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空间代谢组学及其在肝脏中的应用。

Spatial metabolomics and its application in the liver.

机构信息

Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal.

Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance, Derio, Bizkaia, Spain.

出版信息

Hepatology. 2024 May 1;79(5):1158-1179. doi: 10.1097/HEP.0000000000000341. Epub 2023 Feb 23.

Abstract

Hepatocytes work in highly structured, repetitive hepatic lobules. Blood flow across the radial axis of the lobule generates oxygen, nutrient, and hormone gradients, which result in zoned spatial variability and functional diversity. This large heterogeneity suggests that hepatocytes in different lobule zones may have distinct gene expression profiles, metabolic features, regenerative capacity, and susceptibility to damage. Here, we describe the principles of liver zonation, introduce metabolomic approaches to study the spatial heterogeneity of the liver, and highlight the possibility of exploring the spatial metabolic profile, leading to a deeper understanding of the tissue metabolic organization. Spatial metabolomics can also reveal intercellular heterogeneity and its contribution to liver disease. These approaches facilitate the global characterization of liver metabolic function with high spatial resolution along physiological and pathological time scales. This review summarizes the state of the art for spatially resolved metabolomic analysis and the challenges that hinder the achievement of metabolome coverage at the single-cell level. We also discuss several major contributions to the understanding of liver spatial metabolism and conclude with our opinion on the future developments and applications of these exciting new technologies.

摘要

肝细胞在高度结构化、重复的肝小叶中工作。穿过小叶径向轴的血流产生氧气、营养物质和激素梯度,导致区域空间变异性和功能多样性。这种大的异质性表明,不同小叶区的肝细胞可能具有不同的基因表达谱、代谢特征、再生能力和对损伤的易感性。在这里,我们描述了肝分区的原则,介绍了代谢组学方法来研究肝脏的空间异质性,并强调了探索空间代谢谱的可能性,从而深入了解组织代谢组织。空间代谢组学还可以揭示细胞间的异质性及其对肝脏疾病的贡献。这些方法促进了在生理和病理时间尺度上以高空间分辨率对肝脏代谢功能进行全面描述。本综述总结了用于空间分辨代谢组分析的最新技术,并讨论了阻碍在单细胞水平上实现代谢组全覆盖的挑战。我们还讨论了对肝脏空间代谢理解的几个主要贡献,并对这些令人兴奋的新技术的未来发展和应用提出了我们的看法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a554/11020039/051b11e8e12a/hep-79-1158-g001.jpg

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