy of the area under the concentration-time curve and maximum (peak) plasma drug concentration ratios compared with considering CYP3A4 induction alone. Furthermore, the interplay of relevant drug-specific parameters and its impact on the magnitude of DDIs were evaluated using sensitivity analysis. The PBPK approach described herein, in conjunction with robust in vitro and clinical data, can help in the prospective assessment of DDIs involving other P-gp and CYP3A4 dual substrates. The database reported in the present study provides a valuable aid in understanding the combined effect of P-gp and CYP3A4 induction during drug development.
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Affiliation(s)
- Xian Pan
- Simcyp DivisionCertara UK LimitedSheffieldUK
| | - Shinji Yamazaki
- Pharmacokinetics, Dynamics & MetabolismPfizer Worldwide Research & DevelopmentSan DiegoCaliforniaUSA
- Present address:
Drug Metabolism & PharmacokineticsJanssen Research & Development, LLCSan DiegoCaliforniaUSA
| | | | - Mian Zhang
- Simcyp DivisionCertara UK LimitedSheffieldUK
| | - Venkatesh Pilla Reddy
- Modelling and Simulation, Early Oncolog, Oncology R&DAstraZenecaCambridgeUK
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&DAstraZenecaCambridgeUK
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8
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Smutny T, Bernhauerova V, Smutna L, Tebbens JD, Pavek P. Expression dynamics of pregnane X receptor-controlled genes in 3D primary human hepatocyte spheroids. Arch Toxicol 2021; 96:195-210. [PMID: 34689256 DOI: 10.1007/s00204-021-03177-y] [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: 06/23/2021] [Accepted: 10/06/2021] [Indexed: 02/07/2023]
Abstract
The pregnane X receptor (PXR) is a ligand-activated nuclear receptor controlling hepatocyte expression of numerous genes. Although expression changes in xenobiotic-metabolizing, lipogenic, gluconeogenic and bile acid synthetic genes have been described after PXR activation, the temporal dynamics of their expression is largely unknown. Recently, 3D spheroids of primary human hepatocytes (PHHs) have been characterized as the most phenotypically relevant hepatocyte model. We used 3D PHHs to assess time-dependent expression profiles of 12 prototypic PXR-controlled genes in the time course of 168 h of rifampicin treatment (1 or 10 µM). We observed a similar bell-shaped time-induction pattern for xenobiotic-handling genes (CYP3A4, CYP2C9, CYP2B6, and MDR1). However, we observed either biphasic profiles for genes involved in endogenous metabolism (FASN, GLUT2, G6PC, PCK1, and CYP7A1), a decrease for SHP or oscillation for PDK4 and PXR. The rifampicin concentration determined the expression profiles for some genes. Moreover, we calculated half-lives of CYP3A4 and CYP2C9 mRNA under induced or basal conditions and we used a mathematical model to describe PXR-mediated regulation of CYP3A4 expression employing 3D PHHs. The study shows the importance of long-term time-expression profiling of PXR target genes in phenotypically stable 3D PHHs and provides insight into PXR function in liver beyond our knowledge from conventional 2D in vitro models.
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Affiliation(s)
- Tomas Smutny
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic.
| | - Veronika Bernhauerova
- Department of Biophysics and Physical Chemistry, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic
| | - Lucie Smutna
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic
| | - Jurjen Duintjer Tebbens
- Department of Biophysics and Physical Chemistry, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic
| | - Petr Pavek
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic
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9
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Monckton CP, Brown GE, Khetani SR. Latest impact of engineered human liver platforms on drug development. APL Bioeng 2021; 5:031506. [PMID: 34286173 PMCID: PMC8286174 DOI: 10.1063/5.0051765] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 06/21/2021] [Indexed: 01/07/2023] Open
Abstract
Drug-induced liver injury (DILI) is a leading cause of drug attrition, which is partly due to differences between preclinical animals and humans in metabolic pathways. Therefore, in vitro human liver models are utilized in biopharmaceutical practice to mitigate DILI risk and assess related mechanisms of drug transport and metabolism. However, liver cells lose phenotypic functions within 1–3 days in two-dimensional monocultures on collagen-coated polystyrene/glass, which precludes their use to model the chronic effects of drugs and disease stimuli. To mitigate such a limitation, bioengineers have adapted tools from the semiconductor industry and additive manufacturing to precisely control the microenvironment of liver cells. Such tools have led to the fabrication of advanced two-dimensional and three-dimensional human liver platforms for different throughput needs and assay endpoints (e.g., micropatterned cocultures, spheroids, organoids, bioprinted tissues, and microfluidic devices); such platforms have significantly enhanced liver functions closer to physiologic levels and improved functional lifetime to >4 weeks, which has translated to higher sensitivity for predicting drug outcomes and enabling modeling of diseased phenotypes for novel drug discovery. Here, we focus on commercialized engineered liver platforms and case studies from the biopharmaceutical industry showcasing their impact on drug development. We also discuss emerging multi-organ microfluidic devices containing a liver compartment that allow modeling of inter-tissue crosstalk following drug exposure. Finally, we end with key requirements for engineered liver platforms to become routine fixtures in the biopharmaceutical industry toward reducing animal usage and providing patients with safe and efficacious drugs with unprecedented speed and reduced cost.
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Affiliation(s)
- Chase P Monckton
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Grace E Brown
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Salman R Khetani
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA
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Asadi M, Khalili M, Lotfi H, Vaghefi Moghaddam S, Zarghami N, André H, Alizadeh E. Liver bioengineering: Recent trends/advances in decellularization and cell sheet technologies towards translation into the clinic. Life Sci 2021; 276:119373. [PMID: 33744324 DOI: 10.1016/j.lfs.2021.119373] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 02/07/2023]
Abstract
Development of novel technologies provides the best tissue constructs engineering and maximizes their therapeutic effects in regenerative therapy, especially for liver dysfunctions. Among the currently investigated approaches of tissue engineering, scaffold-based and scaffold-free tissues are widely suggested for liver regeneration. Analogs of liver acellular extracellular matrix (ECM) are utilized in native scaffolds to increase the self-repair and healing ability of organs. Native ECM analog could improve liver repairing through providing the supportive framework for cells and signaling molecules, exerting normal biomechanical, biochemical, and physiological signal complexes. Recently, innovative cell sheet technology is introduced as an alternative for conventional tissue engineering with the advantage of fewer scaffold restrictions and cell culture on a Thermo-Responsive Polymer Surface. These sheets release the layered cells through a temperature-controlled procedure without enzymatic digestion, while preserving the cell-ECM contacts and adhesive molecules on cell-cell junctions. In addition, several novelties have been introduced into the cell sheet and decellularization technologies to aid cell growth, instruct differentiation/angiogenesis, and promote cell migration. In this review, recent trends, advancements, and issues linked to translation into clinical practice are dissected and compared regarding the decellularization and cell sheet technologies for liver tissue engineering.
