3D cell culture models: Drug pharmacokinetics, safety assessment, and regulatory consideration

被引:99
|
作者
Wang, Hongbing [1 ]
Brown, Paul C. [2 ]
Chow, Edwin C. Y. [3 ]
Ewart, Lorna [4 ]
Ferguson, Stephen S. [5 ]
Fitzpatrick, Suzanne [6 ]
Freedman, Benjamin S. [7 ,8 ,9 ]
Guo, Grace L. [10 ]
Hedrich, William [11 ]
Heyward, Scott [12 ]
Hickman, James [13 ]
Isoherranen, Nina [14 ]
Li, Albert P. [15 ,16 ]
Liu, Qi [3 ]
Mumenthaler, Shannon M. [17 ]
Polli, James [1 ]
Proctor, William R. [18 ]
Ribeiro, Alexandre [3 ]
Wang, Jian-Ying [19 ]
Wange, Ronald L. [2 ]
Huang, Shiew-Mei [3 ]
机构
[1] Univ Maryland, Sch Pharm, Dept Pharmaceut Sci, Baltimore, MD 21201 USA
[2] US Food & Drug Adm FDA, Ctr Drug Evaluat & Res, Silver Spring, MD USA
[3] US Food & Drug Adm FDA, Ctr Drug Evaluat & Res, Off Clin Pharmacol, Off Translat Sci, Silver Spring, MD 20903 USA
[4] Emulate, Boston, MA USA
[5] Natl Inst Environm Hlth Sci, Div, Natl Toxicol Program, Res Triangle Pk, NC USA
[6] US Food & Drug Adm FDA, Ctr Director, Ctr Food Safety & Appl Nutr, Off, Silver Spring, MD USA
[7] Univ Washington, Dept Pathol, Div Nephrol, Kidney Res Inst, Seattle, WA 98195 USA
[8] Univ Washington, Inst Stem Cell & Regenerat Med, Seattle, WA 98195 USA
[9] Univ Washington, Dept Med, Seattle, WA USA
[10] Rutgers State Univ, Dept Pharmacol & Toxicol, Ernest Mario Sch Pharm, Piscataway, NJ 08854 USA
[11] Bristol Myers Squibb Co, Pharmaceut Candidate Optimizat, Metab & Pharmacokinet, Princeton, NJ USA
[12] BioIVT, Halethorpe, MD USA
[13] Univ Cent Florida, NanoSci Technol Ctr, Orlando, FL 32816 USA
[14] Univ Washington, Sch Pharm, Dept Pharmaceut, Seattle, WA 98195 USA
[15] Vitro ADMET Labs, Columbia, MD USA
[16] Vitro ADMET Labs, Malden, MA USA
[17] Univ Southern Calif, Lawrence J Ellison Inst Transformat Med, Los Angeles, CA 90007 USA
[18] Genentech Inc, Predict Toxicol, Safety Assessment, San Francisco, CA 94080 USA
[19] Univ Maryland Sch Med, Dept Surg, Cell Biol Grp, Baltimore, MD USA
来源
关键词
HUMAN LIVER MICROTISSUES; IN-VITRO; MICROPHYSIOLOGICAL SYSTEMS; COCULTURE MODEL; GENE-EXPRESSION; METABOLISM; ORGANOIDS; TOXICITY; TRANSPORTERS; INJURY;
D O I
10.1111/cts.13066
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Nonclinical testing has served as a foundation for evaluating potential risks and effectiveness of investigational new drugs in humans. However, the current two-dimensional (2D) in vitro cell culture systems cannot accurately depict and simulate the rich environment and complex processes observed in vivo, whereas animal studies present significant drawbacks with inherited species-specific differences and low throughput for increased demands. To improve the nonclinical prediction of drug safety and efficacy, researchers continue to develop novel models to evaluate and promote the use of improved cell- and organ-based assays for more accurate representation of human susceptibility to drug response. Among others, the three-dimensional (3D) cell culture models present physiologically relevant cellular microenvironment and offer great promise for assessing drug disposition and pharmacokinetics (PKs) that influence drug safety and efficacy from an early stage of drug development. Currently, there are numerous different types of 3D culture systems, from simple spheroids to more complicated organoids and organs-on-chips, and from single-cell type static 3D models to cell co-culture 3D models equipped with microfluidic flow control as well as hybrid 3D systems that combine 2D culture with biomedical microelectromechanical systems. This article reviews the current application and challenges of 3D culture systems in drug PKs, safety, and efficacy assessment, and provides a focused discussion and regulatory perspectives on the liver-, intestine-, kidney-, and neuron-based 3D cellular models.
引用
收藏
页码:1659 / 1680
页数:22
相关论文
共 50 条
  • [1] The application of 3D cell models to support drug safety assessment: Opportunities & challenges
    Roth, Adrian
    Singer, Thomas
    ADVANCED DRUG DELIVERY REVIEWS, 2014, 69 : 179 - 189
  • [2] Predicting drug sensitivity by 3D cell culture models
    Amann A.
    Gamerith G.
    Huber J.M.
    Zwierzina M.
    Hilbe W.
    Zwierzina H.
    memo - Magazine of European Medical Oncology, 2015, 8 (1) : 77 - 80
  • [3] Generation and analysis of 3D cell culture models for drug discovery
    Belfiore, Lisa
    Aghaei, Behnaz
    Law, Andrew M. K.
    Dobrowolski, Jeremy C.
    Raftery, Lyndon J.
    Tjandra, Angie D.
    Yee, Christine
    Piloni, Alberto
    Volkerling, Alexander
    Ferris, Cameron J.
    Engel, Martin
    EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2021, 163
  • [4] Analysis of 3D Cell Culture Models
    Larson, Brad
    Genetic Engineering and Biotechnology News, 2015, 35 (16): : 24 - 25
  • [5] 3D Cell Culture is Ready for Drug Development
    Rimann, Markus
    Angres, Brigitte
    Patocchi-Tenzer, Isabel
    Braum, Susanne
    Graf-Hausner, Ursula
    CHIMIA, 2013, 67 (11) : 823 - 824
  • [6] Comparison of 2D and 3D cell culture models for cell growth, gene expression and drug resistance
    Fontoura, Julia C.
    Viezzer, Christian
    dos Santos, Fabiana G.
    Ligabue, Rosane A.
    Weinlich, Ricardo
    Puga, Renato D.
    Antonow, Dyeison
    Severino, Patricia
    Bonorino, Cristina
    MATERIALS SCIENCE AND ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS, 2020, 107
  • [7] Applications of Biomaterials in 3D Cell Culture and Contributions of 3D Cell Culture to Drug Development and Basic Biomedical Research
    Park, Yujin
    Huh, Kang Moo
    Kang, Sun-Woong
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (05) : 1 - 21
  • [8] Using 3D in vitro cell culture models in anti-cancer drug discovery
    Langhans, Sigrid A.
    EXPERT OPINION ON DRUG DISCOVERY, 2021, 16 (08) : 841 - 850
  • [9] 3D cell culture draws drug developers', interest
    Zimmermann A.
    Genetic Engineering and Biotechnology News, 2016, 36 (16): : 22 - 23
  • [10] Combined 3D quantitative imaging and 3D cell culture for cancer drug discovery
    Vidal, Guillaume
    Lobjois, Valerie
    Souguir, Zied
    Pannetier, Pauline
    Demange, Elise
    Lagarde, Jean-Michel
    CANCER RESEARCH, 2016, 76