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整合肝脏分泌蛋白质组学和血浆蛋白质组学鉴定出一种对非酒精性脂肪性肝炎进行分层的预测模型。

Integrated liver-secreted and plasma proteomics identify a predictive model that stratifies MASH.

作者信息

De Nardo William, Lee Olivia, Johari Yazmin, Bayliss Jacqueline, Pensa Marcus, Miotto Paula M, Keenan Stacey N, Ryan Andrew, Rucinski Amber, Svinos Tessa M, Ooi Geraldine J, Brown Wendy A, Kemp William, Roberts Stuart K, Parker Benjamin L, Montgomery Magdalene K, Larance Mark, Burton Paul R, Watt Matthew J

机构信息

Department of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.

Department of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia; Bariatric Unit, Department of General Surgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.

出版信息

Cell Rep Med. 2025 May 20;6(5):102085. doi: 10.1016/j.xcrm.2025.102085. Epub 2025 Apr 17.

Abstract

Obesity is a major risk factor for metabolic-associated steatotic liver disease (MASLD), which can progress to metabolic-associated steatohepatitis (MASH). There are no validated non-invasive tests to stratify persons with obesity with a greater risk for MASH. Herein, we assess plasma and liver from 266 obese individuals spanning the MASLD spectrum. Ninety-six human livers were precision-cut, and mass spectrometry-based proteomics identifies 3,333 proteins in the liver-secretion medium, of which 107 are differentially secreted in MASH compared with no pathology. The plasma proteome is markedly remodeled in MASH but is not different between patients with steatosis and no pathology. The APASHA model, comprising plasma apolipoprotein F (APOF), proprotein convertase subtilisin/kexin type 9 (PCSK9), afamin (AFM), S100 calcium-binding protein A6 (S100A6), HbA1c, and zinc-alpha-2-glycoprotein (AZGP1), stratifies MASH (area under receiver operating characteristic [AUROC] = 0.88). Our investigations detail the evolution of liver-secreted and plasma proteins with MASLD progression, providing a rich resource defining human liver-secreted proteins and creating a predictive model to stratify patients with obesity at risk of MASH.

摘要

肥胖是代谢相关脂肪性肝病(MASLD)的主要危险因素,该疾病可进展为代谢相关脂肪性肝炎(MASH)。目前尚无经过验证的非侵入性检测方法来对肥胖人群中发生MASH风险较高者进行分层。在此,我们评估了266名处于MASLD疾病谱不同阶段的肥胖个体的血浆和肝脏样本。对96个肝脏进行了精密切片,并通过基于质谱的蛋白质组学技术在肝脏分泌介质中鉴定出3333种蛋白质,其中107种在MASH患者与无病变患者之间存在差异分泌。MASH患者的血浆蛋白质组有明显重塑,但脂肪变性患者与无病变患者之间无差异。由血浆载脂蛋白F(APOF)、前蛋白转化酶枯草溶菌素/kexin 9型(PCSK9)、afamin(AFM)、S100钙结合蛋白A6(S100A6)、糖化血红蛋白(HbA1c)和锌-α-2-糖蛋白(AZGP1)组成的APASHA模型可对MASH进行分层(受试者操作特征曲线下面积[AUROC]=0.88)。我们的研究详细阐述了随着MASLD进展肝脏分泌蛋白和血浆蛋白的变化情况,提供了一份丰富的人类肝脏分泌蛋白资源,并创建了一个预测模型,用于对有MASH风险的肥胖患者进行分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/12147855/ee6120bf6946/fx1.jpg

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