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Affiliation(s)
- Maryam Asadi
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mostafa Khalili
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hajie Lotfi
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Physiology, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Nosratollah Zarghami
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Helder André
- Department of Clinical Neuroscience, St. Erik Eye Hospital, Karolinska Institute, 11282 Stockholm, Sweden
| | - Effat Alizadeh
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
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Zhu YT, Zhang YF, Jiang JF, Yang Y, Guo LX, Bao JJ, Zhong DF. Effects of rifampicin on the pharmacokinetics of alflutinib, a selective third-generation EGFR kinase inhibitor, and its metabolite AST5902 in healthy volunteers. Invest New Drugs 2021; 39:1011-1018. [PMID: 33506323 DOI: 10.1007/s10637-021-01071-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 01/19/2021] [Indexed: 01/11/2023]
Abstract
Background Alflutinib is a novel irreversible and highly selective third-generation EGFR inhibitor currently being developed for the treatment of non-small cell lung cancer patients with activating EGFR mutations and EGFR T790M drug-resistant mutation. Alflutinib is mainly metabolized via CYP3A4 to form its active metabolite AST5902. Both alflutinib and AST5902 contribute to the in vivo pharmacological activity. The aim of this study was to investigate the effects of rifampicin (a strong CYP3A4 inducer) on the pharmacokinetics of alflutinib and AST5902 in healthy volunteers, thus providing important information for drug-drug interaction evaluation and guiding clinical usage. Methods This study was designed as a single-center, open-label, and single-sequence trial over two periods. The volunteers received a single dose of 80 mg alflutinib on Day 1/22 and continuous doses of 0.6 g rifampicin on Day 15-30. Blood sampling was conducted on Day 1-10 and Day 22-31. The pharmacokinetics of alflutinib, AST5902, and the total active ingredients (alflutinib and AST5902) with or without rifampicin co-administration were respectively analyzed. Results Co-administration with rifampicin led to 86% and 60% decreases in alflutinib AUC0-∞ and Cmax, respectively, as well as 17% decrease in AST5902 AUC0-∞ and 1.09-fold increase in AST5902 Cmax. The total active ingredients (alflutinib and AST5902) exhibited 62% and 39% decreases in AUC0-∞ and Cmax, respectively. Conclusions As a strong CYP3A4 inducer, rifampicin exerted significant effects on the pharmacokinetics of alflutinib and the total active ingredients (alflutinib and AST5902). The results suggested that concomitant strong CYP3A4 inducers should be avoided during alflutinib treatment. This trial was registered at http://www.chinadrugtrials.org.cn . The registration No. is CTR20191562, and the date of registration is 2019-09-12.
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Affiliation(s)
- Yun-Ting Zhu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai, 201203, People's Republic of China
| | - Yi-Fan Zhang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai, 201203, People's Republic of China.
| | - Jin-Fang Jiang
- HQ Bioscience Co., LTD, Suzhou, People's Republic of China
| | - Yong Yang
- HQ Bioscience Co., LTD, Suzhou, People's Republic of China
| | - Li-Xia Guo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai, 201203, People's Republic of China
| | - Jing-Jing Bao
- Shanghai Allist Pharmaceuticals Co., Ltd, Shanghai, People's Republic of China
| | - Da-Fang Zhong
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai, 201203, People's Republic of China.
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12
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Docci L, Klammers F, Ekiciler A, Molitor B, Umehara K, Walter I, Krähenbühl S, Parrott N, Fowler S. In Vitro to In Vivo Extrapolation of Metabolic Clearance for UGT Substrates Using Short-Term Suspension and Long-Term Co-cultured Human Hepatocytes. AAPS JOURNAL 2020; 22:131. [DOI: 10.1208/s12248-020-00482-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/10/2020] [Indexed: 01/08/2023]
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13
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Liu XY, Guo ZT, Chen ZD, Zhang YF, Zhou JL, Jiang Y, Zhao QY, Diao XX, Zhong DF. Alflutinib (AST2818), primarily metabolized by CYP3A4, is a potent CYP3A4 inducer. Acta Pharmacol Sin 2020; 41:1366-1376. [PMID: 32235864 PMCID: PMC7608132 DOI: 10.1038/s41401-020-0389-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 12/24/2022] Open
Abstract
Alflutinib (AST2818) is a third-generation epidermal growth factor receptor (EGFR) inhibitor that inhibits both EGFR-sensitive mutations and T790M mutations. Previous study has shown that after multiple dosages, alflutinib exhibits nonlinear pharmacokinetics and displays a time- and dose-dependent increase in the apparent clearance, probably due to its self-induction of cytochrome P450 (CYP) enzyme. In this study, we investigated the CYP isozymes involved in the metabolism of alflutinib and evaluated the enzyme inhibition and induction potential of alflutinib and its metabolites. The data showed that alflutinib in human liver microsomes (HLMs) was metabolized mainly by CYP3A4, which could catalyze the formation of AST5902. Alflutinib did not inhibit CYP isozymes in HLMs but could induce CYP3A4 in human hepatocytes. Rifampin is a known strong CYP3A4 inducer and is recommended by the FDA as a positive control in the CYP3A4 induction assay. We found that the induction potential of alflutinib was comparable to that of rifampin. The Emax of CYP3A4 induction by alflutinib in three lots of human hepatocytes were 9.24-, 11.2-, and 10.4-fold, while the fold-induction of rifampin (10 μM) were 7.22-, 19.4- and 9.46-fold, respectively. The EC50 of alflutinib-induced CYP3A4 mRNA expression was 0.25 μM, which was similar to that of rifampin. In addition, AST5902 exhibited much weak CYP3A4 induction potential compared to alflutinib. Given the plasma exposure of alflutinib and AST5902, both are likely to affect the pharmacokinetics of CYP3A4 substrates. Considering that alflutinib is a CYP3A4 substrate and a potent CYP3A4 inducer, drug-drug interactions are expected during alflutinib treatment.
