Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics.
Adipose tissue
Chow and high-fat diet
Lipid extraction
Lipid remodeling
Lipidomics
Method validation
Mouse
Shotgun mass spectrometry
Journal
Molecular metabolism
ISSN: 2212-8778
Titre abrégé: Mol Metab
Pays: Germany
ID NLM: 101605730
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
15
11
2018
revised:
17
01
2019
accepted:
23
01
2019
pubmed:
20
2
2019
medline:
14
4
2020
entrez:
20
2
2019
Statut:
ppublish
Résumé
Shotgun lipidomics enables an extensive analysis of lipids from tissues and fluids. Each specimen requires appropriate extraction and processing procedures to ensure good coverage and reproducible quantification of the lipidome. Adipose tissue (AT) has become a research focus with regard to its involvement in obesity-related pathologies. However, the quantification of the AT lipidome is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes. We present a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen and features high reproducibility with a linear dynamic range of at least 4 orders of magnitude for all lipid classes. Utilizing this method, we observed tissue-specific and diet-related differences in three AT types (brown, gonadal, inguinal subcutaneous) from lean and obese mice. Brown AT exhibited a distinct lipidomic profile with the greatest lipid class diversity and responded to high-fat diet by altering its lipid composition, which shifted towards that of white AT. Moreover, diet-induced obesity promoted an overall remodeling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species. The here presented method facilitates reproducible systematic lipidomic profiling of AT and could be integrated with further -omics approaches used in (pre-) clinical research, in order to advance the understanding of the molecular metabolic dynamics involved in the pathogenesis of obesity-associated disorders.
Identifiants
pubmed: 30777728
pii: S2212-8778(18)31114-1
doi: 10.1016/j.molmet.2019.01.009
pmc: PMC6437637
pii:
doi:
Substances chimiques
Lipids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12-20Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier GmbH.. All rights reserved.
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