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肝脂肪变性的预后分子特征在人类肝脏中具有空间异质性且是动态变化的。

A prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liver.

作者信息

Perry Andrew S, Hadad Niran, Chatterjee Emeli, Ramos Maria Jimenez, Farber-Eger Eric, Roshani Rashedeh, Stolze Lindsay K, Zhao Shilin, Martens Liesbet, Kendall Timothy J, Thone Tinne, Amancherla Kaushik, Bailin Samuel, Gabriel Curtis L, Koethe John, Carr J Jeffrey, Terry James Greg, Freedman Jane, Tanriverdi Kahraman, Alsop Eric, Keuren-Jensen Kendall Van, Sauld John F K, Mahajan Gautam, Khan Sadiya, Colangelo Laura, Nayor Matthew, Fisher-Hoch Susan, McCormick Joseph, North Kari E, Below Jennifer, Wells Quinn, Abel Dale, Kalhan Ravi, Scott Charlotte, Guilliams Martin, Fallowfield Jonathan A, Banovich Nicholas E, Das Saumya, Shah Ravi

出版信息

medRxiv. 2024 Jan 29:2024.01.26.24301828. doi: 10.1101/2024.01.26.24301828.

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) prevalence is increasing in parallel with an obesity pandemic, calling for novel strategies for prevention and treatment. We defined a circulating proteome of human MASLD across ≈7000 proteins in ≈5000 individuals from diverse, at-risk populations across the metabolic health spectrum, demonstrating reproducible diagnostic performance and specifying both known and novel metabolic pathways relevant to MASLD (central carbon and amino acid metabolism, hepatocyte regeneration, inflammation, fibrosis, insulin sensitivity). A parsimonious proteomic signature of MASLD was associated with a protection from MASLD and its related multi-system metabolic consequences in >26000 free-living individuals, with an additive effect to polygenic risk. The MASLD proteome was encoded by genes that demonstrated transcriptional enrichment in liver, with spatial transcriptional activity in areas of steatosis in human liver biopsy and dynamicity for select targets in human liver across stages of steatosis. We replicated several top relations from proteomics and spatial tissue transcriptomics in a humanized "liver-on-a-chip" model of MASLD, highlighting the power of a full translational approach to discovery in MASLD. Collectively, these results underscore utility of blood-based proteomics as a dynamic "liquid biopsy" of human liver relevant to clinical biomarker and mechanistic applications.

摘要

代谢功能障碍相关脂肪性肝病(MASLD)的患病率随着肥胖大流行而同步上升,这就需要新的预防和治疗策略。我们在来自代谢健康谱不同风险人群的约5000名个体中,定义了涵盖约7000种蛋白质的人类MASLD循环蛋白质组,证明了其可重复的诊断性能,并明确了与MASLD相关的已知和新的代谢途径(中心碳代谢和氨基酸代谢、肝细胞再生、炎症、纤维化、胰岛素敏感性)。在超过26000名自由生活的个体中,一个简约的MASLD蛋白质组学特征与预防MASLD及其相关的多系统代谢后果相关,对多基因风险具有累加效应。MASLD蛋白质组由在肝脏中表现出转录富集的基因编码,在人类肝脏活检的脂肪变性区域具有空间转录活性,并且在脂肪变性的不同阶段,人类肝脏中选定靶点具有动态变化。我们在一个人源化的MASLD“芯片上的肝脏”模型中复制了蛋白质组学和空间组织转录组学的几个顶级关联,突出了全面转化方法在MASLD发现中的作用。总体而言,这些结果强调了基于血液的蛋白质组学作为与临床生物标志物和机制应用相关的人类肝脏动态“液体活检”的实用性。

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