The DOI matches its Crossref record; 103 of the 106 references it cites were found in a registry or an index.
Organoids to model liver disease
Open accessAbstract
The organoid model represents a major breakthrough in cell biology that has revolutionised biomedical research. Organoids are 3D physiological in vitro structures that recapitulate morphological and functional features of in vivo tissues and offer significant advantages over traditional cell culture methods. Liver organoids are of particular interest because of the pleiotropy of functions exerted by the human liver, their utility to model different liver diseases, and their potential application as cell-based therapies in regenerative medicine. Moreover, because they can be derived from patient tissues, organoid models offer new perspectives in personalised medicine and drug discovery. In this review, we discuss the current liver organoid models for the study of liver disease.
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“Among the most impactful advances has been the rise of 3D liver organoid systems, which better preserve cell identity and enable longer-term propagation compared with traditional 2D models while also supporting patient-specific disease modeling and drug testing approaches [40,41].”
From The Hepatocyte Expansion Paradox: A Review of In Vitro Challenges and Advances (2026) · cites this paper as [40]
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“PSC-derived hepatocyte-like cells illustrate this well; they generally show lower functional recapitulation than PHs, and most fail to self-renew post-differentiation, requiring repeated rounds of de novo differentiation that constrain their direct substitutability with adult hepatocyte systems [40].”
From The Hepatocyte Expansion Paradox: A Review of In Vitro Challenges and Advances (2026) · cites this paper as [40]
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Cites
Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche
Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204
Fitzmaurice, C., Allen, C., Barber, R. M., Barregård, L., Bhutta, Z. A., Brenner, H., Dicker, D., Chimed‐Ochir, O., Dandona, R., Dandona, L., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.5688 · Cited by 6,318
Identification of stem cells in small intestine and colon by marker gene Lgr5
Barker, N., van Es, J. H., Kuipers, J., Kujala, P., van den Born, M., Cozijnsen, M., Haegebarth, A., Korving, J., Begthel, H., Peters, P. J., et al. (2007) · Nature · doi:10.1038/nature06196 · Cited by 5,687
Villanueva, A. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1713263 · Cited by 4,508
Mechanisms of NAFLD development and therapeutic strategies
Friedman, S. L., Neuschwander-Tetri, B. A., Rinella, M., & Sanyal, A. J. (2018) · Nature Medicine · doi:10.1038/s41591-018-0104-9 · Cited by 4,354
Organoid Models and Applications in Biomedical Research
Xinaris, C., Brizi, V., & Remuzzi, G. (2015) · The Nephron journals/Nephron journals · doi:10.1159/000433566 · Cited by 3,519
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
Primary carcinoma of the liver.A study of 100 cases among 48,900 necropsies
Edmondson, H. A., & Steiner, P. E. (1954) · Cancer · doi:10.1002/1097-0142(195405)7:3 · Cited by 2,789
Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer
Öhlund, D., Handly-Santana, A., Biffi, G., Elyada, E., Almeida, A. S., Ponz-Sarvise, M., Corbo, V., Oni, T. E., Hearn, S. A., Lee, E. J., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162024 · Cited by 2,590
Vascularized and functional human liver from an iPSC-derived organ bud transplant
Takebe, T., Sekine, K., Enomura, M., Koike, H., Kimura, M., Ogaeri, T., Zhang, R.-R., Ueno, Y., Zheng, Y.-W., Koike, N., et al. (2013) · Nature · doi:10.1038/nature12271 · Cited by 2,170
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Yin, Y., Guo, H., Chen, J., Yang, Y., Li, X., & Zhang, X. (2025) · Chemistry & Biodiversity · doi:10.1002/cbdv.202402772 · Cited by 4
Ma, C. D., Horn, C. G. V., Wan, M., Bishop, C. E., & Bonkovsky, H. L. (2022) · Pharmacology Research & Perspectives · doi:10.1002/prp2.951 · Cited by 4
Kim, H. M., Kim, Y., Kim, Y., Kim, Y. J., & Ko, K. S. (2023) · Preventive Nutrition and Food Science · doi:10.3746/pnf.2023.28.3.360 · Cited by 6
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Noh, H., Choi, S., Park, K. W., Lee, S., Seok, D. W., Kim, Y. E., Kwon, H., Kim, H., Park, H., Kim, T., et al. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.4c00612 · Cited by 6
Handschin, C., Shalhoub, H., Mazet, A., Guyon, C., Dusserre, N., Boutet-Robinet, E. A., Oliveira, H., & Guillermet‐Guibert, J. (2025) · Biofabrication · doi:10.1088/1758-5090/adb51c · Cited by 5