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Affiliation(s)
- Xiao-Yun Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zi-Tao Guo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Zhen-Dong Chen
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yi-Fan Zhang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Jia-Lan Zhou
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yong Jiang
- Shanghai Allist Pharmaceuticals Inc., Shanghai, 201203, China
| | - Qian-Yu Zhao
- Shanghai Allist Pharmaceuticals Inc., Shanghai, 201203, China
| | - Xing-Xing Diao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Da-Fang Zhong
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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14
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Fowler S, Chen WLK, Duignan DB, Gupta A, Hariparsad N, Kenny JR, Lai WG, Liras J, Phillips JA, Gan J. Microphysiological systems for ADME-related applications: current status and recommendations for system development and characterization. LAB ON A CHIP 2020; 20:446-467. [PMID: 31932816 DOI: 10.1039/c9lc00857h] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Over the last decade, progress has been made on the development of microphysiological systems (MPS) for absorption, distribution, metabolism, and excretion (ADME) applications. Central to this progress has been proof of concept data generated by academic and industrial institutions followed by broader characterization studies, which provide evidence for scalability and applicability to drug discovery and development. In this review, we describe some of the advances made for specific tissue MPS and outline the desired functionality for such systems, which are likely to make them applicable for practical use in the pharmaceutical industry. Single organ MPS platforms will be valuable for modelling tissue-specific functions. However, dynamic organ crosstalk, especially in the context of disease or toxicity, can only be obtained with the use of inter-linked MPS models which will enable scientists to address questions at the intersection of pharmacokinetics (PK) and efficacy, or PK and toxicity. In the future, successful application of MPS platforms that closely mimic human physiology may ultimately reduce the need for animal models to predict ADME outcomes and decrease the overall risk and cost associated with drug development.
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Affiliation(s)
- Stephen Fowler
- Pharma Research and Early Development, F.Hoffmann-La Roche Ltd, Grenzacherstrasse 124, CH4070, Basel, Switzerland
| | | | - David B Duignan
- Department of Drug Metabolism, Pharmacokinetics & Bioanalysis, AbbVie Bioresearch Center, Worcester, Massachusetts 01605, USA
| | - Anshul Gupta
- Amgen Research, 360 Binney St, Cambridge, MA 02141, USA
| | - Niresh Hariparsad
- Department of Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals, 50 Northern Ave, Boston, MA, USA
| | - Jane R Kenny
- DMPK, Genentech, 1 DNA Way, South San Francisco 94080, USA
| | | | - Jennifer Liras
- Medicine Design, Pfizer Inc, 1 Portland Ave, Cambridge, MA 02139, USA
| | | | - Jinping Gan
- Pharmaceutical Candidate Optimization, Bristol-Myers Squibb R&D, PO Box 4000, Princeton, NJ 08543-4000, USA.
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15
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Yadav J, Paragas E, Korzekwa K, Nagar S. Time-dependent enzyme inactivation: Numerical analyses of in vitro data and prediction of drug-drug interactions. Pharmacol Ther 2020; 206:107449. [PMID: 31836452 PMCID: PMC6995442 DOI: 10.1016/j.pharmthera.2019.107449] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cytochrome P450 (CYP) enzyme kinetics often do not conform to Michaelis-Menten assumptions, and time-dependent inactivation (TDI) of CYPs displays complexities such as multiple substrate binding, partial inactivation, quasi-irreversible inactivation, and sequential metabolism. Additionally, in vitro experimental issues such as lipid partitioning, enzyme concentrations, and inactivator depletion can further complicate the parameterization of in vitro TDI. The traditional replot method used to analyze in vitro TDI datasets is unable to handle complexities in CYP kinetics, and numerical approaches using ordinary differential equations of the kinetic schemes offer several advantages. Improvement in the parameterization of CYP in vitro kinetics has the potential to improve prediction of clinical drug-drug interactions (DDIs). This manuscript discusses various complexities in TDI kinetics of CYPs, and numerical approaches to model these complexities. The extrapolation of CYP in vitro TDI parameters to predict in vivo DDIs with static and dynamic modeling is discussed, along with a discussion on current gaps in knowledge and future directions to improve the prediction of DDI with in vitro data for CYP catalyzed drug metabolism.
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Affiliation(s)
- Jaydeep Yadav
- Amgen Inc., 360 Binney Street, Cambridge, MA 02142, United States; Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Erickson Paragas
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Ken Korzekwa
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Swati Nagar
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States.
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16
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Katsuda T, Kawamata M, Inoue A, Yamaguchi T, Abe M, Ochiya T. Long‐term maintenance of functional primary human hepatocytes using small molecules. FEBS Lett 2019; 594:114-125. [DOI: 10.1002/1873-3468.13582] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 08/15/2019] [Accepted: 08/16/2019] [Indexed: 01/08/2023]
Affiliation(s)
- Takeshi Katsuda
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
| | - Masaki Kawamata
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
- Division of Organogenesis and Regeneration Medical Institute of Bioregulation Kyushu University Fukuoka Japan
| | - Ayako Inoue
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
| | - Tomoko Yamaguchi
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
- Department of Molecular and Cellular Medicine, Institute of Medical Science Tokyo Medical University Nishi-Shinjuku, Shinjuku-ku Tokyo Japan
| | - Maki Abe
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
- Department of Molecular and Cellular Medicine, Institute of Medical Science Tokyo Medical University Nishi-Shinjuku, Shinjuku-ku Tokyo Japan
| | - Takahiro Ochiya
- Division of Molecular and Cellular Medicine National Cancer Center Research Institute Tokyo Japan
- Department of Molecular and Cellular Medicine, Institute of Medical Science Tokyo Medical University Nishi-Shinjuku, Shinjuku-ku Tokyo Japan
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17
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Lee JS, Kim SH. Dose-Dependent Pharmacokinetics of Tofacitinib in Rats: Influence of Hepatic and Intestinal First-Pass Metabolism. Pharmaceutics 2019; 11:E318. [PMID: 31284540 PMCID: PMC6681021 DOI: 10.3390/pharmaceutics11070318] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 07/03/2019] [Accepted: 07/04/2019] [Indexed: 12/21/2022] Open
Abstract
This study investigated the pharmacokinetics of tofacitinib in rats and the effects of first-pass metabolism on tofacitinib pharmacokinetics. Intravenous administration of 5, 10, 20, and 50 mg/kg tofacitinib showed that the dose-normalized area under the plasma concentration-time curve from time zero to infinity (AUC) was significantly higher at 50 mg/kg than at lower doses, a difference possibly due to saturation of the hepatic metabolism of tofacitinib. Oral administration of 10, 20, 50, and 100 mg/kg tofacitinib showed that the dose-normalized AUC was significantly higher at 100 mg/kg than at lower doses, a difference possibly due to saturation of the intestinal metabolism of tofacitinib. Following oral administration of 10 mg/kg tofacitinib, the unabsorbed fraction from the rat intestine was 3.16% and the bioavailability (F) was 29.1%. The AUC was significantly lower (49.3%) after intraduodenal, compared to intraportal, administration, but did not differ between intragastric and intraduodenal administration, suggesting that approximately 46.1% of orally administered tofacitinib was metabolized through an intestinal first-pass effect. The AUC was also significantly lower (42%) after intraportal, compared to intravenous, administration, suggesting that the hepatic first-pass effect on tofacitinib after entering the portal vein was approximately 21.3% of the oral dose. Taken together, these findings suggest that the low F of tofacitinib is due primarily to intestinal first-pass metabolism.
