Aug 2026· Cell Proliferation· 0 citations· 100 references
Medicine
TL;DR
This review systematically summarises current fabrication strategies, disease‐modelling utilities and regenerative potentials of liver organoids, alongside the major challenges and future directions.
Abstract
ABSTRACT Liver organoids are three‐dimensional miniature liver models that recapitulate the complex architecture and key functions of the human liver in vitro, offering powerful platforms for both fundamental research and translational applications. This review systematically summarises current fabrication strategies, disease‐modelling utilities and regenerative potentials of liver organoids, alongside the major challenges and future directions. In recent years, the field has witnessed several breakthroughs. Through endothelial co‐culture approaches, vascularised and metabolically zonated liver organoids have been successfully generated, achieving endothelial coverage exceeding 85%. Prime editing enables precise correction of pathogenic mutations in patient‐derived organoids, with no off‐target effects detected at the genome‐wide level. In disease modelling, iPSC‐derived liver organoids faithfully recapitulate the pathological progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) and verify the lipid‐lowering efficacy of semaglutide. Macrophage‐integrated organoid models support the full life cycles of HEV, SARS‐CoV‐2 and dengue virus, providing new tools for antiviral drug screening. Large‐scale patient‐derived tumour organoid biobanks successfully preserve the heterogeneity and clinical drug‐resistance signatures of liver cancers. In regenerative medicine, encapsulated hepatocyte organoids and the UTOpiA bioartificial liver system have effectively rescued acute liver failure in animal models, while gene‐edited autologous organoids offer potential curative strategies for genetic disorders such as Wilson disease. Nevertheless, insufficient hepatocyte functional maturity, difficulties in constructing vascular networks, and the lack of standardised culture protocols remain major obstacles to clinical translation. By bridging fundamental liver biology and clinical practice, liver organoid technology lays a solid foundation for precision hepatology and regenerative therapies. Continued interdisciplinary efforts are still required to overcome current limitations and facilitate its clinical adoption.
It is argued that formation of a tumour-intrinsic niche is a prerequisite for BRAF-mutant CRC seeding to distant organs and that interference with niche formation may help avoid metastatic relapse.
J. Bugter, L. El Bouazzaoui, E. Küçükköse et al.· bioRxiv· 2 citations
It is concluded that bridging the gap between foundational CRISPR research and its real-world applications is imperative and future efforts should focus on democratizing tools via open-source platforms, advancing delivery systems, and fostering sustainable innovation through synthetic biology integration to fully realize the transformative potential of genome editing in organisms beyond model organisms.
S. Sarsaiya, Archana Jain, Jishuang Chen et al.· Biotechnology Advances· 2 citations
A virus-like particle (VLP)-based toolkit that delivers diverse CRISPR editing modalities to human monocytes, macrophages and dendritic cells with high efficiency while preserving viability and innate immune responsiveness is presented.
Hyuncheol Jung, Pascal Devant, Carter Ching et al.· Nature Biotechnology· 0 citations
Findings provide direct functional evidence that szl regulates median caudal patterning in goldfish and suggest that szl-dependent modulation of the Chordin/BMP network can generate twin-tail-like caudal morphology.
Huijuan Li, Xiaoying Zhang, Xiaowen Wang et al.· International Journal of Mol...· 0 citations
This review summarizes the trajectory of iPSC reprogramming technologies and identifies the core “translational triltrilas”, namely, the inherent tradeoffs between security, homogeneity, and scalability, and proposes a comprehensive strategy to overcome these bottlenecks.
Mengmeng Chen, Ning Zuo, Qi Wang et al.· Frontiers in Cell and Develo...· 0 citations
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026