酒精相关肝病代谢变化的多组学研究

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2024-11-01 Epub Date: 2024-10-17 DOI:10.1021/acs.jproteome.4c00451
Liqing He, Raobo Xu, Xipeng Ma, Xinmin Yin, Eugene Mueller, Wenke Feng, Michael Menze, Seongho Kim, Craig J McClain, Xiang Zhang
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引用次数: 0

摘要

肝脏代谢功能障碍是酒精相关性肝病(ALD)早期的主要特征。然而,人们对其产生的机制只有部分了解。为了研究 ALD 患者肝脏的代谢特征,我们使用非靶向代谢组学和非靶向脂质组学对实验性 ALD 小鼠肝脏中的极性代谢物和脂质进行了相对定量。在酒精喂养的小鼠肝脏中,共有99种极性代谢物的丰度发生了显著变化。通路分析表明,酒精对小鼠肝脏中氨基酸代谢的影响最大。参与糖酵解和TCA循环的代谢物减少,而3-磷酸甘油(G3P)和长链脂肪酸增加。脂质的相对定量显示了多种脂质类别的上调,这表明饮酒推动了脂质合成代谢。酶表达和活性检测结果表明,线粒体甘油-3-磷酸脱氢酶活性降低导致代谢紊乱。
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Multiomics Studies on Metabolism Changes in Alcohol-Associated Liver Disease.

Metabolic dysfunction in the liver represents a predominant feature in the early stages of alcohol-associated liver disease (ALD). However, the mechanisms underlying this are only partially understood. To investigate the metabolic characteristics of the liver in ALD, we did a relative quantification of polar metabolites and lipids in the liver of mice with experimental ALD using untargeted metabolomics and untargeted lipidomics. A total of 99 polar metabolites had significant abundance alterations in the livers of alcohol-fed mice. Pathway analysis revealed that amino acid metabolism was the most affected by alcohol in the mouse liver. Metabolites involved in glycolysis and the TCA cycle were decreased, while glycerol 3-phosphate (G3P) and long-chain fatty acids were increased. Relative quantification of lipids unveiled an upregulation of multiple lipid classes, suggesting that alcohol consumption drives metabolism toward lipid synthesis. Results from enzyme expression and activity detection indicated that the decreased activity of mitochondrial glycerol 3-phosphate dehydrogenase contributed to the disordered metabolism.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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