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Affiliation(s)
- Ji Sang Lee
- College of Pharmacy and Research Institute of Pharmaceutical Science and Technology, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon 16499, Korea
| | - So Hee Kim
- College of Pharmacy and Research Institute of Pharmaceutical Science and Technology, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon 16499, Korea.
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18
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Brown GE, Khetani SR. Microfabrication of liver and heart tissues for drug development. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0225. [PMID: 29786560 DOI: 10.1098/rstb.2017.0225] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/24/2017] [Indexed: 12/12/2022] Open
Abstract
Drug-induced liver- and cardiotoxicity remain among the leading causes of preclinical and clinical drug attrition, marketplace drug withdrawals and black-box warnings on marketed drugs. Unfortunately, animal testing has proven to be insufficient for accurately predicting drug-induced liver- and cardiotoxicity across many drug classes, likely due to significant differences in tissue functions across species. Thus, the field of in vitro human tissue engineering has gained increasing importance over the last 10 years. Technologies such as protein micropatterning, microfluidics, three-dimensional scaffolds and bioprinting have revolutionized in vitro platforms as well as increased the long-term phenotypic stability of both primary cells and stem cell-derived differentiated cells. Here, we discuss advances in engineering approaches for constructing in vitro human liver and heart models with utility for drug development. Design features and validation data of representative models are presented to highlight major trends followed by the discussion of pending issues. Overall, bioengineered liver and heart models have significantly advanced our understanding of organ function and injury, which will prove useful for mitigating the risk of drug-induced organ toxicity to human patients, reducing animal usage for preclinical drug testing, aiding in the discovery of novel therapeutics against human diseases, and ultimately for applications in regenerative medicine.This article is part of the theme issue 'Designer human tissue: coming to a lab near you'.
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Affiliation(s)
- Grace E Brown
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Salman R Khetani
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
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19
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Docci L, Parrott N, Krähenbühl S, Fowler S. Application of New Cellular and Microphysiological Systems to Drug Metabolism Optimization and Their Positioning Respective to In Silico Tools. SLAS DISCOVERY 2019; 24:523-536. [PMID: 30817893 DOI: 10.1177/2472555219831407] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
New cellular model systems for drug metabolism applications, such as advanced 2D liver co-cultures, spheroids, and microphysiological systems (MPSs), offer exciting opportunities to reproduce human biology more closely in vitro with the aim of improving predictions of pharmacokinetics, drug-drug interactions, and efficacy. These advanced cellular systems have quickly become established for human intrinsic clearance determination and have been validated for several other absorption, distribution, metabolism, and excretion (ADME) applications. Adoption will be driven through the demonstration of clear added value, for instance, by more accurate and precise clearance predictions and by more reliable extrapolation of drug interaction potential leading to faster progression to pivotal proof-of-concept studies. New experimental systems are attractive when they can (1) increase experimental capacity, removing optimization bottlenecks; (2) improve measurement quality of ADME properties that impact pharmacokinetics; and (3) enable measurements to be made that were not previously possible, reducing risk in ADME prediction and candidate selection. As new systems become established, they will find their place in the repository of tools used at different stages of the research and development process, depending on the balance of value, throughput, and cost. In this article, we give a perspective on the integration of these new methodologies into ADME optimization during drug discovery, and the likely applications and impacts on drug development.
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Affiliation(s)
- Luca Docci
- 1 Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland.,2 Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Neil Parrott
- 1 Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland
| | | | - Stephen Fowler
- 1 Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland
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20
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Characterization of CYP2C Induction in Cryopreserved Human Hepatocytes and Its Application in the Prediction of the Clinical Consequences of the Induction. J Pharm Sci 2018; 107:2479-2488. [DOI: 10.1016/j.xphs.2018.05.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 05/08/2018] [Accepted: 05/16/2018] [Indexed: 12/19/2022]
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21
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Underhill GH, Khetani SR. Advances in Engineered Human Liver Platforms for Drug Metabolism Studies. Drug Metab Dispos 2018; 46:1626-1637. [PMID: 30135245 DOI: 10.1124/dmd.118.083295] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 08/17/2018] [Indexed: 12/27/2022] Open
Abstract
Metabolism in the liver often determines the overall clearance rates of many pharmaceuticals. Furthermore, induction or inhibition of the liver drug metabolism enzymes by perpetrator drugs can influence the metabolism of victim drugs (drug-drug interactions). Therefore, determining liver-drug interactions is critical during preclinical drug development. Unfortunately, studies in animals are often of limited value because of significant differences in the metabolic pathways of the liver across different species. To mitigate such limitations, the pharmaceutical industry uses a continuum of human liver models, ranging from microsomes to transfected cell lines and cultures of primary human hepatocytes (PHHs). Of these models, PHHs provide a balance of high-throughput testing capabilities together with a physiologically relevant cell type that exhibits all the characteristic enzymes, cofactors, and transporters. However, PHH monocultures display a rapid decline in metabolic capacity. Consequently, bioengineers have developed several tools, such as cellular microarrays, micropatterned cocultures, self-assembled and bioprinted spheroids, and perfusion devices, to enhance and stabilize PHH functions for ≥2 weeks. Many of these platforms have been validated for drug studies, whereas some have been adapted to include liver nonparenchymal cells that can influence hepatic drug metabolism in health and disease. Here, we focus on the design features of such platforms and their representative drug metabolism validation datasets, while discussing emerging trends. Overall, the use of engineered human liver platforms in the pharmaceutical industry has been steadily rising over the last 10 years, and we anticipate that these platforms will become an integral part of drug development with continued commercialization and validation for routine screening use.
