Evidence map›Paper›PMID 41422067›Full record

ArticleStem cell research & therapy2025

Modeling pathogenesis and progression of metabolic dysfunction-associated steatotic liver disease and therapeutic drug screening using hESC-derived mature polarized hepatocyte organoids.

Changlu Qin, Haibin Wu, Peilin Liao, Wenjiao Yan, Xinyi Shi, Jinghe Xie, Shoupei Liu, Sen Chen, Xiangting Cao, Yongjian Zhou and 1 more

Abstract read
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Article in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Changlu Qin *Department of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Haibin Wu *Department of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Peilin Liao *Laboratory of Stem Cells and Translational Medicine, Center for Medical Research on Innovation and Translation, Institute of Clinical Medicine, Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Wenjiao YanDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Xinyi ShiDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Jinghe XieLaboratory of Stem Cells and Translational Medicine, Institute for Life Science, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Shoupei LiuDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Sen ChenDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Xiangting CaoDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Yongjian ZhouDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China. yongjian_zhou@outlook.com.
Yuyou DuanDepartment of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China. yuyouduan@scut.edu.cn.

Funding

Foundation of Guangzhou Key Clinical Specialties (Institute of Clinical Medicine) 2024-2026National Key Research and Development Program of China 2018YFA0108201Project of Key Medical Discipline in Guangzhou 2025-2027Research Starting Funding of South China University of Technology D6201880, K5180910, K5204120, and D6212440Research Starting Funding of the Second Affiliated Hospital of South China University of Technology KY09060026
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD), the most prevalent chronic liver disorder worldwide, exhibits complex pathogenesis and lacks effective targeted therapeutics. Existing animal models are limited by prolonged induction periods and interspecies discrepancies, while conventional monolayer hepatocyte cultures fail to recapitulate disease pathology due to inadequate polarization and functional immaturity.

methodsTo overcome these limitations, we established an in vitro MASLD model by treating human embryonic stem cell (hESC)-derived mature polarized hepatocyte organoids (P-hep-orgs) with free fatty acids (FFAs). Pathogenesis and progression of MASLD in this model were characterized using multiple assays, and its utility for drug screening was validated with three known antioxidant or lipid-lowering agents.

resultsP-hep-orgs derived from hESCs expressed mature hepatocyte markers (e.g., ALB), exhibited polarized architecture (e.g., MRP2) and demonstrated functionalities of mature hepatocytes (e.g., urea production). Moreover, we developed an in vitro MASLD model by treating P-hep-orgs with FFAs. This model recapitulated key pathological progression hallmarks, including disrupted glucose/lipid metabolism, oxidative stress, apoptosis, loss of polarization, impaired liver function, and ductular reaction. Furthermore, transcriptomic analysis revealed that P-hep-orgs treated with FFAs for 10 days shared similar molecular signatures with human MASH liver tissues (581 overlap DEGs). Finally, this model was used to assess the potential efficacy of established antioxidant or lipid-lowering agents (e.g., Vitamin E) in alleviating pathological phenotypes, including lipid accumulation and oxidative stress.

conclusionsIn summary, we established a novel in vitro MASLD model using hESC-derived P-hep-orgs. This model faithfully recapitulates key aspects of MASLD progression and serves as a valuable platform for investigating disease mechanisms and screening potential therapeutic compounds.

Indexed as

Fatty LiverHepatocytesHuman Embryonic Stem CellsOrganoidsCell DifferentiationDisease ProgressionDrug Evaluation, PreclinicalFatty Acids, NonesterifiedHumansModels, BiologicalFatty Acids, NonesterifiedDrug screeningFree fatty acidsHepatocyte organoidsHuman embryonic stem cellsMetabolic dysfunction-associated steatotic liver diseasePolarized structure

Identifiers

PMID41422067
PMCPMC12831402

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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.