中国临床药理学与治疗学 ›› 2026, Vol. 31 ›› Issue (7): 975-989.doi: 10.12092/j.issn.1009-2501.2026.07.014
卢思翰1,2(
), 鲍广霖1,2, 孙建国1,2,3,*(
)
收稿日期:2025-12-11
修回日期:2026-02-13
出版日期:2026-07-26
发布日期:2026-08-04
通讯作者:
孙建国
E-mail:3223071772@stu.cpu.edu.cn;jgsun@cpu.edu.cn
作者简介:卢思翰,男,硕士研究生,研究方向:临床前药代动力学。E-mail:基金资助:
Sihan LU1,2(
), Guanglin BAO1,2, Jianguo SUN1,2,3,*(
)
Received:2025-12-11
Revised:2026-02-13
Online:2026-07-26
Published:2026-08-04
Contact:
Jianguo SUN
E-mail:3223071772@stu.cpu.edu.cn;jgsun@cpu.edu.cn
摘要:
药物的肝脏代谢研究对药物开发、临床用药指导及药物安全性评估具有重要意义。传统体外肝脏模型虽应用广泛,但在功能维持、预测准确性与生理模拟方面存在局限性,促使多种新型体外肝脏模型被开发。现有综述多侧重于新型模型构建技术的介绍或性能的比较,而系统梳理不同新型模型在药物代谢研究中应用特点的文献较少。在综述近年来新型体外肝脏模型特点及其所采用新技术的基础上,本文进一步将模型功能特性与具体药物代谢研究应用场景对应分析,归纳其在代谢稳定性、代谢物鉴定与药物相互作用评估等方面的表现。以期为体外模型的合理选择与规范化应用提供参考,支持药物的临床前研究与临床应用。
中图分类号:
卢思翰, 鲍广霖, 孙建国. 新型体外肝脏代谢模型及其应用进展[J]. 中国临床药理学与治疗学, 2026, 31(7): 975-989.
Sihan LU, Guanglin BAO, Jianguo SUN. Novel in vitro liver metabolism models and their applications progress[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(7): 975-989.
| Model | Common cell sources | Cell culture techniques | Advantages | Limitations |
| Sandwich culture model | PHH | Sandwich culture | Well-defined bile canaliculi, sustained metabolic function for extended periods, suitable for hepatobiliary drug-excretion and transporter studies | Limited physiological relevance in two-dimensional formats, limited maintenance of metabolic function |
| Spheroid model | PHH, iPSC, HepG2, HepaRG | ULA plate culture, hanging drop culture, hydrogel encapsulation, micropatterned plate culture, cell co-culture | High-throughput; long-term maintenance of metabolic function, physiological polarity and extracellular matrix, suitable for metabolism studies of low-clearance drugs | Prone to necrotic-core formation, heterogeneous spheroid formation, challenging real-time monitoring of spheroid interiors |
| Liver organoid model | Liver tissue, iPSC | Cell co-culture, hydrogel encapsulation, scaffold engineering | High fidelity to organ biology, long-term maintenance of metabolic function, suitable for studies of inter-individual variability | Prone to necrotic-core formation, complex culture procedures, high cost |
| Liver-on-a-chip | PHH, iPSC, HepG2, HepaRG | Microfluidic integration, micropatterned culture, cell co-culture, three-dimensional scaffold culture | High physiological relevance, Reduced susceptibility to central necrosis, long-term maintenance of metabolic function, real-time online monitoring, precise control of microenvironmental physiological parameters, suitable for complex metabolic studies | High technical barrier, high cost |
表 1
Table 1 Overview of novel in vitro liver models
| Model | Common cell sources | Cell culture techniques | Advantages | Limitations |
| Sandwich culture model | PHH | Sandwich culture | Well-defined bile canaliculi, sustained metabolic function for extended periods, suitable for hepatobiliary drug-excretion and transporter studies | Limited physiological relevance in two-dimensional formats, limited maintenance of metabolic function |
| Spheroid model | PHH, iPSC, HepG2, HepaRG | ULA plate culture, hanging drop culture, hydrogel encapsulation, micropatterned plate culture, cell co-culture | High-throughput; long-term maintenance of metabolic function, physiological polarity and extracellular matrix, suitable for metabolism studies of low-clearance drugs | Prone to necrotic-core formation, heterogeneous spheroid formation, challenging real-time monitoring of spheroid interiors |
| Liver organoid model | Liver tissue, iPSC | Cell co-culture, hydrogel encapsulation, scaffold engineering | High fidelity to organ biology, long-term maintenance of metabolic function, suitable for studies of inter-individual variability | Prone to necrotic-core formation, complex culture procedures, high cost |
| Liver-on-a-chip | PHH, iPSC, HepG2, HepaRG | Microfluidic integration, micropatterned culture, cell co-culture, three-dimensional scaffold culture | High physiological relevance, Reduced susceptibility to central necrosis, long-term maintenance of metabolic function, real-time online monitoring, precise control of microenvironmental physiological parameters, suitable for complex metabolic studies | High technical barrier, high cost |
图 1
Fig.1 Schematic diagram of common scaffold-free spheroid formation methods (A) Hanging drop method: droplets formed by surface tension on the inner side of the lid, dispersed single cells within each droplet settle under gravity and gradually aggregate into spheroids; (B) ultra-low attachment plate method: generation of high-quality cellular spheroids using ultra-low attachment plates.
