Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions.
Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions.
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DOI：
10.3390/nu15071784
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发表时间：
2023-04-06
期刊：
影响因子：
5.9
通讯作者：
Wang R
中科院分区：
文献类型：
--
作者：
Lin K;Cheng W;Shen Q;Wang H;Wang R;Guo S;Wu X;Wu W;Chen P;Wang Y;Ye H;Zhang Q;Wang R
肥胖在全世界都是一种流行病。有效的减肥干预措施在各种脂质组学反应方面各不相同。在这里，我们的目标是找到与减肥有益变化相关的脂质组学生物标志物。我们采用非靶向液相色谱-串联质谱（LC-MS/MS）方法测定了953种脂质，分别为运动组（运动干预组，N = 25）、LSG组（腹腔镜袖式胃切除术组，N = 36）和库欣组（手术切除垂体acth腺瘤组，N = 25）。总体而言，根据减肥干预，总二酰基甘油（DG）、三酰基甘油（TG）、磷脂酰乙醇胺（PE）、磷脂酰肌醇（PI）、磷脂酰丝氨酸（PS）和鞘磷脂（SM）水平与BMI、糖化血红蛋白（HbA1c）、甘油三酯和总胆固醇的变化相关。我们发现73种脂质在三种减肥干预措施中发生了变化。我们筛选了13种脂质，在运动、LSG或库欣队列中诊断体重减轻情况时具有更好的预测准确性（AUROC >.7）。更重要的是，我们在三项研究中发现了三种磷脂酰胆碱（PC）脂类，PC（14:0_18:3）、PC（31:1）和PC（32:2）与体重变化显著相关。我们的研究结果强调了潜在的脂质组学生物标志物，在未来，这些生物标志物可以用于包括减肥干预在内的个性化方法中。
Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions.
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影响因子：
158.5
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