MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines - UTU Research Portal

A1 Refereed original research article in a scientific journal

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

Authors: Bo Burla, Makoto Arita, Masanori Arita, Anne K. Bendt, Amaury Cazenave-Gassiot, Edward A. Dennis, Kim Ekroos, Xianlin Han, Kazutaka Ikeda, Gerhard Liebisch, Michelle K. Lin, Tze Ping Loh, Peter J. Meikle, Matej Orešič, Oswald Quehenberger, Andrej Shevchenko, Federico Torta, Michael J. O. Wakelam, Craig E. Wheelock, Markus R. Wenk

Publisher: AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC

Publication year: 2018

Journal: Journal of Lipid Research

Journal name in source: JOURNAL OF LIPID RESEARCH

Journal acronym: J LIPID RES

Volume: 59

Issue: 10

First page : 2001

Last page: 2017

Number of pages: 17

ISSN: 0022-2275

eISSN: 1539-7262

DOI: https://doi.org/10.1194/jlr.S087163

Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/35991121

Abstract

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.

Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.

MS-based lipidomics of human blood plasma a community-initiated position paper to develop accepted guidelines.pdf