| Compound | Fold error | ||||
| HepaRG | SCC | Suspension | MPCC | Sph | |
| Diazepam | 0.2 | 0.6 | NA | 1.1 | 0.8 |
| Etodolac | 0.8 | 0.7 | 0.3 | 0.5 | 1.6 |
| Glipizide | 0.2 | 0.3 | 0.8 | 0.4 | 0.5 |
| Ketoprofen | 0.9 | 1.6 | 0.7 | 2.2 | 0.9 |
| Ondansetron | 1.4 | 1.0 | 1.8 | 2.5 | 1.8 |
| Theophylline | NA | ND | NA | 1.7 | 3.5 |
| Tolbutamide | ND | 1.9 | 4.9 | 1.2 | 2.3 |
| Warfarin | 1.3 | 1.0 | NA | 2.3 | 1.4 |
表 2
Table 2 Prediction fold errors of clearance for low-clearance compounds across different cell systems[85]
| Compound | Fold error | ||||
| HepaRG | SCC | Suspension | MPCC | Sph | |
| Diazepam | 0.2 | 0.6 | NA | 1.1 | 0.8 |
| Etodolac | 0.8 | 0.7 | 0.3 | 0.5 | 1.6 |
| Glipizide | 0.2 | 0.3 | 0.8 | 0.4 | 0.5 |
| Ketoprofen | 0.9 | 1.6 | 0.7 | 2.2 | 0.9 |
| Ondansetron | 1.4 | 1.0 | 1.8 | 2.5 | 1.8 |
| Theophylline | NA | ND | NA | 1.7 | 3.5 |
| Tolbutamide | ND | 1.9 | 4.9 | 1.2 | 2.3 |
| Warfarin | 1.3 | 1.0 | NA | 2.3 | 1.4 |
| 1 |
Venkatakrishnan K, Von Moltke LL, Greenblatt DJ. Human drug metabolism and the cytochromes P450: application and relevance of in vitro models[J]. J Clin Pharmacol, 2001, 41 (11): 1149- 1179.
doi: 10.1177/00912700122012724 |
| 2 | Almazroo OA, Miah MK, Venkataramanan R. Drug metabolism in the liver[J]. Clin Liver Dis, 2017, 21 (1): 1- 20. |
| 3 | Zushin PH, Mukherjee S, Wu JC. FDA Modernization Act 2.0: transitioning beyond animal models with human cells, organoids, and AI/ML-based approaches[J]. J Clin Invest, 2023, 133 (21): e273567. |
| 4 | 王颖, 潘国宇. 肝样细胞模型在药物肝脏代谢和毒性研究中的进展[J]. 药学进展, 2018, 42 (8): 581- 591. |
| 5 |
Li CM, Lu Y, Narayanan R, et al. Drug metabolism and pharmacokinetics of 4-substituted methoxybenzoyl-aryl-thiazoles[J]. Drug Metab Dispos, 2010, 38 (11): 2032- 2039.
doi: 10.1124/dmd.110.034348 |
| 6 |
Sowjanya G, Ganapaty S, Sharma R. In vitro test methods for metabolite identification: a review[J]. Asian J Pharm Pharmacol, 2019, 5 (4): 441- 450.
doi: 10.31024/ajpp.2019.5.3.2 |
| 7 | López-Terrada D, Cheung SW, Finegold MJ, et al. Hep G2 is a hepatoblastoma-derived cell line[J]. Hum Pathol, 2009, 40 (10): 1512- 1515. |
| 8 |
Westerink WM, Schoonen WG. Phase II enzyme levels in HepG2 cells and cryopreserved primary human hepatocytes and their induction in HepG2 cells[J]. Toxicol In Vitro, 2007, 21 (8): 1592- 1602.
doi: 10.1016/j.tiv.2007.06.017 |
| 9 |
Gripon P, Rumin S, Urban S, et al. Infection of a human hepatoma cell line by hepatitis B virus[J]. Proc Natl Acad Sci U S A, 2002, 99 (24): 15655- 15660.
doi: 10.1073/pnas.232137699 |
| 10 |
Guillouzo A, Corlu A, Aninat C, et al. The human hepatoma HepaRG cells: a highly differentiated model for studies of liver metabolism and toxicity of xenobiotics[J]. Chem Biol Interact, 2007, 168 (1): 66- 73.
