Visceral Adipose Tissue Phospholipid Signature of Insulin Sensitivity and Obesity

Magalí Palau-Rodriguez, Anna Marco-Ramell, Patricia Casas-Agustench, Sara Tulipani, Antonio Miñarro, Alex Sanchez-Pla, Mora Murri, Francisco J. Tinahones*, Cristina Andres-Lacueva*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)2410-2419
Number of pages10
JournalJournal of Proteome Research
Volume20
Issue number5
DOIs
Publication statusPublished - 7 May 2021
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • Biochemistry

Keywords

  • biomarker
  • diabetes
  • discordant phenotypes
  • insulin resistance
  • lipid remodeling
  • metabolomics
  • metabotype
  • obesity
  • phospholipids

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