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Characterization of different fat depots in NAFLD using inflammation-associated proteome lipidome and metabolome

机译:使用炎症相关蛋白质组脂质组和代谢组表征NAFLD中不同脂肪段的特征

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摘要

Non-alcoholic fatty liver disease (NAFLD) is recognized as a liver manifestation of metabolic syndrome, accompanied with excessive fat accumulation in the liver and other vital organs. Ectopic fat accumulation was previously associated with negative effects at the systemic and local level in the human body. Thus, we aimed to identify and assess the predictive capability of novel potential metabolic biomarkers for ectopic fat depots in non-diabetic men with NAFLD, using the inflammation-associated proteome, lipidome and metabolome. Myocardial and hepatic triglycerides were measured with magnetic spectroscopy while function of left ventricle, pericardial and epicardial fat, subcutaneous and visceral adipose tissue were measured with magnetic resonance imaging. Measured ectopic fat depots were profiled and predicted using a Random Forest algorithm, and by estimating the Area Under the Receiver Operating Characteristic curves. We have identified distinct metabolic signatures of fat depots in the liver (TAG50:1, glutamate, diSM18:0 and CE20:3), pericardium (N-palmitoyl-sphinganine, HGF, diSM18:0, glutamate, and TNFSF14), epicardium (sphingomyelin, CE20:3, PC38:3 and TNFSF14), and myocardium (CE20:3, LAPTGF-β1, glutamate and glucose). Our analyses highlighted non-invasive biomarkers that accurately predict ectopic fat depots, and reflect their distinct metabolic signatures in subjects with NAFLD.
机译:非酒精性脂肪肝病(NAFLD)被认为是代谢综合征的肝脏表现,伴有肝脏和其他重要器官中过多的脂肪积聚。以前,异位脂肪积累在人体的全身和局部水平都与负面影响有关。因此,我们旨在通过炎症相关的蛋白质组,脂质组和代谢组,鉴定和评估非糖尿病男性非肥胖男性异位脂肪库的新型潜在代谢生物标记物的预测能力。磁共振波谱测定心肌和肝甘油三酸酯,磁共振波谱测定左心室,心包和心外膜脂肪,皮下和内脏脂肪组织的功能。使用随机森林算法,通过估计接收器工作特性曲线下的面积,对测得的异位脂肪库进行分析和预测。我们已经确定了肝脏脂肪堆积(TAG50:1,谷氨酸,diSM18:0和CE20:3),心包(N-棕榈酰-鞘氨醇,HGF,diSM18:0,谷氨酸和TNFSF14),心外膜的独特代谢特征鞘磷脂,CE20:3,PC38:3和TNFSF14)和心肌(CE20:3,LAPTGF-β1,谷氨酸和葡萄糖)。我们的分析强调了非侵入性生物标记物,可准确预测异位脂肪库,并反映其在NAFLD患者中的独特代谢特征。

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