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Affiliation(s)
- Gregory H Underhill
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois; and Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois
| | - Salman R Khetani
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois; and Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois
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22
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Chan CYS, Roberts O, Rajoli RKR, Liptrott NJ, Siccardi M, Almond L, Owen A. Derivation of CYP3A4 and CYP2B6 degradation rate constants in primary human hepatocytes: A siRNA-silencing-based approach. Drug Metab Pharmacokinet 2018; 33:179-187. [PMID: 29921509 DOI: 10.1016/j.dmpk.2018.01.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 12/22/2017] [Accepted: 01/10/2018] [Indexed: 12/26/2022]
Abstract
The first-order degradation rate constant (kdeg) of cytochrome P450 (CYP) enzymes is a known source of uncertainty in the prediction of time-dependent drug-drug interactions (DDIs) in physiologically-based pharmacokinetic (PBPK) modelling. This study aimed to measure CYP kdeg using siRNA to suppress CYP expression in primary human hepatocytes followed by incubation over a time-course and tracking of protein expression and activity to observe degradation. The magnitude of gene knockdown was determined by qPCR and activity was measured by probe substrate metabolite formation and CYP2B6-Glo™ assay. Protein disappearance was determined by Western blotting. During a time-course of 96 and 60 h of incubation, over 60% and 76% mRNA knockdown was observed for CYP3A4 and CYP2B6, respectively. The kdeg of CYP3A4 and CYP2B6 protein was 0.0138 h-1 (±0.0023) and 0.0375 h-1 (±0.025), respectively. The kdeg derived from probe substrate metabolism activity was 0.0171 h-1 (±0.0025) for CYP3A4 and 0.0258 h-1 (±0.0093) for CYP2B6. The CYP3A4 kdeg values derived from protein disappearance and metabolic activity were in relatively good agreement with each other and similar to published values. This novel approach can now be used for other less well-characterised CYPs.
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Affiliation(s)
- Christina Y S Chan
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Owain Roberts
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Rajith K R Rajoli
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Neill J Liptrott
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Marco Siccardi
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK
| | - Lisa Almond
- Simcyp (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK
| | - Andrew Owen
- Department of Molecular and Clinical Pharmacology, The University of Liverpool, 70 Pembroke Place, Liverpool, L69 3GF, UK.
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23
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Underhill GH, Khetani SR. Bioengineered Liver Models for Drug Testing and Cell Differentiation Studies. Cell Mol Gastroenterol Hepatol 2018; 5:426-439.e1. [PMID: 29675458 PMCID: PMC5904032 DOI: 10.1016/j.jcmgh.2017.11.012] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 11/21/2017] [Indexed: 12/19/2022]
Abstract
In vitro models of the human liver are important for the following: (1) mitigating the risk of drug-induced liver injury to human beings, (2) modeling human liver diseases, (3) elucidating the role of single and combinatorial microenvironmental cues on liver cell function, and (4) enabling cell-based therapies in the clinic. Methods to isolate and culture primary human hepatocytes (PHHs), the gold standard for building human liver models, were developed several decades ago; however, PHHs show a precipitous decline in phenotypic functions in 2-dimensional extracellular matrix-coated conventional culture formats, which does not allow chronic treatment with drugs and other stimuli. The development of several engineering tools, such as cellular microarrays, protein micropatterning, microfluidics, biomaterial scaffolds, and bioprinting, now allow precise control over the cellular microenvironment for enhancing the function of both PHHs and induced pluripotent stem cell-derived human hepatocyte-like cells; long-term (4+ weeks) stabilization of hepatocellular function typically requires co-cultivation with liver-derived or non-liver-derived nonparenchymal cell types. In addition, the recent development of liver organoid culture systems can provide a strategy for the enhanced expansion of therapeutically relevant cell types. Here, we discuss advances in engineering approaches for constructing in vitro human liver models that have utility in drug screening and for determining microenvironmental determinants of liver cell differentiation/function. Design features and validation data of representative models are presented to highlight major trends followed by the discussion of pending issues that need to be addressed. Overall, bioengineered liver models have significantly advanced our understanding of liver function and injury, which will prove useful for drug development and ultimately cell-based therapies.
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Key Words
- 3D, 3-dimensional
- BAL, bioartificial liver
- Bioprinting
- CRP, C-reactive protein
- CYP450, cytochrome P450
- Cellular Microarrays
- DILI, drug-induced liver injury
- ECM, extracellular matrix
- HSC, hepatic stellate cell
- Hepatocytes
- IL, interleukin
- KC, Kupffer cell
- LSEC, liver sinusoidal endothelial cell
- MPCC, micropatterned co-culture
- Microfluidics
- Micropatterned Co-Cultures
- NPC, nonparenchymal cell
- PEG, polyethylene glycol
- PHH, primary human hepatocyte
- Spheroids
- iHep, induced pluripotent stem cell-derived human hepatocyte-like cell
- iPS, induced pluripotent stem
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Affiliation(s)
- Gregory H. Underhill
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Salman R. Khetani
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois
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24
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Kratochwil NA, Triyatni M, Mueller MB, Klammers F, Leonard B, Turley D, Schmaler J, Ekiciler A, Molitor B, Walter I, Gonsard PA, Tournillac CA, Durrwell A, Marschmann M, Jones R, Ullah M, Boess F, Ottaviani G, Jin Y, Parrott NJ, Fowler S. Simultaneous Assessment of Clearance, Metabolism, Induction, and Drug-Drug Interaction Potential Using a Long-Term In Vitro Liver Model for a Novel Hepatitis B Virus Inhibitor. J Pharmacol Exp Ther 2018; 365:237-248. [PMID: 29453199 DOI: 10.1124/jpet.117.245712] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 01/26/2018] [Indexed: 01/04/2023] Open
Abstract
Long-term in vitro liver models are now widely explored for human hepatic metabolic clearance prediction, enzyme phenotyping, cross-species metabolism, comparison of low clearance drugs, and induction studies. Here, we present studies using a long-term liver model, which show how metabolism and active transport, drug-drug interactions, and enzyme induction in healthy and diseased states, such as hepatitis B virus (HBV) infection, may be assessed in a single test system to enable effective data integration for physiologically based pharmacokinetic (PBPK) modeling. The approach is exemplified in the case of (3S)-4-[[(4R)-4-(2-Chloro-4-fluorophenyl)-5-methoxycarbonyl-2-thiazol-2-yl-1,4-dihydropyrimidin-6-yl]methyl]morpholine-3-carboxylic acid RO6889678, a novel inhibitor of HBV with a complex absorption, distribution, metabolism, and excretion (ADME) profile. RO6889678 showed an intracellular enrichment of 78-fold in hepatocytes, with an apparent intrinsic clearance of 5.2 µl/min per mg protein and uptake and biliary clearances of 2.6 and 1.6 µl/min per mg protein, respectively. When apparent intrinsic clearance was incorporated into a PBPK model, the simulated oral human profiles were in good agreement with observed data at low doses but were underestimated at high doses due to unexpected overproportional increases in exposure with dose. In addition, the induction potential of RO6889678 on cytochrome P450 (P450) enzymes and transporters at steady state was assessed and cotreatment with ritonavir revealed a complex drug-drug interaction with concurrent P450 inhibition and moderate UDP-glucuronosyltransferase induction. Furthermore, we report on the first evaluation of in vitro pharmacokinetics studies using HBV-infected HepatoPac cocultures. Thus, long-term liver models have great potential as translational research tools exploring pharmacokinetics of novel drugs in vitro in health and disease.
