Visceral Adipose Tissue Phospholipid Signature of Insulin Sensitivity and Obesity

被引:8
|
作者
Palau-Rodriguez, Magali [1 ,2 ]
Marco-Ramell, Anna [1 ,2 ]
Casas-Agustench, Patricia [1 ,2 ]
Tulipani, Sara [1 ,3 ]
Minarro, Antonio [2 ,4 ]
Sanchez-Pla, Alex [2 ,4 ]
Murri, Mora [3 ,5 ]
Tinahones, Francisco J. [3 ,5 ]
Andres-Lacueva, Cristina [1 ,2 ]
机构
[1] Univ Barcelona, Fac Pharm & Food Sci, Dept Nutr Food Sci & Gastron, Biomarkers & Nutrimetabol Lab,XIA,INSA, Barcelona 08028, Spain
[2] Inst Salud Carlos III, CIBER Fragilidad & Envejecimiento Saludable CIBER, Madrid 28029, Spain
[3] Malaga Univ, Virgen Victoria Univ Hosp, Inst Invest Biomed Malaga IBIMA, Dept Endocrinol & Nutr, Malaga 29010, Spain
[4] Univ Barcelona, Biol Fac, Genet Microbiol & Stat Dept, Barcelona 08028, Spain
[5] Inst Salud Carlos III, CIBER Fisiopatol Obesidad & Nutr CIBERobn, Madrid 28029, Spain
关键词
discordant phenotypes; insulin resistance; lipid remodeling; metabotype; metabolomics; phospholipids; obesity; diabetes; biomarker; CHAIN AMINO-ACIDS; PLASMALOGENS; INFLAMMATION; METABOLISM; BIOMARKERS; DISCOVERY;
D O I
10.1021/acs.jproteome.0c00918
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Alterations in visceral adipose tissue (VAT) are closely linked to cardiometabolic abnormalities. The aim of this work is to define a metabolic signature in VAT of insulin resistance (IR) dependent on, and independent of, obesity. An untargeted UPLC-Q-Exactive metabolomic approach was carried out on the VAT of obese insulin-sensitive (IS) and insulin-resistant subjects (N = 11 and N = 25, respectively) and nonobese IS and IR subjects (N = 25 and N = 10, respectively). The VAT metabolome in obesity was defined among other things by changes in the metabolism of lipids, nucleotides, carbohydrates, and amino acids, whereas when combined with high IR, it affected the metabolism of 18 carbon fatty acyl-containing phospholipid species. A multimetabolite model created by glycerophosphatidylinositol (18:0); glycerophosphatidylethanolamine (18:2); glycerophosphatidylserine (18:0); and glycerophosphatidylcholine (18:0/18:1), (18:2/18:2), and (18:2/18:3) exhibited a highly predictive performance to identify the metabotype of "insulin-sensitive obesity" among obese individuals [area under the curve (AUC) 96.7% (91.9-100)] and within the entire study population [AUC 87.6% (79.0-96.2)]. We demonstrated that IR has a unique and shared metabolic signature dependent on, and independent of, obesity. For it to be used in clinical practice, these findings need to be validated in a more accessible sample, such as blood.
引用
收藏
页码:2410 / 2419
页数:10
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