Hui Wang , Yue Zhu , Pengcheng Shi , Xiangyang Li , Qingyun Bu , Yachun Li , Xiaoyan You , Guoping Zhao
{"title":"Ginsenoside Rb1 improves human nonalcoholic fatty liver disease with liver organoids-on-a-chip","authors":"Hui Wang , Yue Zhu , Pengcheng Shi , Xiangyang Li , Qingyun Bu , Yachun Li , Xiaoyan You , Guoping Zhao","doi":"10.1016/j.engreg.2024.06.002","DOIUrl":null,"url":null,"abstract":"<div><p>Non-alcoholic fatty liver disease (NAFLD), a type of liver disease for which no treatment is currently approved, remains a major concern worldwide. It is manifested as simple hepatocyte steatosis and can develop into inflammation, fibrosis, cirrhosis and liver cancer in severe cases. However, due to the lack of appropriate <em>in vitro</em> drug testing platforms, an in-depth understanding of the therapeutic activity of ginsenoside Rb<sub>1</sub> in NAFLD remains challenging. Here, we proposed a NAFLD model on a liver organoids (LOs)-on-a-chip platform to evaluate the therapeutic effect of ginsenoside Rb<sub>1</sub> in a dynamic, multi-condition and high-throughput manner. This platform allowed us to reshape certain features such as multicellular types and liver-specific functions of the physiology of the human-relative liver. Free fatty acids (FFAs)-induced LOs displayed typical pathological characteristics of NAFLD progression, including steatosis, oxidative stress, lipid peroxidation, inflammation and fibrosis. With ginsenoside Rb<sub>1</sub> intervention, these pathological features can be significantly improved, which may provide new insights into the potential mechanisms of NAFLD progression and treatment and suggest the clinical implications for humans. The proposed system enables the formation, differentiation, and function of LOs to serve as a scalable, high-throughput and sensitive drug testing model, to potentially expedite the NAFLD drug discovery.</p></div>","PeriodicalId":72919,"journal":{"name":"Engineered regeneration","volume":"5 3","pages":"Pages 283-294"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666138124000355/pdfft?md5=9242bd2656ea0d7f1e8b7950d5896503&pid=1-s2.0-S2666138124000355-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineered regeneration","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666138124000355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Non-alcoholic fatty liver disease (NAFLD), a type of liver disease for which no treatment is currently approved, remains a major concern worldwide. It is manifested as simple hepatocyte steatosis and can develop into inflammation, fibrosis, cirrhosis and liver cancer in severe cases. However, due to the lack of appropriate in vitro drug testing platforms, an in-depth understanding of the therapeutic activity of ginsenoside Rb1 in NAFLD remains challenging. Here, we proposed a NAFLD model on a liver organoids (LOs)-on-a-chip platform to evaluate the therapeutic effect of ginsenoside Rb1 in a dynamic, multi-condition and high-throughput manner. This platform allowed us to reshape certain features such as multicellular types and liver-specific functions of the physiology of the human-relative liver. Free fatty acids (FFAs)-induced LOs displayed typical pathological characteristics of NAFLD progression, including steatosis, oxidative stress, lipid peroxidation, inflammation and fibrosis. With ginsenoside Rb1 intervention, these pathological features can be significantly improved, which may provide new insights into the potential mechanisms of NAFLD progression and treatment and suggest the clinical implications for humans. The proposed system enables the formation, differentiation, and function of LOs to serve as a scalable, high-throughput and sensitive drug testing model, to potentially expedite the NAFLD drug discovery.