ReviewArchives of pharmacal research2022
Advances in liver organoids: model systems for liver disease.
Review in Archives of pharmacal research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Liver Organoids: From Disease Modelling to Regenerative Medicine.Cell proliferation · 2026Review
- Drug resistance mechanisms of immunotherapy and translational strategies for reversing resistance for hepatocellular carcinoma: from bench to bedside.Frontiers in immunology · 2026Review
- iPSC-Derived Liver Organoids as a Tool to Study Medium Chain Acyl-CoA Dehydrogenase Deficiency.Journal of inherited metabolic disease · 2025Article
- Emerging biotechnologies for engineering liver organoids.Bioactive materials · 2025Review
- Organoid as a promising tool for primary liver cancer research: a comprehensive review.Cell & bioscience · 2024Review
- Mesenchymal Stromal Cell-Derived Extracellular Vesicles for Reversing Hepatic Fibrosis in 3D Liver Spheroids.Biomedicines · 2024Article
- Advanced 3D imaging and organoid bioprinting for biomedical research and therapeutic applications.Advanced drug delivery reviews · 2024Review
- Farnesoid X receptor: a potential key target for maintaining liver organoid growth.Biomaterials translational · 2024Article
- Circadian regulation of liver metabolism: experimental approaches in human, rodent, and cellular models.American journal of physiology. Cell physiology · 2023Review
- Placenta mesenchymal stem cell-derived extracellular vesicles alleviate liver fibrosis by inactivating hepatic stellate cells through a miR-378c/SKP2 axis.Inflammation and regeneration · 2023Article
- Liver Organoids as an In Vitro Model to Study Primary Liver Cancer.International journal of molecular sciences · 2023Review
- Emerging novel targets for nonalcoholic fatty liver disease treatment: Evidence from recent basic studies.World journal of gastroenterology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Reliable in vitro models with human-derived cells that recapitulate in vivo-like physiologies are required for drug discovery and development to reduce the gap between the results of cell-based drug testing, animal testing, and human clinical trials. Liver organoid models have emerged as novel tools for hepatotoxicity evaluation, liver disease modeling, and drug screening. Liver organoids can be generated from biopsies of liver tissues or pluripotent stem cells and can be applied to various liver diseases, including metabolic associated fatty liver disease, infectious liver disease, genetic liver disease, and liver cancer. This review focuses on recent studies on organoids to model human liver diseases and discusses the advantages and limitations of current liver organoids for translational applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.