Hammond Nigel L, Murtuza Baker Syed, Georgaka Sokratia, Al-Anbaki Ali, Jokl Elliot, Simpson Kara, Sanchez-Alvarez Rosa, Athwal Varinder S, Purssell Huw, Siriwardena Ajith K, Spiers Harry V M, Dixon Mike J, Bere Leoma D, Jones Adam P, Haley Michael J, Couper Kevin N, Bobola Nicoletta, Sharrocks Andrew D, Hanley Neil A, Rattray Magnus, Piper Hanley Karen
Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, UK.
Manchester University NHS Foundation Trust, Oxford Road, Manchester, UK.
EMBO Mol Med. 2025 Apr 25. doi: 10.1038/s44321-025-00230-6.
Liver fibrosis is a major cause of death worldwide. As a progressive step in chronic liver disease, fibrosis is almost always diagnosed too late with limited treatment options. Here, we uncover the spatial transcriptional landscape driving human liver fibrosis using single nuclei RNA and Assay for Transposase-Accessible Chromatin (ATAC) sequencing to deconvolute multi-cell spatial transcriptomic profiling in human liver cirrhosis. Through multi-modal data integration, we define molecular signatures driving cell state transitions in liver disease and define an impaired cellular response and directional trajectory between hepatocytes and cholangiocytes associated with disease remodelling. We identify pro-fibrogenic signatures in non-parenchymal cell subpopulations co-localised within the fibrotic niche and localise transitional cell states at the scar interface. This combined approach provides a spatial atlas of gene regulation and defines molecular signatures associated with liver disease for targeted therapeutics or as early diagnostic markers of progressive liver disease.
肝纤维化是全球范围内主要的死亡原因。作为慢性肝病的一个渐进过程,纤维化几乎总是在诊断时为时已晚,且治疗选择有限。在此,我们利用单核RNA和转座酶可及染色质分析(ATAC)测序揭示驱动人类肝纤维化的空间转录图谱,以解析人类肝硬化中的多细胞空间转录组谱。通过多模态数据整合,我们定义了驱动肝病细胞状态转变的分子特征,并确定了与疾病重塑相关的肝细胞和胆管细胞之间受损的细胞反应及定向轨迹。我们在共定位于纤维化微环境内的非实质细胞亚群中鉴定出促纤维化特征,并在瘢痕界面定位过渡细胞状态。这种综合方法提供了一个基因调控的空间图谱,并定义了与肝病相关的分子特征,用于靶向治疗或作为进行性肝病的早期诊断标志物。