Crosstalk between Hepatic Stellate Cells and Hepatic Macrophages in Metabolic Dysfunction–Associated Steatohepatitis

IF 4.7 2区 医学 Q1 PATHOLOGY
Haoran Zhong , Chen Liu , Zhiwei Huang , Peng Tan , Hao Chen , Wenguang Fu
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引用次数: 0

Abstract

Metabolic dysfunction–associated steatotic liver disease is the most prevalent liver condition worldwide. Its more severe manifestation, metabolic dysfunction–associated steatohepatitis (MASH), is accompanied by distinctive hepatocellular injury and inflammation with fibrosis. The involvement of chronic inflammation and accompanying immune cell activation in the maturation phases of MASH progression, mediated through hepatic stellate cells (HSCs), plays a central role. This review highlights the detailed molecular and cellular mechanisms of MASH, with special attention to the dynamic dialogue between HSCs and hepatic macrophages. This review will help narrow the existing gaps, with a summary of key roles HSCs and hepatic macrophages play within liver immunity to inflammation, discussing critical intercellular communication pathways as well as proposing new venues for research toward a better understanding of MASH pathobiology, which could pave ways toward breakthroughs in the clinical condition.
代谢功能障碍相关脂肪性肝炎中肝星状细胞和肝巨噬细胞间的串扰
代谢功能障碍相关的脂肪变性肝病是世界范围内最常见的肝脏疾病。其更严重的表现是代谢功能障碍相关脂肪性肝炎(MASH),伴有独特的肝细胞损伤和炎症伴纤维化。通过肝星状细胞(hsc)介导的慢性炎症和伴随的免疫细胞激活在MASH进展的成熟阶段起着核心作用。本文重点介绍了MASH的分子和细胞机制,特别关注造血干细胞和肝巨噬细胞之间的动态对话。这篇综述将有助于缩小现有的差距,总结hsc和肝巨噬细胞在肝脏免疫炎症中的关键作用,讨论关键的细胞间通讯途径,并为更好地理解MASH病理生物学提出新的研究领域,为临床条件的突破铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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