doi: 10.1016/j.cbi.2006.12.003 |
| 11 |
Klein S, Mueller D, Schevchenko V, et al. Long-term maintenance of HepaRG cells in serum-free conditions and application in a repeated dose study[J]. J Appl Toxicol, 2014, 34 (10): 1078- 1086.
doi: 10.1002/jat.2929 |
| 12 |
Wilkening S, Stahl F, Bader A. Comparison of primary human hepatocytes and hepatoma cell line Hepg2 with regard to their biotransformation properties[J]. Drug Metab Dispos, 2003, 31 (8): 1035- 1042.
doi: 10.1124/dmd.31.8.1035 |
| 13 |
Green CJ, Charlton CA, Wang LM, et al. The isolation of primary hepatocytes from human tissue: optimising the use of small non-encapsulated liver resection surplus[J]. Cell Tissue Bank, 2017, 18 (4): 597- 604.
doi: 10.1007/s10561-017-9641-6 |
| 14 | Keemink J, Oorts M, Annaert P. Primary Hepatocytes in Sandwich Culture[J]. Methods Mol Biol, 2015, 1250, 175- 188. |
| 15 |
Yang K, Guo C, Woodhead JL, et al. Sandwich-cultured hepatocytes as a tool to study drug disposition and drug-induced liver injury[J]. J Pharm Sci, 2016, 105 (2): 443- 459.
doi: 10.1016/j.xphs.2015.11.008 |
| 16 |
Nakakariya M, Ono M, Amano N, et al. In vivo biliary clearance should be predicted by intrinsic biliary clearance in sandwich-cultured hepatocytes[J]. Drug Metab Dispos, 2012, 40 (3): 602- 609.
doi: 10.1124/dmd.111.042101 |
| 17 |
Bi YA, Kimoto E, Sevidal S, et al. In vitro evaluation of hepatic transporter-mediated clinical drug-drug interactions: hepatocyte model optimization and retrospective investigation[J]. Drug Metab Dispos, 2012, 40 (6): 1085- 1092.
doi: 10.1124/dmd.111.043489 |
| 18 |
Wu YL, Xue YR, Guo ZT, et al. Furmonertinib (Alflutinib, AST2818) is a potential positive control drug comparable to rifampin for evaluation of CYP3A4 induction in sandwich-cultured primary human hepatocytes[J]. Acta Pharmacol Sin, 2022, 43 (3): 747- 756.
doi: 10.1038/s41401-021-00692-7 |
| 19 |
Cox CR, Lynch S, Goldring C, et al. Current perspective: 3D spheroid models utilizing human-based cells for investigating metabolism-dependent drug-induced liver injury[J]. Front Med Technol, 2020, 2, 611913.
doi: 10.3389/fmedt.2020.611913 |
| 20 |
Fontoura JC, Viezzer C, Dos Santos FG, et al. Comparison of 2D and 3D cell culture models for cell growth, gene expression and drug resistance[J]. Mater Sci Eng C, 2020, 107, 110264.
doi: 10.1016/j.msec.2019.110264 |
| 21 |
Vu B, Souza GR, Dengjel J. Scaffold-free 3D cell culture of primary skin fibroblasts induces profound changes of the matrisome[J]. Matrix Biol Plus, 2021, 11, 100066.
doi: 10.1016/j.mbplus.2021.100066 |
| 22 | Ho TC, Chang CC, Chan HP, et al. Hydrogels: properties and applications in biomedicine[J]. Molecules, 2022, 27 (9): 2829. |
| 23 |
Antoine EE, Vlachos PP, Rylander MN. Review of collagen I hydrogels for bioengineered tissue microenvironments: characterization of mechanics, structure, and transport[J]. Tissue Eng Part B Rev, 2014, 20 (6): 683- 696.
doi: 10.1089/ten.teb.2014.0086 |
| 24 |
Deng S, Zhu Y, Zhao X, et al. Efficient fabrication of monodisperse hepatocyte spheroids and encapsulation in hybrid hydrogel with controllable extracellular matrix effect[J]. Biofabrication, 2021, 14 (1): 015009.
doi: 10.1088/1758-5090/ac2b89 |
| 25 |
Zhang N, Milleret V, Thompson-Steckel G, et al. Soft hydrogels featuring in-depth surface density gradients for the simple establishment of 3D tissue models for screening applications[J]. SLAS Discov, 2017, 22 (5): 635- 644.
doi: 10.1177/2472555217693191 |
| 26 |
Lin RZ, Chou LF, Chien CC, et al. Dynamic analysis of hepatoma spheroid formation: roles of E-cadherin and beta1-integrin[J]. Cell Tissue Res, 2006, 324 (3): 411- 422.
