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MS-based lipidomics of human blood plasma: A community-initiated position paper to develop accepted guidelines

Authors :
Burla, Bo
Arita, Makoto
Arita, Masanori
Bendt, Anne K
Cazenave-Gassiot, Amaury
Dennis, Edward A
Ekroos, Kim
Han, Xianlin
Ikeda, Kazutaka
Liebisch, Gerhard
Lin, Michelle K
Loh, Tze Ping
Meikle, Peter J
Orešič, Matej
Quehenberger, Oswald
Shevchenko, Andrej
Torta, Federico
Wakelam, Michael JO
Wheelock, Craig E
Wenk, Markus R
Source :
Burla, B; Arita, M; Arita, M; Bendt, AK; Cazenave-Gassiot, A; Dennis, EA; et al.(2018). MS-based lipidomics of human blood plasma: A community-initiated position paper to develop accepted guidelines. Journal of Lipid Research, 59(10), 2001-2017. doi: 10.1194/jlr.S087163. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/281684q9, Journal of lipid research, vol 59, iss 10
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

Abstract

Copyright © 2018 Burla et al. Published by The American Society for Biochemistry and Molecular Biology, Inc. Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the plasma lipidome also occur in conditions that are not directly linked to lipid metabolism; therefore, plasma lipidomics based on MS is an emerging tool in an array of clinical diagnostics and disease management. However, challenges exist in the translation of such lipidomic data to clinical applications. These relate to the reproducibility, accuracy, and precision of lipid quantitation, study design, sample handling, and data sharing. This position paper emerged from a workshop that initiated a community-led process to elaborate and define a set of generally accepted guidelines for quantitative MS-based lipidomics of blood plasma or serum, with harmonization of data acquired on different instrumentation platforms across independent laboratories as an ultimate goal. We hope that other fields may benefit from and follow such a precedent.

Details

Language :
English
Database :
OpenAIRE
Journal :
Burla, B; Arita, M; Arita, M; Bendt, AK; Cazenave-Gassiot, A; Dennis, EA; et al.(2018). MS-based lipidomics of human blood plasma: A community-initiated position paper to develop accepted guidelines. Journal of Lipid Research, 59(10), 2001-2017. doi: 10.1194/jlr.S087163. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/281684q9, Journal of lipid research, vol 59, iss 10
Accession number :
edsair.dedup.wf.001..baaac23b2194e93663a5ed6bee67979e