Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
School of Medical Sciences, Örebro University, Örebro, Sweden.
J Clin Endocrinol Metab. 2021 Jan 1;106(1):e118-e129. doi: 10.1210/clinem/dgaa693.
Metabolic differences between ectopic fat depots may provide novel insights to obesity-related diseases.
To investigate the plasma metabolomic profiles in relation to visceral adipose tissue (VAT) volume and liver and pancreas fat percentages.
Cross-sectional.
Multicenter at academic research laboratories.
Magnetic resonance imaging (MRI) was used to assess VAT volume, the percentage of fat in the liver and pancreas (proton density fat fraction [PDFF]) at baseline in 310 individuals with a body mass index ≥ 25 kg/m2 and with serum triglycerides ≥ 1.7 mmol/l and/or type 2 diabetes screened for inclusion in the 2 effect of omega-3 carboxylic acid on liver fat content studies.
None.
Metabolomic profiling with mass spectroscopy enabled the determination of 1063 plasma metabolites.
Thirty metabolites were associated with VAT volume, 31 with liver PDFF, and 2 with pancreas PDFF when adjusting for age, sex, total body fat mass, and fasting glucose. Liver PDFF and VAT shared 4 metabolites, while the 2 metabolites related to pancreas PDFF were unique. The top metabolites associated with liver PDFF were palmitoyl-palmitoleoyl-GPC (16:0/16:1), dihydrosphingomyelin (d18:0/22:0), and betaine. The addition of these metabolites to the Liver Fat Score improved C-statistics significantly (from 0.776 to 0.861, P = 0.0004), regarding discrimination of liver steatosis.
Liver PDFF and VAT adipose tissue shared several metabolic associations, while those were not shared with pancreatic PDFF, indicating partly distinct metabolic profiles associated with different ectopic fat depots. The addition of 3 metabolites to the Liver Fat Score improved the prediction of liver steatosis.
异位脂肪组织之间的代谢差异可能为肥胖相关疾病提供新的见解。
研究与内脏脂肪组织（VAT）体积以及肝脏和胰腺脂肪百分比相关的血浆代谢组学特征。
横断面研究。
多中心学术研究实验室。
磁共振成像（MRI）用于评估基线时 310 名 BMI≥25kg/m2 且血清甘油三酯≥1.7mmol/l 和/或 2 型糖尿病患者的 VAT 体积、肝脏和胰腺脂肪百分比（质子密度脂肪分数[PDFF]）。这些患者是为纳入 2 项ω-3 羧酸对肝脏脂肪含量影响的研究而筛选出来的。
无。
质谱分析进行代谢组学分析，可确定 1063 种血浆代谢物。
调整年龄、性别、总体脂肪量和空腹血糖后，有 30 种代谢物与 VAT 体积相关，31 种代谢物与肝脏 PDFF 相关，2 种代谢物与胰腺 PDFF 相关。肝脏 PDFF 和 VAT 共有 4 种代谢物，而与胰腺 PDFF 相关的 2 种代谢物是独特的。与肝脏 PDFF 相关的前代谢物为棕榈酰-油酰-GPC（16:0/16:1）、二氢神经鞘氨醇（d18:0/22:0）和甜菜碱。将这些代谢物加入肝脏脂肪评分中，可显著提高 C 统计量（从 0.776 提高至 0.861，P=0.0004），从而提高对肝脏脂肪变性的鉴别能力。
肝脏 PDFF 和 VAT 脂肪组织具有一些共同的代谢关联，而与胰腺 PDFF 没有共同关联，表明不同异位脂肪组织具有不同的代谢特征。将 3 种代谢物加入肝脏脂肪评分中，可改善对肝脏脂肪变性的预测。
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