doi: 10.1007/s00441-005-0148-2 |
| 27 |
Foty R. A simple hanging drop cell culture protocol for generation of 3D spheroids[J]. J Vis Exp, 2011 (51): e2720.
doi: 10.3791/2720 |
| 28 | Ryu NE, Lee SH, Park H. Spheroid culture system methods and applications for mesenchymal stem cells[J]. Cells, 2019, 8 (12): 1532. |
| 29 | Papapostolou I, Bochen F, Peinelt C, et al. A simple and fast method for the formation and downstream processing of cancer-cell-derived 3D spheroids: an example using nicotine-treated A549 lung cancer 3D spheres[J]. Methods Protoc, 2023, 6 (5): 92. |
| 30 |
Hurrell T, Ellero AA, Masso ZF, et al. Characterization and reproducibility of HepG2 hanging drop spheroids toxicology in vitro[J]. Toxicol In Vitro, 2018, 50, 86- 94.
doi: 10.1016/j.tiv.2018.02.013 |
| 31 |
Ramaiahgari SC, Waidyanatha S, Dixon D, et al. Three-dimensional (3D) HepaRG spheroid model With physiologically relevant xenobiotic metabolism competence and hepatocyte functionality for liver toxicity screening[J]. Toxicol Sci, 2017, 160 (1): 189- 199.
doi: 10.1093/toxsci/kfx194 |
| 32 |
Shin DS, Seo H, Yang JY, et al. Quantitative evaluation of cytochrome P450 3A4 inhibition and Hepatotoxicity in HepaRG 3-D spheroids[J]. Int J Toxicol, 2018, 37 (5): 393- 403.
doi: 10.1177/1091581818780149 |
| 33 |
Bell CC, Chouhan B, Andersson LC, et al. Functionality of primary hepatic non-parenchymal cells in a 3D spheroid model and contribution to acetaminophen hepatotoxicity[J]. Arch Toxicol, 2020, 94 (4): 1251- 1253.
doi: 10.1007/s00204-020-02682-w |
| 34 |
Baze A, Parmentier C, Hendriks DFG, et al. Three-dimensional spheroid primary human hepatocytes in monoculture and coculture with nonparenchymal cells[J]. Tissue Eng Part C Methods, 2018, 24 (9): 534- 545.
doi: 10.1089/ten.tec.2018.0134 |
| 35 |
Proctor WR, Foster AJ, Vogt J, et al. Utility of spherical human liver microtissues for prediction of clinical drug-induced liver injury[J]. Arch Toxicol, 2017, 91 (8): 2849- 2863.
doi: 10.1007/s00204-017-2002-1 |
| 36 |
Kanebratt KP, Janefeldt A, Vilén L, et al. Primary human hepatocyte spheroid model as a 3D In vitro platform for metabolism studies[J]. J Pharm Sci, 2021, 110 (1): 422- 431.
doi: 10.1016/j.xphs.2020.10.043 |
| 37 |
Huch M, Koo BK. Modeling mouse and human development using organoid cultures[J]. Development, 2015, 142 (18): 3113- 3125.
doi: 10.1242/dev.118570 |
| 38 |
Harrison SP, Baumgarten SF, Verma R, et al. Liver organoids: recent developments, limitations and potential[J]. Front Med (Lausanne), 2021, 8, 574047.
doi: 10.3389/fmed.2021.574047 |
| 39 |
Huch M, Dorrell C, Boj SF, et al. In vitro expansion of single Lgr5+ liver stem cells induced by Wnt-driven regeneration[J]. Nature, 2013, 494 (7436): 247- 250.
doi: 10.1038/nature11826 |
| 40 |
Huch M, Gehart H, Van Boxtel R, et al. Long-term culture of genome-stable bipotent stem cells from adult human liver[J]. Cell, 2015, 160 (1-2): 299- 312.
doi: 10.1016/j.cell.2014.11.050 |
| 41 | Hu H, Gehart H, Artegiani B, et al. Long-Term expansion of functional mouse and human hepatocytes as 3D organoids [J]. Cell, 2018, 175 (6): 1591-1606. e1519. |
| 42 |
Huch M, Boj SF, Clevers H. Lgr5 (+) liver stem cells, hepatic organoids and regenerative medicine[J]. Regen Med, 2013, 8 (4): 385- 387.
doi: 10.2217/rme.13.39 |
| 43 |
Broutier L, Mastrogiovanni G, Verstegen MM, et al. Human primary liver cancer-derived organoid cultures for disease modeling and drug screening[J]. Nat Med, 2017, 23 (12): 1424- 1435.
doi: 10.1038/nm.4438 |
| 44 |
Gong D, Mo J, Zhai M, et al. Advances, challenges and future applications of liver organoids in experimental regenerative medicine[J]. Front Med (Lausanne), 2024, 11, 1521851.
