MS-based lipidomics of human blood plasma

A community-initiated position paper to develop accepted guidelines

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

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)2001-2017
Number of pages17
JournalJournal of Lipid Research
Volume59
Issue number10
DOIs
StatePublished - Jan 1 2018

Fingerprint

Blood
Guidelines
Plasmas
Lipids
Information Dissemination
Physiology
Disease Management
Lipid Metabolism
Metabolism
Lead
Health
Education
Equipment and Supplies
Molecules
Fluids
Serum

Keywords

  • Absolute concentrations
  • Clinical research
  • Clinical trials
  • Data sharing
  • Diagnostic tools
  • Lipids
  • Mass spectrometry
  • National Institute of Standards
  • Quality control
  • Technology Standard Reference Material 1950

ASJC Scopus subject areas

  • Biochemistry
  • Endocrinology
  • Cell Biology

Cite this

Burla, B., Arita, M., Arita, M., Bendt, A. K., Cazenave-Gassiot, A., Dennis, E. A., ... Wenk, M. R. (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. https://doi.org/10.1194/jlr.S087163

MS-based lipidomics of human blood plasma : A community-initiated position paper to develop accepted guidelines. / 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 J.O.; Wheelock, Craig E.; Wenk, Markus R.

In: Journal of Lipid Research, Vol. 59, No. 10, 01.01.2018, p. 2001-2017.

Research output: Contribution to journalArticle

Burla, B, Arita, M, Arita, M, Bendt, AK, Cazenave-Gassiot, A, Dennis, EA, Ekroos, K, Han, X, Ikeda, K, Liebisch, G, Lin, MK, Loh, TP, Meikle, PJ, Orešič, M, Quehenberger, O, Shevchenko, A, Torta, F, Wakelam, MJO, Wheelock, CE & Wenk, MR 2018, 'MS-based lipidomics of human blood plasma: A community-initiated position paper to develop accepted guidelines', Journal of Lipid Research, vol. 59, no. 10, pp. 2001-2017. https://doi.org/10.1194/jlr.S087163
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 J.O. ; Wheelock, Craig E. ; Wenk, Markus R. / MS-based lipidomics of human blood plasma : A community-initiated position paper to develop accepted guidelines. In: Journal of Lipid Research. 2018 ; Vol. 59, No. 10. pp. 2001-2017.
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