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Affiliation(s)
- Nicole A Kratochwil
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Miriam Triyatni
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Martina B Mueller
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Florian Klammers
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Brian Leonard
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Dan Turley
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Josephine Schmaler
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Aynur Ekiciler
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Birgit Molitor
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Isabelle Walter
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Pierre-Alexis Gonsard
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Charles A Tournillac
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Alexandre Durrwell
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Michaela Marschmann
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Russell Jones
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Mohammed Ullah
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Franziska Boess
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Giorgio Ottaviani
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Yuyan Jin
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Neil J Parrott
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
| | - Stephen Fowler
- Pharmaceutical Sciences (N.A.K., M.B.M., F.K., A.E., B.M., I.W., P.-A.G., C.A.T., A.D., M.M., R.J., M.U., F.B., N.J.P., S.F.) and Inflammation, Immunology, and Infectious Diseases Therapeutic Areas (M.T., B.L., D.T., J.S.), Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland; and Pharmaceutical Sciences, Roche Innovation Center Shanghai, Roche R&D Center (China) Ltd., Pudong, Shanghai, China (G.O., Y.Y.)
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25
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Beckwitt CH, Clark AM, Wheeler S, Taylor DL, Stolz DB, Griffith L, Wells A. Liver 'organ on a chip'. Exp Cell Res 2018; 363:15-25. [PMID: 29291400 PMCID: PMC5944300 DOI: 10.1016/j.yexcr.2017.12.023] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 12/21/2017] [Accepted: 12/27/2017] [Indexed: 12/14/2022]
Abstract
The liver plays critical roles in both homeostasis and pathology. It is the major site of drug metabolism in the body and, as such, a common target for drug-induced toxicity and is susceptible to a wide range of diseases. In contrast to other solid organs, the liver possesses the unique ability to regenerate. The physiological importance and plasticity of this organ make it a crucial system of study to better understand human physiology, disease, and response to exogenous compounds. These aspects have impelled many to develop liver tissue systems for study in isolation outside the body. Herein, we discuss these biologically engineered organoids and microphysiological systems. These aspects have impelled many to develop liver tissue systems for study in isolation outside the body. Herein, we discuss these biologically engineered organoids and microphysiological systems.
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Affiliation(s)
- Colin H Beckwitt
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA; The McGowan Institute of Regenerative Medicine University of Pittsburgh, Pittsburgh, PA 15213, USA; Research and Development Service, VA Pittsburgh Health System, Pittsburgh, PA 15240, USA
| | - Amanda M Clark
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Sarah Wheeler
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - D Lansing Taylor
- Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA; The McGowan Institute of Regenerative Medicine University of Pittsburgh, Pittsburgh, PA 15213, USA; Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Donna B Stolz
- Cell Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA; The McGowan Institute of Regenerative Medicine University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Linda Griffith
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alan Wells
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA; The McGowan Institute of Regenerative Medicine University of Pittsburgh, Pittsburgh, PA 15213, USA; Research and Development Service, VA Pittsburgh Health System, Pittsburgh, PA 15240, USA.
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26
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Abstract
To curb the high cost of drug development, there is an urgent need to develop more predictive tissue models using human cells to determine drug efficacy and safety in advance of clinical testing. Recent insights gained through fundamental biological studies have validated the importance of dynamic cell environments and cellular communication to the expression of high fidelity organ function. Building on this knowledge, emerging organ-on-a-chip technology is poised to fill the gaps in drug screening by offering predictive human tissue models with methods of sophisticated tissue assembly. Organ-on-a-chip start-ups have begun to spawn from academic research to fill this commercial space and are attracting investment to transform the drug discovery industry. This review traces the history, examines the scientific foundation and envisages the prospect of these renowned organ-on-a-chip technologies. It serves as a guide for new members of this dynamic field to navigate the existing scientific and market space.
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Affiliation(s)
- Boyang Zhang
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
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27
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Hariparsad N, Ramsden D, Palamanda J, Dekeyser JG, Fahmi OA, Kenny JR, Einolf H, Mohutsky M, Pardon M, Siu YA, Chen L, Sinz M, Jones B, Walsky R, Dallas S, Balani SK, Zhang G, Buckley D, Tweedie D. Considerations from the IQ Induction Working Group in Response to Drug-Drug Interaction Guidance from Regulatory Agencies: Focus on Downregulation, CYP2C Induction, and CYP2B6 Positive Control. Drug Metab Dispos 2017. [PMID: 28646080 DOI: 10.1124/dmd.116.074567] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The European Medicines Agency (EMA), the Pharmaceutical and Medical Devices Agency (PMDA), and the Food and Drug Administration (FDA) have issued guidelines for the conduct of drug-drug interaction studies. To examine the applicability of these regulatory recommendations specifically for induction, a group of scientists, under the auspices of the Drug Metabolism Leadership Group of the Innovation and Quality (IQ) Consortium, formed the Induction Working Group (IWG). A team of 19 scientists, from 16 of the 39 pharmaceutical companies that are members of the IQ Consortium and two Contract Research Organizations reviewed the recommendations, focusing initially on the current EMA guidelines. Questions were collated from IQ member companies as to which aspects of the guidelines require further evaluation. The EMA was then approached to provide insights into their recommendations on the following: 1) evaluation of downregulation, 2) in vitro assessment of CYP2C induction, 3) the use of CITCO as the positive control for CYP2B6 induction by CAR, 4) data interpretation (a 2-fold increase in mRNA as evidence of induction), and 5) the duration of incubation of hepatocytes with test article. The IWG conducted an anonymous survey among IQ member companies to query current practices, focusing specifically on the aforementioned key points. Responses were received from 19 companies. All data and information were blinded before being shared with the IWG. The results of the survey are presented, together with consensus recommendations on downregulation, CYP2C induction, and CYP2B6 positive control. Results and recommendations related to data interpretation and induction time course will be reported in subsequent articles.