doi: 10.3389/fmed.2024.1521851 |
| 45 |
Drost J, Clevers H. Translational applications of adult stem cell-derived organoids[J]. Development, 2017, 144 (6): 968- 975.
doi: 10.1242/dev.140566 |
| 46 |
Broutier L, Andersson-Rolf A, Hindley CJ, et al. Culture and establishment of self-renewing human and mouse adult liver and pancreas 3D organoids and their genetic manipulation[J]. Nat Protoc, 2016, 11 (9): 1724- 1743.
doi: 10.1038/nprot.2016.097 |
| 47 |
Zhu L, Liu S, Wang Z, et al. Modeling hepatic steatosis with human adult stem cell-derived liver organoids[J]. iScience, 2025, 28 (5): 112344.
doi: 10.1016/j.isci.2025.112344 |
| 48 |
Nantasanti S, Spee B, Kruitwagen HS, et al. Disease modeling and gene therapy of copper storage disease in canine Hepatic organoids[J]. Stem Cell Reports, 2015, 5 (5): 895- 907.
doi: 10.1016/j.stemcr.2015.09.002 |
| 49 | Ouchi R, Togo S, Kimura M, et al. Modeling Steatohepatitis in humans with pluripotent stem cell-derived organoids [J]. Cell Metab, 2019, 30 (2): 374-384. e376. |
| 50 |
Thompson WL, Takebe T. Generation of multi-cellular human liver organoids from pluripotent stem cells[J]. Methods Cell Biol, 2020, 159, 47- 68.
doi: 10.1016/bs.mcb.2020.03.009 |
| 51 |
Mun SJ, Hong YH, Shin Y, et al. Efficient and reproducible generation of human induced pluripotent stem cell-derived expandable liver organoids for disease modeling[J]. Sci Rep, 2023, 13 (1): 22935.
doi: 10.1038/s41598-023-50250-w |
| 52 |
Harrison SP, Siller R, Tanaka Y, et al. Scalable production of tissue-like vascularized liver organoids from human PSCs[J]. Exp Mol Med, 2023, 55 (9): 2005- 2024.
doi: 10.1038/s12276-023-01074-1 |
| 53 |
An L, Liu Y, Liu Y. Organ-on-a-chip applications in microfluidic platforms[J]. Micromachines (Basel), 2025, 16 (2): 256.
doi: 10.3390/mi16020201 |
| 54 |
Kimura H, Sakai Y, Fujii T. Organ/body-on-a-chip based on microfluidic technology for drug discovery[J]. Drug Metab Pharmacokinet, 2018, 33 (1): 43- 48.
doi: 10.1016/j.dmpk.2017.11.003 |
| 55 |
Docci L, Milani N, Ramp T, et al. Exploration and application of a liver-on-a-chip device in combination with modelling and simulation for quantitative drug metabolism studies[J]. Lab Chip, 2022, 22 (6): 1187- 1205.
doi: 10.1039/D1LC01161H |
| 56 |
Godoy P, Hewitt NJ, Albrecht U, et al. Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME[J]. Arch Toxicol, 2013, 87 (8): 1315- 1530.
doi: 10.1007/s00204-013-1078-5 |
| 57 | Ma Y, Hu L, Tang J, et al. Three-dimensional cell co-culture liver models and their applications in pharmaceutical research[J]. Int J Mol Sci, 2023, 24 (7): 6321. |
| 58 |
Caplin JD, Granados NG, James MR, et al. Microfluidic organ-on-a-chip technology for advancement of drug development and toxicology[J]. Adv Healthc Mater, 2015, 4 (10): 1426- 1450.
doi: 10.1002/adhm.201500040 |
| 59 |
Fitzpatrick E, Wu Y, Dhadda P, et al. Coculture with mesenchymal stem cells results in improved viability and function of human hepatocytes[J]. Cell Transplant, 2015, 24 (1): 73- 83.
doi: 10.3727/096368913X674080 |
| 60 |
Bale SS, Golberg I, Jindal R, et al. Long-term coculture strategies for primary hepatocytes and liver sinusoidal endothelial cells[J]. Tissue Eng Part C Methods, 2015, 21 (4): 413- 422.
doi: 10.1089/ten.tec.2014.0152 |
| 61 |
Bale SS, Borenstein JT. Microfluidic cell culture platforms to capture hepatic physiology and complex cellular interactions[J]. Drug Metab Dispos, 2018, 46 (11): 1638- 1646.
doi: 10.1124/dmd.118.083055 |
| 62 |
Zhang MY, Lee PJ, Hung PJ, et al. Microfluidic environment for high density hepatocyte culture[J]. Biomed Microdevices, 2008, 10 (1): 117- 121.
