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A human liver cell-based system modeling a clinical prognostic liver signature for therapeutic discovery
Nature Communications ( IF 16.6 ) Pub Date : 2021-09-17 , DOI: 10.1038/s41467-021-25468-9
Emilie Crouchet 1, 2 , Simonetta Bandiera 1, 2 , Naoto Fujiwara 3 , Shen Li 4 , Hussein El Saghire 1, 2 , Mirian Fernández-Vaquero 5, 6 , Tobias Riedl 5, 6 , Xiaochen Sun 3 , Hadassa Hirschfield 3 , Frank Jühling 1, 2 , Shijia Zhu 3 , Natascha Roehlen 1, 2 , Clara Ponsolles 1, 2 , Laura Heydmann 1, 2 , Antonio Saviano 1, 2, 7 , Tongqi Qian 3 , Anu Venkatesh 3 , Joachim Lupberger 1, 2 , Eloi R Verrier 1, 2 , Mozhdeh Sojoodi 4 , Marine A Oudot 1, 2 , François H T Duong 1, 2, 8 , Ricard Masia 9 , Lan Wei 4 , Christine Thumann 1, 2 , Sarah C Durand 1, 2 , Victor González-Motos 1, 2 , Danijela Heide 5 , Jenny Hetzer 5 , Shigeki Nakagawa 3 , Atsushi Ono 10 , Won-Min Song 11 , Takaaki Higashi 12 , Roberto Sanchez 13 , Rosa S Kim 14 , C Billie Bian 11 , Karun Kiani 15, 16 , Tom Croonenborghs 15, 16, 17 , Aravind Subramanian 15 , Raymond T Chung 18 , Beate K Straub 19 , Detlef Schuppan 20, 21 , Maliki Ankavay 22 , Laurence Cocquerel 22 , Evelyne Schaeffer 23 , Nicolas Goossens 24 , Anna P Koh 3 , Milind Mahajan 11 , Venugopalan D Nair 25 , Ganesh Gunasekaran 26 , Myron E Schwartz 26 , Nabeel Bardeesy 27 , Alex K Shalek 16, 28, 29 , Orit Rozenblatt-Rosen 16, 30 , Aviv Regev 16, 30, 31 , Emanuele Felli 1, 2, 7 , Patrick Pessaux 1, 2, 7 , Kenneth K Tanabe 4 , Mathias Heikenwälder 5 , Catherine Schuster 1, 2 , Nathalie Pochet 15, 16 , Mirjam B Zeisel 1, 2, 32 , Bryan C Fuchs 4, 33 , Yujin Hoshida 3 , Thomas F Baumert 1, 2, 7
Affiliation  

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.



中文翻译:

基于人类肝细胞的系统对临床预后肝脏特征进行建模以进行治疗发现

慢性肝病和肝细胞癌 (HCC) 是威胁生命的疾病,治疗选择有限。缺乏临床相关/易于处理的实验模型阻碍了治疗发现。在这里,我们开发了一个简单而强大的基于人类肝细胞的系统,该系统对预测长期肝病进展为 HCC 的临床预后肝脏特征 (PLS) 进行建模。使用 PLS 作为读数,然后在非酒精性脂肪性肝炎/纤维化/HCC 动物模型和患者衍生的肝球体中进行验证,我们确定了尼扎替丁,一种组胺受体 H2 (HRH2) 阻滞剂,用于治疗晚期肝病和 HCC 化学预防。此外,扰动研究与患者肝组织的单细胞 RNA-Seq 分析相结合,发现肝细胞和 HRH2 +、 CLEC5A, MARCO作为潜在的尼扎替丁靶点的低肝巨噬细胞。PLS 模型与患者组织的单细胞 RNA-Seq 相结合,能够发现治疗晚期肝病和癌症预防急需的靶点和疗法。

更新日期:2021-09-17
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