Cited by 1713D Printing in Biomedical ResearchTissue Engineering and Regenerative MedicineCellular Mechanics and Interactions

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Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening

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Nam, Ki-Hwan, Smith, Alec S.T., Lone, Saifullah, Kwon, Sunghoon, Kim, Deok-Ho·2015·SLAS Technology

DOI 10.1177/2211068214557813PMC PMC4459652

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Abstract

Most current drug screening assays used to identify new drug candidates are 2D cell-based systems, even though such in vitro assays do not adequately re-create the in vivo complexity of 3D tissues. Inadequate representation of the human tissue environment during a preclinical test can result in inaccurate predictions of compound effects on overall tissue functionality. Screening for compound efficacy by focusing on a single pathway or protein target, coupled with difficulties in maintaining long-term 2D monolayers, can serve to exacerbate these issues when using such simplistic model systems for physiological drug screening applications. Numerous studies have shown that cell responses to drugs in 3D culture are improved from those in 2D, with respect to modeling in vivo tissue functionality, which highlights the advantages of using 3D-based models for preclinical drug screens. In this review, we discuss the development of microengineered 3D tissue models that accurately mimic the physiological properties of native tissue samples and highlight the advantages of using such 3D microtissue models over conventional cell-based assays for future drug screening applications. We also discuss biomimetic 3D environments, based on engineered tissues as potential preclinical models for the development of more predictive drug screening assays for specific disease models.

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Authors: Nam, K.-H., Smith, A. S. T., Lone, S., Kwon, S., & Kim, D.-H.
Affiliations: Seoul National University (KR)
University of Washington (US)
Corresponding author: Kim, Deok-Ho
ORCID: Nam, Ki-Hwan
Smith, Alec S.T.
Lone, Saifullah
Kwon, Sunghoon
Kim, Deok-Ho
Venue: SLAS Technology
Publisher: Elsevier BV
Published: 2015-06
Volume: 20
Issue: 3
Pages: 201-215
ISSN: 2472-6303 (ISSN-L)
DOI: 10.1177/2211068214557813
PMC: PMC4459652
OpenAlex: W1989662123
Cited by: 171
References: 123
Citations by year: 2026: 9 · 2025: 14 · 2024: 10 · 2023: 13 · 2022: 13 · 2021: 13 · 2020: 11 · 2019: 18 · 2018: 25 · 2017: 16 · 2016: 20 · 2015: 9
FWCI: 1.29
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 2497 d)
Locations: SLAS TECHNOLOGY (publishedVersion, cc-by-nc-nd)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: American Heart Association (13SDG14560076)
Muscular Dystrophy Association (MDA 255907, 255907)
Washington State University
University of Washington
Korea Basic Science Institute (D34500)
Institute for Basic Science
National Institutes of Health
National Institute of Arthritis and Musculoskeletal and Skin Diseases (R21AR064395)
Topics: Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
Keywords: 3D tissue models, high-throughput drug screening, preclinical drug testing, tissue engineering, disease models
MeSH terms: Animals, Drug Evaluation, Preclinical, Humans, Organ Culture Techniques, Tissue Engineering, Biomimetics, Nanotechnology, High-Throughput Screening Assays

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Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening

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