Tong, Y., Ueyama-Toba, Y., & Mizuguchi, H. (2023) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2023.101432 · Cited by 4
Gong, Y., Danoy, M., Kido, T., Mitsuhashi, K., Choi, H.-J., Matsugi, T., Yang, J., Esashika, K., TAKAHASHI, J. C., Nishikawa, M., et al. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28485 · Cited by 4
Silva, B. M., & Bragança, J. (2025) · World Journal of Stem Cells · doi:10.4252/wjsc.v17.i2.99331 · Cited by 3
Gallego‐Durán, R., Albillos, A., Ampuero, J., Arechederra, M., Bañares, R., Blas‐García, A., Berná, G., Caparrós, E., Delgado, T. C., Falcón‐Pérez, J. M., et al. (2022) · Gastroenterología y Hepatología (English Edition) · doi:10.1016/j.gastre.2022.02.004 · Cited by 3
NAFLD and AATD Are Two Diseases with Unbalanced Lipid Metabolism: Similarities and Differences
Pérez-Luz, S., Matamala, N., Gómez‐Mariano, G., Janciauskiene, S. M., & Martínez–Delgado, B. (2023) · Biomedicines · doi:10.3390/biomedicines11071961 · Cited by 3
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Li, M., Wu, Q., & Tam, P. K. H. (2023) · Stem Cell Reviews and Reports · doi:10.1007/s12015-023-10592-4 · Cited by 3
The utilisation of biliary organoids for biomedical applications
Lei, Z., Yang, Y., & Xiang, Y. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1501829 · Cited by 3
Wani, S. I., Mir, T. A., Nakamura, M. M., Tsuchiya, T., Alzhrani, A., Iwanaga, S., Arai, K., Alshehri, E. A., Shamma, T., Obeid, D. A., et al. (2024) · Bioprinting · doi:10.1016/j.bprint.2024.e00355 · Cited by 2
Prakash, A., Malviya, R., Sridhar, S. B., Othman, R. Q. A., Agarwal, A., Wadhwa, T., & SHAREEF, J. (2026) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-025-04848-8 · Cited by 3
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Modeling Metabolic Diseases with Organoids: A Review
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Zhong, Q., He, Y., Li, T., Zhang, Y., Zhang, T., Zhang, Y., Li, Q., Zhao, B., Chen, D., & Zhong, Z. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.26.554935 · Cited by 2
Higher-Order In Vitro Models of Dysregulated Bioenergetics Mechanisms and Drug Development
Muralidaran, Y., Perur, A., Jayaprabhu, R., & Rajagopal, S. (2025) · Springer eBooks · doi:10.1007/978-981-97-5742-8_6 · Cited by 1
Experimental Models of Autoimmune Hepatitis: Disease Fidelity and Translational Relevance
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Gayan, S., Chitnis, M. S., Kshirsagar, D., & Dey, T. (2024) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815136869124010007 · Cited by 1
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Zhang, R., Li, D., Zhao, R., Luo, D., Hu, Y., Wang, S., Zhuo, X., Iqbal, M. Z., Zhang, H., Han, Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26688911
Zhang, R., Li, D., Zhao, R., Luo, D., Hu, Y., Wang, S., Zhuo, X., Iqbal, M. Z., Zhang, H., Han, Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26688899
Zhang, R., Li, D., Zhao, R., Luo, D., Hu, Y., Wang, S., Zhuo, X., Iqbal, M. Z., Zhang, H., Han, Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26688917
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Heo, J., Chae, D., Park, H. S., Yu, A., Park, J. H., Cho, K., Kim, J., Lee, H., Jee, S., Kim, C., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-43852-7
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Alikhani, H. K., Majidi, F., Ghasemzad, M., Shpichka, A. I., Nestorova, A., Hendi, Z., Rismani, E., Kuznetsova, D. S., Timashev, P., Vosough, M., et al. (2026) · Pharmacology Research & Perspectives · doi:10.1002/prp2.70306
Wan, Z., Zhang, H., Zhang, L., Cao, X., An, L., Wang, B., Guan, J., Jia, J., Liu, C., Jin, X., et al. (2026) · Stem Cells Translational Medicine · doi:10.1093/stcltm/szag073
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Metadata
- Authors
- Nuciforo, S., & Heim, M. H.
- Affiliations
- University of Basel (CH)
- Corresponding author
- Heim, Markus H.
- Venue
- JHEP Reports
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 3
- Issue
- 1
- Pages
- 100198
- ISSN
- 2589-5559 (ISSN-L)
- PMC
- PMC7672322
- OpenAlex
- W3094299399
- Cited by
- 164
- References
- 106
- Citations by year
- 2026: 16 · 2025: 30 · 2024: 40 · 2023: 31 · 2022: 27 · 2021: 19
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JHEP Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- SystemsX.ch
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- European Research Council
- Topics
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- liver organoids, liver disease modeling, organoid culture, regenerative medicine, cell therapy, personalized medicine, drug discovery, patient-derived tissue
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