doi: 10.1007/s10544-007-9116-9 |
| 63 |
Lopa S, Piraino F, Talò G, et al. Microfluidic biofabrication of 3d multicellular spheroids by modulation of non-geometrical parameters[J]. Front Bioeng Biotechnol, 2020, 8, 366.
doi: 10.3389/fbioe.2020.00366 |
| 64 | Taroncher M, Gonzalez-Suarez AM, Gwon K, et al. Using microfluidic hepatic spheroid cultures to assess liver toxicity of T-2 mycotoxin[J]. Cells, 2024, 13 (11): 1426. |
| 65 |
Toh YC, Lim TC, Tai D, et al. A microfluidic 3D hepatocyte chip for drug toxicity testing[J]. Lab Chip, 2009, 9 (14): 2026- 2035.
doi: 10.1039/b900912d |
| 66 |
Bavli D, Prill S, Ezra E, et al. Real-time monitoring of metabolic function in liver-on-chip microdevices tracks the dynamics of mitochondrial dysfunction[J]. Proc Natl Acad Sci U S A, 2016, 113 (16): E2231- E2240.
doi: 10.1073/pnas.1522556113 |
| 67 |
Liu Y, Li H, Yan S, et al. Hepatocyte cocultures with endothelial cells and fibroblasts on micropatterned fibrous mats to promote liver-specific functions and capillary formation capabilities[J]. Biomacromolecules, 2014, 15 (3): 1044- 1054.
doi: 10.1021/bm401926k |
| 68 |
Busche M, Tomilova O, Schütte J, et al. HepaChip-MP - a twenty-four chamber microplate for a continuously perfused liver coculture model[J]. Lab Chip, 2020, 20 (16): 2911- 2926.
doi: 10.1039/D0LC00357C |
| 69 |
Sung JH. Pharmacokinetic-based multi-organ chip for recapitulating organ interactions[J]. Methods Cell Biol, 2018, 146, 183- 197.
doi: 10.1016/bs.mcb.2018.05.008 |
| 70 |
Li ZA, Tuan RS. Towards establishing human body-on-a-chip systems[J]. Stem Cell Res Ther, 2022, 13 (1): 431.
doi: 10.1186/s13287-022-03130-5 |
| 71 |
Milani N, Parrott N, Ortiz Franyuti D, et al. Application of a gut-liver-on-a-chip device and mechanistic modelling to the quantitative in vitro pharmacokinetic study of mycophenolate mofetil[J]. Lab Chip, 2022, 22 (15): 2853- 2868.
doi: 10.1039/D2LC00276K |
| 72 |
Wang M, Sasaki Y, Sakagami R, et al. Perfluoropolyether-based gut-liver-on-a-chip for the evaluation of first-pass metabolism and oral bioavailability of drugs[J]. ACS Biomater Sci Eng, 2024, 10 (7): 4635- 4634.
doi: 10.1021/acsbiomaterials.4c00605 |
| 73 |
Schimek K, Frentzel S, Luettich K, et al. Human multi-organ chip co-culture of bronchial lung culture and liver spheroids for substance exposure studies[J]. Sci Rep, 2020, 10 (1): 7865.
doi: 10.1038/s41598-020-64219-6 |
| 74 |
Lin N, Zhou X, Geng X, et al. Repeated dose multi-drug testing using a microfluidic chip-based coculture of human liver and kidney proximal tubules equivalents[J]. Sci Rep, 2020, 10 (1): 8879.
doi: 10.1038/s41598-020-65817-0 |
| 75 |
Bovard D, Sandoz A, Luettich K, et al. A lung/liver-on-a-chip platform for acute and chronic toxicity studies[J]. Lab Chip, 2018, 18 (24): 3814- 3829.
doi: 10.1039/C8LC01029C |
| 76 |
Ishida S. Organs-on-a-chip: Current applications and consideration points for in vitro ADME-Tox studies[J]. Drug Metab Pharmacokinet, 2018, 33 (1): 49- 54.
doi: 10.1016/j.dmpk.2018.01.003 |
| 77 |
Mak KK, Epemolu O, Pichika MR. The role of DMPK science in improving pharmaceutical research and development efficiency[J]. Drug Discov Today, 2022, 27 (3): 705- 729.
doi: 10.1016/j.drudis.2021.11.005 |
| 78 |
Wu Y, Pan L, Chen Z, et al. Metabolite identification in the preclinical and clinical phase of drug development[J]. Curr Drug Metab, 2021, 22 (11): 838- 857.
doi: 10.2174/1389200222666211006104502 |
| 79 |
Chiba M, Ishii Y, Sugiyama Y. Prediction of hepatic clearance in human from in vitro data for successful drug development[J]. AAPS J, 2009, 11 (2): 262- 276.
