A human liver cell-based system modeling a clinical prognostic liver signature for therapeutic discovery

基于人类肝细胞的系统,为治疗发现建立临床预后肝脏特征模型

阅读:15
作者:Emilie Crouchet, Simonetta Bandiera, Naoto Fujiwara, Shen Li, Hussein El Saghire, Mirian Fernández-Vaquero, Tobias Riedl, Xiaochen Sun, Hadassa Hirschfield, Frank Jühling, Shijia Zhu, Natascha Roehlen, Clara Ponsolles, Laura Heydmann, Antonio Saviano, Tongqi Qian, Anu Venkatesh, Joachim Lupberger, E

Abstract

Chronic liver disease and hepatocellular carcinoma (HCC) are life-threatening diseases with limited treatment options. The lack of clinically relevant/tractable experimental models hampers therapeutic discovery. Here, we develop a simple and robust human liver cell-based system modeling a clinical prognostic liver signature (PLS) predicting long-term liver disease progression toward HCC. Using the PLS as a readout, followed by validation in nonalcoholic steatohepatitis/fibrosis/HCC animal models and patient-derived liver spheroids, we identify nizatidine, a histamine receptor H2 (HRH2) blocker, for treatment of advanced liver disease and HCC chemoprevention. Moreover, perturbation studies combined with single cell RNA-Seq analyses of patient liver tissues uncover hepatocytes and HRH2+, CLEC5Ahigh, MARCOlow liver macrophages as potential nizatidine targets. The PLS model combined with single cell RNA-Seq of patient tissues enables discovery of urgently needed targets and therapeutics for treatment of advanced liver disease and cancer prevention.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。