3D Primary Hepatocyte Culture Systems for Analyses of Liver Diseases, Drug Metabolism, and Toxicity: Emerging Culture Paradigms and Applications
Abstract
Recent research has shown that the maintenance of relevant liver functions ex vivo requires models in which the cells exhibit an in vivo‐like phenotype, often achieved by reconstitution of appropriate cellular interactions. Multiple different models have been presented that differ in the cells utilized, media, and culture conditions. Furthermore, several technologically different approaches have been presented including bioreactors, chips, and plate‐based systems in fluidic or static media constituting of chemically diverse materials. Using such models, the ability to predict drug metabolism, drug toxicity, and liver functionality have increased tremendously as compared to conventional in vitro models in which cells are cultured as 2D monolayers. Here, the authors highlight important considerations for microphysiological systems for primary hepatocyte culture, review current culture paradigms, and discuss their opportunities for studies of drug metabolism, hepatotoxicity, liver biology, and disease.
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Advanced 3D human hepatocyte culture models improve maintenance of the organotypic microenvironment, including multicellular spheroids and microphysiological systems.
“Advanced 3D human hepatocyte culture models presented in recent years improve the maintenance of the organotypic microenvironment, including multicellular spheroids and microphysiological systems (MPS) [4][5][6][7][8][9] .”
From 3D microperfusion of mesoscale human microphysiological liver models improves functionality and recapitulates hepatic zonation (2023) · cites this paper as [6]
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Cited by
Sorted by citations
Hendriks, D. F. G., Vorrink, S. U., Smutny, T., Sim, S. C., Nordling, Å., Ullah, S., Kumondai, M., Jones, B. C., Johansson, I., Andersson, T. B., et al. (2020) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1860 · Cited by 57 · see citing works
Self-citationIn Vitro Three‐Dimensional Liver Models for Nanomaterial DNA Damage Assessment
Llewellyn, S. V., Niemeijer, M., Nymark, P., Moné, M. J., van de Water, B., Conway, G. E., Jenkins, G. J. S., & Doak, S. H. (2021) · Small · doi:10.1002/smll.202006055 · Cited by 41 · see citing works
<i>In vitro</i> functional models for human liver diseases and drug screening: beyond animal testing
Paradiso, A., Volpi, M., Rinoldi, C., Celikkin, N., Contessi Negrini, N., Bilgen, M., Dallera, G., Pierini, F., Costantini, M., Święszkowski, W., et al. (2023) · Biomaterials Science · doi:10.1039/d1bm01872h · Cited by 40 · see citing works
Wesseler, M. F., Taebnia, N., Harrison, S., Youhanna, S., Preiss, L. C., Kemas, A. M., Vegvari, A., Mokry, J., Sullivan, G. J., Lauschke, V. M., et al. (2023) · Acta Biomaterialia · doi:10.1016/j.actbio.2023.09.022 · Cited by 39 · see citing works
Self-citation
- Authors
- Lauschke, V. M., Shafagh, R. Z., Hendriks, D. F. G., & Ingelman‐Sundberg, M.
- Affiliations
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Biomedicum 5B Karolinska Institutet SE‐171 77 Stockholm Sweden
- Venue
- Biotechnology Journal
- Publisher
- Wiley
- Published
- 2019-05-20
- Volume
- 14
- Issue
- 7
- ISSN
- 1860-6768
- 1860-7314
- Cited by
- 135
- References
- 10
- Language
- en
- Funders
- Vetenskapsrådet (2015‐02760, 2016‐01154, 2016‐01153)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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