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Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening
Open accessAbstract
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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“3D tissue models, such as in vitro tissue-engineered disease models have shown promise for addressing the current obstacles faced with 2D in vitro cultured cells and animal models [352–356].”
From Cardiovascular disease models: A game changing paradigm in drug discovery and screening (2019) · cites this paper as [354]
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Metadata
- 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
- Venue
- SLAS Technology
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 20
- Issue
- 3
- Pages
- 201-215
- ISSN
- 2472-6303 (ISSN-L)
- 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
- 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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