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Affiliation(s)
- Niresh Hariparsad
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Diane Ramsden
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Jairam Palamanda
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Joshua G Dekeyser
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Odette A Fahmi
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Jane R Kenny
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Heidi Einolf
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Michael Mohutsky
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Magalie Pardon
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Y Amy Siu
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Liangfu Chen
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Michael Sinz
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Barry Jones
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Robert Walsky
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Shannon Dallas
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Suresh K Balani
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - George Zhang
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - David Buckley
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
| | - Donald Tweedie
- Vertex Pharmaceuticals, Boston, Massachusetts (N.H.); Genentech, South San Francisco, California (J.R.K.); Novartis Pharmaceuticals, Florham Park, New Jersey (H.E.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Merck and Co., Kenilworth, New Jersey (J.P.), Amgen Inc., Thousand Oaks, California (J.D.), Pfizer Global Research and Development, Groton, Connecticut (O.A.F.); Sanofi Pharmaceuticals, ChillyMazarin, France (M.P.); Eisai Pharmaceuticals, Andover, Massachusetts (A.Y.S.); Glaxo SmithKline, King of Prussia, Pennsylvania (L.C.); Bristol-Myers Squibb, Wallingford, Connecticut (M.S.); AstraZeneca, Mölndal, Sweden (B.J.); EMD Serono, Billerica, Massachusetts (R.W.);Janssen R&D, Spring House, Pennsylvania (S.D.); Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceuticals Co., Cambridge, Massachusetts (S.K.B.); Corning Life Sciences; Woburn, Massachusetts (G.Z.); XenoTech LLC, Lenexa, Kansas (D.B.); Merck and Co., West Point, Pennsylvania (D.T.)
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He L, Zhou X, Huang N, Li H, Li T, Yao K, Tian Y, Hu CAA, Yin Y. Functions of pregnane X receptor in self-detoxification. Amino Acids 2017; 49:1999-2007. [PMID: 28534176 DOI: 10.1007/s00726-017-2435-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 05/03/2017] [Indexed: 12/19/2022]
Abstract
Pregnane X receptor (PXR, NR1I2), a member of the nuclear receptor superfamily, is a crucial regulator of nutrient metabolism and metabolic detoxification such as metabolic syndrome, xenobiotic metabolism, inflammatory responses, glucose, cholesterol and lipid metabolism, and endocrine homeostasis. Notably, much experimental and clinical evidence show that PXR senses xenobiotics and triggers the detoxification response to prevent diseases such as diabetes, obesity, intestinal inflammatory diseases and liver fibrosis. In this review we summarize recent advances on remarkable metabolic and regulatory versatility of PXR, and we emphasizes its role and potential implication as an effective modulator of self-detoxification in animals and humans.
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Affiliation(s)
- Liuqin He
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center of Healthy Livestock and Poultry, Changsha, 410125, Hunan, China.,University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Xihong Zhou
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center of Healthy Livestock and Poultry, Changsha, 410125, Hunan, China
| | - Niu Huang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, Hunan, China
| | - Huan Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, Hunan, China
| | - Tiejun Li
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center of Healthy Livestock and Poultry, Changsha, 410125, Hunan, China.,Hunan Co-Innovation Center of Animal Production Safety, Changsha, 410128, Hunan, China
| | - Kang Yao
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center of Healthy Livestock and Poultry, Changsha, 410125, Hunan, China. .,College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, Hunan, China. .,Hunan Co-Innovation Center of Animal Production Safety, Changsha, 410128, Hunan, China.
| | - Yanan Tian
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, Hunan, China.,Department of Veterinary Physiology and Pharmacology, Texas A & M University, College Station, TX, 77843, USA
| | - Chien-An Andy Hu
- Department of Biochemistry and Molecular Biology, University of New Mexico, Health Sciences Center, MSC08 4670, Albuquerque, USA
| | - Yulong Yin
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center of Healthy Livestock and Poultry, Changsha, 410125, Hunan, China. .,Hunan Co-Innovation Center of Animal Production Safety, Changsha, 410128, Hunan, China.
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29
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Takahashi RH, Shahidi-Latham SK, Wong S, Chang JH. Applying Stable Isotope Labeled Amino Acids in Micropatterned Hepatocyte Coculture to Directly Determine the Degradation Rate Constant for CYP3A4. Drug Metab Dispos 2017; 45:581-585. [DOI: 10.1124/dmd.116.074393] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 03/10/2017] [Indexed: 11/22/2022] Open
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30
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Fowler S, Morcos PN, Cleary Y, Martin-Facklam M, Parrott N, Gertz M, Yu L. Progress in Prediction and Interpretation of Clinically Relevant Metabolic Drug-Drug Interactions: a Minireview Illustrating Recent Developments and Current Opportunities. CURRENT PHARMACOLOGY REPORTS 2017; 3:36-49. [PMID: 28261547 PMCID: PMC5315728 DOI: 10.1007/s40495-017-0082-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW This review gives a perspective on the current "state of the art" in metabolic drug-drug interaction (DDI) prediction. We highlight areas of successful prediction and illustrate progress in areas where limits in scientific knowledge or technologies prevent us from having full confidence. RECENT FINDINGS Several examples of success are highlighted. Work done for bitopertin shows how in vitro and clinical data can be integrated to give a model-based understanding of pharmacokinetics and drug interactions. The use of interpolative predictions to derive explicit dosage recommendations for untested DDIs is discussed using the example of ibrutinib, and the use of DDI predictions in lieu of clinical studies in new drug application packages is exemplified with eliglustat and alectinib. Alectinib is also an interesting case where dose adjustment is unnecessary as the activity of a major metabolite compensates sufficiently for changes in parent drug exposure. Examples where "unusual" cytochrome P450 (CYP) and non-CYP enzymes are responsible for metabolic clearance have shown the importance of continuing to develop our repertoire of in vitro regents and techniques. The time-dependent inhibition assay using human hepatocytes suspended in full plasma allowed improved DDI predictions, illustrating the importance of continued in vitro assay development and refinement. SUMMARY During the past 10 years, a highly mechanistic understanding has been developed in the area of CYP-mediated metabolic DDIs enabling the prediction of clinical outcome based on preclinical studies. The combination of good quality in vitro data and physiologically based pharmacokinetic modeling may now be used to evaluate DDI risk prospectively and are increasingly accepted in lieu of dedicated clinical studies.
