Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Nat Rev Gastroenterol Hepatol. 2020 Aug;17(8):457-472. doi: 10.1038/s41575-020-0304-x. Epub 2020 Jun 1.
Liver disease is a major global health-care problem, affecting an estimated 844 million people worldwide. Despite this substantial burden, therapeutic options for liver disease remain limited, in part owing to a paucity of detailed analyses defining the cellular and molecular mechanisms that drive these conditions in humans. Single-cell transcriptomic technologies are transforming our understanding of cellular diversity and function in health and disease. In this Review, we discuss how these technologies have been applied in hepatology, advancing our understanding of cellular heterogeneity and providing novel insights into fundamental liver biology such as the metabolic zonation of hepatocytes, endothelial cells and hepatic stellate cells, and the cellular mechanisms underpinning liver regeneration. Application of these methodologies is also uncovering critical pathophysiological changes driving disease states such as hepatic fibrosis, where distinct populations of macrophages, endothelial cells and mesenchymal cells reside within a spatially distinct fibrotic niche and interact to promote scar formation. In addition, single-cell approaches are starting to dissect key cellular and molecular functions in liver cancer. In the near future, new techniques such as spatial transcriptomics and multiomic approaches will further deepen our understanding of disease pathogenesis, enabling the identification of novel therapeutic targets for patients across the spectrum of liver diseases.
肝脏疾病是一个全球性的主要医疗保健问题,全球估计有 8.44 亿人受到影响。尽管肝脏疾病的负担很大,但治疗选择仍然有限,部分原因是缺乏详细的分析来确定驱动这些疾病的细胞和分子机制。单细胞转录组学技术正在改变我们对健康和疾病中细胞多样性和功能的理解。在这篇综述中,我们讨论了这些技术在肝脏病学中的应用,这些应用增进了我们对细胞异质性的理解,并为肝细胞、内皮细胞和肝星状细胞的代谢分区、肝脏再生的细胞机制等基本肝脏生物学提供了新的见解。这些方法的应用也揭示了驱动疾病状态的关键病理生理变化,例如肝纤维化,其中不同的巨噬细胞、内皮细胞和间充质细胞群体存在于空间上不同的纤维化龛位内,并相互作用以促进疤痕形成。此外,单细胞方法开始解析肝癌中的关键细胞和分子功能。在不久的将来,空间转录组学和多组学方法等新技术将进一步加深我们对疾病发病机制的理解,为各种肝脏疾病患者确定新的治疗靶点。