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

整合肝脏分泌蛋白和血浆蛋白组学,建立了一个对 MASH 进行分层的预测模型

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作者: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
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.

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