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Affiliation(s)
- Stephen Fowler
- Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Peter N. Morcos
- Pharmaceutical Reseach and Early Development, Roche Innovation Center New York, F. Hoffmann-La Roche Ltd., 430 East 29th Street, New York City, NY USA
| | - Yumi Cleary
- Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Meret Martin-Facklam
- Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Neil Parrott
- Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Michael Gertz
- Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Li Yu
- Pharmaceutical Reseach and Early Development, Roche Innovation Center New York, F. Hoffmann-La Roche Ltd., 430 East 29th Street, New York City, NY USA
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31
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Moore A, Chothe PP, Tsao H, Hariparsad N. Evaluation of the Interplay between Uptake Transport and CYP3A4 Induction in Micropatterned Cocultured Hepatocytes. Drug Metab Dispos 2016; 44:1910-1919. [PMID: 27655038 DOI: 10.1124/dmd.116.072660] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 09/16/2016] [Indexed: 01/06/2023] Open
Abstract
Previously we assessed the inductive response of prototypical inducers in hepatocyte monocultures and the long-term coculture model HepatoPac using cryopreserved hepatocytes from the same donors. We noted that the rifampicin EC50 generated using the HepatoPac model corresponded better to the EC50 based on clinical data compared with data generated in the monoculture system. We postulated that there may be differences in the functioning of uptake transporters between the two systems that may have led to the EC50 difference. In this study, we characterized the functional activity of multiple uptake transporters in the two systems using cryopreserved hepatocytes from the same donors. Our data suggest that uptake transporter activity is higher in HepatoPac compared with the monoculture system. As a follow up to this study, we measured the intracellular concentrations of rifampicin and bosentan, which are known substrates of uptake transporters; we observed significantly higher intracellular concentrations of both compounds in HepatoPac relative to the monoculture system. This finding equated to lower cytochrome P450 isoform 3A4 (CYP3A4) EC50 values in the HepatoPac system compared with the monoculture system for both mRNA and activity. In parallel, no significant EC50 shift was observed for carbamazepine and phenytoin, which are not known to be substrates of uptake transporters. Our data suggest that next generation liver models such as HepatoPac may be a useful in vitro tool to quantitatively predict drug-drug interactions when it is known that the perpetrator is also a substrate of drug transporters.
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Affiliation(s)
- Amanda Moore
- Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals Incorporated, Boston, Massachusetts
| | - Paresh P Chothe
- Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals Incorporated, Boston, Massachusetts
| | - Hong Tsao
- Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals Incorporated, Boston, Massachusetts
| | - Niresh Hariparsad
- Drug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals Incorporated, Boston, Massachusetts
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32
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Hultman I, Vedin C, Abrahamsson A, Winiwarter S, Darnell M. Use of HμREL Human Coculture System for Prediction of Intrinsic Clearance and Metabolite Formation for Slowly Metabolized Compounds. Mol Pharm 2016; 13:2796-807. [PMID: 27377099 DOI: 10.1021/acs.molpharmaceut.6b00396] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Design of slowly metabolized compounds is an important goal in many drug discovery projects. Standard hepatocyte suspension intrinsic clearance (CLint) methods can only provide reliable CLint values above 2.5 μL/min/million cells. A method that permits extended incubation time with maintained performance and metabolic activity of the in vitro system is warranted to allow in vivo clearance predictions and metabolite identification of slowly metabolized drugs. The aim of this study was to evaluate the static HμREL coculture of human hepatocytes with stromal cells to be set up in-house as a standard method for in vivo clearance prediction and metabolite identification of slowly metabolized drugs. Fourteen low CLint compounds were incubated for 3 days, and seven intermediate to high CLint compounds and a cocktail of cytochrome P450 (P450) marker substrates were incubated for 3 h. In vivo clearance was predicted for 20 compounds applying the regression line approach, and HμREL coculture predicted the human intrinsic clearance for 45% of the drugs within 2-fold and 70% of the drugs within 3-fold of the clinical values. CLint values as low as 0.3 μL/min/million hepatocytes were robustly produced, giving 8-fold improved sensitivity of robust low CLint determination, over the cutoff in hepatocyte suspension CLint methods. The CLint values of intermediate to high CLint compounds were at similar levels both in HμREL coculture and in freshly thawed hepatocytes. In the HμREL coculture formation rates for five P450-isoform marker reactions, paracetamol (CYP1A2), 1-OH-bupropion (CYP2B6), 4-OH-diclofenac (CYP2C9), and 1-OH-midazolam (3A4) were within the range of literature values for freshly thawed hepatocytes, whereas 1-OH-bufuralol (CYP2D6) formation rate was lower. Further, both phase I and phase II metabolites were detected and an increased number of metabolites were observed in the HμREL coculture compared to hepatocyte suspension. In conclusion, HμREL coculture can be applied to accurately estimate intrinsic clearance of slowly metabolized drugs and is now utilized as a standard method for in vivo clearance prediction of such compounds in-house.
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Affiliation(s)
- Ia Hultman
- Drug Safety & Metabolism and §RIA iMed DMPK, AstraZeneca R&D Gothenburg , 431 83 Mölndal, Sweden
| | - Charlotta Vedin
- Drug Safety & Metabolism and §RIA iMed DMPK, AstraZeneca R&D Gothenburg , 431 83 Mölndal, Sweden
| | - Anna Abrahamsson
- Drug Safety & Metabolism and §RIA iMed DMPK, AstraZeneca R&D Gothenburg , 431 83 Mölndal, Sweden
| | - Susanne Winiwarter
- Drug Safety & Metabolism and §RIA iMed DMPK, AstraZeneca R&D Gothenburg , 431 83 Mölndal, Sweden
| | - Malin Darnell
- Drug Safety & Metabolism and §RIA iMed DMPK, AstraZeneca R&D Gothenburg , 431 83 Mölndal, Sweden
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