High-Throughput Plasma Lipidomics: Detailed Mapping of the Associations with Cardiometabolic Risk Factors.
branched fatty acids
impaired fasting glucose
impaired glucose tolerance
lipid isomers
lipid species
lipidomics
mass spectrometry
Journal
Cell chemical biology
ISSN: 2451-9448
Titre abrégé: Cell Chem Biol
Pays: United States
ID NLM: 101676030
Informations de publication
Date de publication:
17 01 2019
17 01 2019
Historique:
received:
04
10
2017
revised:
06
04
2018
accepted:
05
10
2018
pubmed:
13
11
2018
medline:
30
11
2019
entrez:
13
11
2018
Statut:
ppublish
Résumé
High-throughput targeted lipid profiling with liquid chromatography-mass spectrometry (LC-MS) has been used extensively to identify associations between plasma lipid species and disease states. Such methods, used to characterize larger clinical cohorts, often suffer from an inability to differentiate isomeric forms of glycerophospholipids that are typically reported as the sum fatty acid carbons and double bonds. Here we report a chromatography gradient coupled with a detailed characterization of the human plasma lipidome to provide improved resolution and identification of 636 lipid species, including previously unreported species, in a 15-min analysis. We have utilized this method on a subset of the Australian Diabetes, Obesity, and Lifestyle Study and have detailed associations of plasma lipid species with anthropometric and blood glucose measures. These results highlight the importance and power of high-throughput lipidomics coupled with a detailed characterization of the lipidome to better understand lipid biology in a population setting.
Identifiants
pubmed: 30415965
pii: S2451-9456(18)30341-6
doi: 10.1016/j.chembiol.2018.10.008
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
71-84.e4Informations de copyright
Copyright © 2018 Elsevier Ltd. All rights reserved.