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In vitro functional models for human liver diseases and drug screening: beyond animal testing
Open accessAbstract
models have been proposed as an alternative to pre-clinical animal models. These systems have been successfully employed for the investigation of the etiology and dynamics of liver diseases, for drug screening, and - more recently - to design patient-tailored therapies, resulting in potentially higher efficacy and reduced costs compared to other methods. Here, we review the most recent advances in this rapidly evolving field with particular attention to organoid cultures, liver-on-a-chip platforms, and engineered scaffold-based approaches.
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“Physiological relevant in vitro models provide a promising platform for modelling the physiochemical conditions of the hepatic microenvironment (Janani and Mandal, 2021;Kostrzewski et al., 2021;Paradiso et al., 2023).”
From Fast formation and maturation enhancement of human liver organoids using a liver-organoid-on-a-chip (2024) · cites this paper as Paradiso et al., 2023
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Cites
Matrix elasticity directs stem cell lineage specification
Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006) · Cell · doi:10.1016/j.cell.2006.06.044 · Cited by 13,915
Re-epithelialization and immune cell behaviour in an ex vivo human skin model
Rakita, A., Nikolić, N., Mildner, M., Matiasek, J., & Elbe‐Bürger, A. (2020) · Scientific Reports · doi:10.1038/s41598-019-56847-4 · Cited by 8,234
3D bioprinting of tissues and organs
Murphy, S. V., & Atala, A. (2014) · Nature Biotechnology · doi:10.1038/nbt.2958 · Cited by 7,034
Cerebral organoids model human brain development and microcephaly
Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., Homfray, T., Penninger, J. M., Jackson, A. P., & Knoblich, J. A. (2013) · Nature · doi:10.1038/nature12517 · Cited by 5,372
Reactive Oxygen Species in Inflammation and Tissue Injury
Mittal, M., Siddiqui, M. R., Tran, K., Reddy, S. P., & Malik, A. B. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.5149 · Cited by 4,897
Hydrogels in Biology and Medicine: From Molecular Principles to Bionanotechnology
Peppas, N. A., Hilt, J. Z., Khademhosseini, A., & Langer, R. (2006) · Advanced Materials · doi:10.1002/adma.200501612 · Cited by 4,109
Porous scaffold design for tissue engineering
Hollister, S. J. (2005) · Nature Materials · doi:10.1038/nmat1421 · Cited by 3,979
Biomaterials & scaffolds for tissue engineering
O'Brien, F. J. (2011) · Materials Today · doi:10.1016/s1369-7021(11)70058-x · Cited by 3,437
Applications of machine learning in drug discovery and development
Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., Li, B., Madabhushi, A., Shah, P., Spitzer, M., et al. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0024-5 · Cited by 3,228
Organogenesis in a dish: Modeling development and disease using organoid technologies
Lancaster, M. A., & Knoblich, J. A. (2014) · Science · doi:10.1126/science.1247125 · Cited by 2,931
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Research works printed but not linked: 14
- Kishi, 2021, In Vitro Cell. Dev. Biol., 1
- Cunniff, 2021, Histochem. Cell Biol., 1
- I.Kulvinskiene , R.Aldonyte , R.Miksiunas , A.Mobasheri and D.Bironaite , Cell Biol. Transl. Med. Vol. 10 Stem Cells Tissue Regen , 2020 , pp. 43–77
- Ozougwu, 2017, Int. J. Res. Pharm. Biosci., 4, 13
- Tao, 2017, Mediators Inflammation, 4256352
- Peng, 2021, Exp. Mol. Med., 1
- Matsui, 2021, Front. Genet., 2119
- Hou, 2017, Nat. Rev. Mater., 2, 1
- Ye, 2019, Bioengineering, 6
- Wang, 2016, Int. J. Polym. Sci., 2862738
- Kizawa, 2017, Biochem. Biophys. Rep., 10, 186
- Serras, 2021, Front. Cell Dev. Biol., 9, 626805, 10.3389/fcell.2021.626805 · DOI · Paper page
- Lauschke, 2021, Drug Metab. Rev., 1
- Dekkers, 2013, Rare Dis., 1, 939
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From Organ-on-a-Chip to Human-on-a-Chip: A Review of Research Progress and Latest Applications
Huang, Y., Liu, T., Huang, Q., & Wang, Y. (2024) · ACS Sensors · doi:10.1021/acssensors.4c00004 · Cited by 97
Ali, A. S. M., Wu, D., Bannach‐Brown, A., Dhamrait, D., Berg, J., Tolksdorf, B., Lichtenstein, D., Dressler, C., Braeuning, A., Kurreck, J., et al. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2024.100991 · Cited by 45
Designer cellular spheroids with DNA origami for drug screening
Wei, J., Sun, Y., Wang, H., Zhu, T., Li, L., Zhou, Y., Liu, Q., Dai, Z., Li, W., Yang, T., et al. (2024) · Science Advances · doi:10.1126/sciadv.ado9880 · Cited by 40
Fan, Z., Wei, X., Chen, K., Wang, L., & Xu, M. (2023) · Micromachines · doi:10.3390/mi14040878 · Cited by 41
Genome-wide pan-GPCR cell libraries accelerate drug discovery
Yang, H., Wang, Y., Liu, W., He, T., Liao, J., Qian, Z., Zhao, J., Cong, Z., Sun, D., Liu, Z., et al. (2024) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2024.06.023 · Cited by 37
Metadata
- Authors
- Paradiso, A., Volpi, M., Rinoldi, C., Celikkin, N., Contessi Negrini, N., Bilgen, M., Dallera, G., Pierini, F., Costantini, M., Święszkowski, W., & Farè, S.
- Affiliations
- Warsaw University of Technology (PL)
- Institute of Fundamental Technological Research (PL)
- Institute of Physical Chemistry (PL)
- Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Politecnico di Milano, Milan, Italy
- Politecnico di Milano (IT)
- National Interuniversity Consortium of Materials Science and Technology (IT)
- Corresponding author
- Święszkowski, Wojciech
- Farè, Silvia
- ORCID
- Venue
- Biomaterials Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2023
- Volume
- 11
- Issue
- 9
- Pages
- 2988-3015
- ISSN
- 2047-4830 (ISSN-L)
- 2047-4849
- OpenAlex
- W4310705293
- Cited by
- 40
- References
- 230
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 10 · 2023: 4
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Biomaterials Science (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CeON Repository (Centre for Evaluation in Education and Science) (submittedVersion, cc-by)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, cc-by)
- Funders
- Politechnika Warszawska
- European Regional Development Fund
- Ministerstwo Edukacji i Nauki
- Fundacja na rzecz Nauki Polskiej (POIR.04.04.00-00-5ED7/18-00)
- Narodowe Centrum Nauki (2018/31/D/ST8/03647, 2020/37/N/ST5/03272)
- Narodowe Centrum Badań i Rozwoju (PL-TW/VI/3/2019, STRATEGMED3/305813/2/NCBR/2017)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Keywords
- in vitro liver models, drug screening, alternatives to animal testing, organoids, liver-on-a-chip, engineered scaffolds, patient-tailored therapy, liver disease modeling
- MeSH terms
- Animals, Drug Evaluation, Preclinical, Humans, Organoids, Liver Failure, Acute, Models, Animal
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