doi: 10.1208/s12248-009-9103-6 |
| 80 |
刘晓东. 生理药代动力学模型在创新药物评价中应用及其若干问题的思考[J]. 中国临床药理学与治疗学, 2021, 26 (8): 889- 913.
doi: 10.12092/j.issn.1009-2501.2021.08.005 |
| 81 |
Sodhi JK, Benet LZ. Successful and unsuccessful prediction of human hepatic clearance for lead optimization[J]. J Med Chem, 2021, 64 (7): 3546- 3559.
doi: 10.1021/acs.jmedchem.0c01930 |
| 82 |
Stringer R, Nicklin PL, Houston JB. Reliability of human cryopreserved hepatocytes and liver microsomes as in vitro systems to predict metabolic clearance[J]. Xenobiotica, 2008, 38 (10): 1313- 1329.
doi: 10.1080/00498250802446286 |
| 83 |
Swift B, Pfeifer ND, Brouwer KL. Sandwich-cultured hepatocytes: an in vitro model to evaluate hepatobiliary transporter-based drug interactions and hepatotoxicity[J]. Drug Metab Rev, 2010, 42 (3): 446- 471.
doi: 10.3109/03602530903491881 |
| 84 |
Smith CM, Nolan CK, Edwards MA, et al. A comprehensive evaluation of metabolic activity and intrinsic clearance in suspensions and monolayer cultures of cryopreserved primary human hepatocytes[J]. J Pharm Sci, 2012, 101 (10): 3989- 4002.
doi: 10.1002/jps.23262 |
| 85 |
Preiss LC, Georgi K, Lauschke VM, et al. Comparison of human long-term liver models for clearance prediction of slowly metabolized compounds[J]. Drug Metab Dispos, 2024, 52 (6): 539- 547.
doi: 10.1124/dmd.123.001638 |
| 86 |
Kratochwil NA, Meille C, Fowler S, et al. Metabolic profiling of human long-term liver models and hepatic clearance predictions from in vitro data using nonlinear mixed-effects modeling[J]. AAPS J, 2017, 19 (2): 534- 550.
doi: 10.1208/s12248-016-0019-7 |
| 87 |
Sakolish C, Luo YS, Valdiviezo A, et al. Prediction of hepatic drug clearance with a human microfluidic four-cell liver acinus microphysiology system[J]. Toxicology, 2021, 463, 152954.
doi: 10.1016/j.tox.2021.152954 |
| 88 |
Bonn B, Svanberg P, Janefeldt A, et al. Determination of human hepatocyte intrinsic clearance for slowly metabolized compounds: comparison of a primary hepatocyte/stromal cell co-culture with plated primary Hepatocytes and HepaRG[J]. Drug Metab Dispos, 2016, 44 (4): 527- 533.
doi: 10.1124/dmd.115.067769 |
| 89 |
Backfisch G, Reder-Hilz B, Hoeckels-Messemer J, et al. High-throughput quantitative and qualitative analysis of microsomal incubations by cocktail analysis with an ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometer system[J]. Bioanalysis, 2015, 7 (6): 671- 683.
doi: 10.4155/bio.14.314 |
| 90 | Negi CK, Sakolish C, Tsai HH, et al. Comparative analysis of species-specific hepatocyte function and drug effects in a liver microphysiological system physioMimix LC12 and 96-well plates [J]. ACS Pharmacol Transl Sci, 2025. |
| 91 |
Bell CC, Dankers ACA, Lauschke VM, et al. Comparison of Hepatic 2D sandwich cultures and 3D spheroids for long-term toxicity applications: a multicenter study[J]. Toxicol Sci, 2018, 162 (2): 655- 666.
doi: 10.1093/toxsci/kfx289 |
| 92 |
Ohkura T, Ohta K, Nagao T, et al. Evaluation of human hepatocytes cultured by three-dimensional spheroid systems for drug metabolism[J]. Drug Metab Pharmacokinet, 2014, 29 (5): 373- 378.
doi: 10.2133/dmpk.DMPK-13-RG-105 |
| 93 |
Ramaiahgari SC, Waidyanatha S, Dixon D, et al. From the cover: three-dimensional (3D) HepaRG spheroid model with physiologically relevant xenobiotic metabolism competence and hepatocyte functionality for liver toxicity screening[J]. Toxicol Sci, 2017, 159 (1): 124- 136.
doi: 10.1093/toxsci/kfx122 |
| 94 | U. S. Food and Drug Administration. Guidance for Industry; In vitro drug interaction studies - Cytochrome P450 enzyme and transportermediated drug interactions [EB/OL]. 2020 [2025-10-20]. https://www.fda.gov/media/134582/download. |
| 95 |
Fujita Y, Miyake T, Shao X, et al. Omeprazole induces CYP3A4 mRNA expression but not CYP3A4 protein expression in HepaRG cells[J]. Biol Pharm Bull, 2024, 47 (6): 1218- 1223.
doi: 10.1248/bpb.b24-00161 |
| 96 |
Obach RS, Walsky RL, Venkatakrishnan K, et al. The utility of in vitro cytochrome P450 inhibition data in the prediction of drug-drug interactions[J]. J Pharmacol Exp Ther, 2006, 316 (1): 336- 348.
doi: 10.1124/jpet.105.093229 |
| 97 | Kaur I, Vasudevan A, Rawal P, et al. Primary hepatocyte isolation and cultures: technical aspects, challenges and advancements[J]. Bioengineering (Basel), 2023, 10 (2): 245. |
| 98 |
Wegler C, Matsson P, Krogstad V, et al. Influence of proteome profiles and intracellular drug exposure on differences in CYP activity in donor-matched human liver microsomes and hepatocytes[J]. Mol Pharm, 2021, 18 (4): 1792- 1805.
doi: 10.1021/acs.molpharmaceut.1c00053 |
| 99 |
Sison-Young RL, Mitsa D, Jenkins RE, et al. Comparative proteomic characterization of 4 human liver-derived single cell culture models reveals significant variation in the capacity for drug disposition, bioactivation, and detoxication[J]. Toxicol Sci, 2015, 147 (2): 412- 424.
doi: 10.1093/toxsci/kfv136 |
| 100 |
Järvinen E, Hammer HS, Pötz O, et al. 3D spheroid primary human hepatocytes for prediction of cytochrome P450 and drug transporter induction[J]. Clin Pharmacol Ther, 2023, 113 (6): 1284- 1294.
doi: 10.1002/cpt.2887 |
| 101 |
Ohri S, Parekh P, Nichols L, et al. Utilization of a human Liver tissue chip for drug-metabolizing enzyme induction studies of perpetrator and victim drugs[J]. Drug Metab Dispos, 2025, 53 (1): 100004.
doi: 10.1124/dmd.124.001497 |
| 102 |
Zhang Z, Farooq M, Prasad B, et al. Prediction of gestational age-dependent induction of in vivo hepatic CYP3A activity based on HepaRG cells and human hepatocytes[J]. Drug Metab Dispos, 2015, 43 (6): 836- 842.
doi: 10.1124/dmd.114.062984 |
| 103 | Pfeifer ND, Goss SL, Swift B, et al. Effect of Ritonavir on (99m) technetium-mebrofenin disposition in humans: A semi-pbpk modeling and in vitro approach to predict transporter-mediated DDIs[J]. CPT Pharmacometrics Syst Pharmacol, 2013, 2 (1): e20. |
| 104 |
Fukuda H, Nakanishi T, Tamai I. More relevant prediction for in vivo drug interaction of candesartan cilexetil on hepatic bile acid transporter BSEP using sandwich-cultured hepatocytes[J]. Drug Metab Pharmacokinet, 2014, 29 (1): 94- 96.
doi: 10.2133/dmpk.DMPK-13-NT-049 |
| 105 |
Murayama N, Yamazaki H. Cytochrome P450-dependent drug oxidation activities in commercially available hepatocytes derived from human induced pluripotent stem cells cultured for 3 weeks[J]. J Toxicol Sci, 2018, 43 (4): 241- 245.
doi: 10.2131/jts.43.241 |
| 106 |
Takayama K, Morisaki Y, Kuno S, et al. Prediction of interindividual differences in hepatic functions and drug sensitivity by using human iPS-derived hepatocytes[J]. Proc Natl Acad Sci U S A, 2014, 111 (47): 16772- 16777.
doi: 10.1073/pnas.1413481111 |
| 107 |
Lee-Montiel FT, Laemmle A, Charwat V, et al. Integrated isogenic human induced pluripotent stem cell-based liver and heart microphysiological systems predict unsafe drug-drug interaction[J]. Front Pharmacol, 2021, 12, 667010.
doi: 10.3389/fphar.2021.667010 |
| 108 |
Skottvoll FS, Hansen FA, Harrison S, et al. Electromembrane extraction and mass spectrometry for liver organoid drug metabolism studies[J]. Anal Chem, 2021, 93 (7): 3576- 3585.
doi: 10.1021/acs.analchem.0c05082 |
| 109 |
Ott LM, Ramachandran K, Stehno-Bittel L. An automated multiplexed hepatotoxicity and CYP induction assay using heparg cells in 2D and 3D[J]. SLAS Discov, 2017, 22 (5): 614- 625.
doi: 10.1177/2472555217701058 |
| 110 |
孙广晨, 李宏宇, 陈江, 等. 类器官在生物医学中研究进展及应用[J]. 临床军医杂志, 2023, 51 (11): 1206- 1210.
doi: 10.16680/j.1671-3826.2023.11.28 |
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