Journal article

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 Oresic, Oswald Quehenberger, Andrej Shevchenko, Federico Torta, Michael JO Wakelam, Craig E Wheelock, Markus R Wenk

Journal of Lipid Research | AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC | Published : 2018

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 ha..

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Grants

Awarded by National Research Foundation Singapore Grant


Awarded by Deutsche Forschungsgemeinschaft


Awarded by Swedish Heart-Lung Foundation


Awarded by Swedish Research Council Grant


Awarded by Foundation for the National Institutes of Health


Awarded by Japan Agency for Medical Research and Development Grant


Awarded by Japan Society for the Promotion of Science


Awarded by Japan Agency for Medical Research and Development Grants


Awarded by Biotechnology and Biological Sciences Research Council Grant


Awarded by Medical Research Council Grant


Awarded by Academy of Finland Grant


Awarded by European Commission Project LITMUS Grant


Awarded by National Institute of General Medical Sciences Grant


Awarded by NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES


Funding Acknowledgements

The MRW Laboratory (A.C-G., A.K.B., B.B., F.T., M.K.L., M.R.W.) is supported by grants from the National University of Singapore via the Life Sciences Institute and National Research Foundation Singapore Grant NRFI2015-05. A.S. was supported by the TRR83 Consortium (Project A17) funded by Deutsche Forschungsgemeinschaft and the LiSyM Consortium funded by Bundesministerium fur Bildung und Forschung, Germany. C.E.W. was supported by Swedish Heart-Lung Foundation Grants 20170734 and 20170603 and Swedish Research Council Grant 2016-02798. E.A.D. and O.Q. were supported by Foundation for the National Institutes of Health Grants U54 GM069338 and RO1 GM20501-41. K.I. was supported by Japan Agency for Medical Research and Development Grant JP18gm5910001. P.J.M. was supported by a Senior Research Fellowship from the National Health and Medical Research Council of Australia. Mak.A. was supported by Japan Society for the Promotion of Science Grants-in Aid for Scientific Research on Innovative Areas KAKENHI Grants 15H05897 and 15H05898. Mas.A. was supported by Japan Society for the Promotion of Science Grants 15H05897 and 17H03621, Japan Agency for Medical Research and Development Grants 17gm0910005h0403 and 17gm1010006h0001), and the National Bioscience Database Center Togo Project, Japan. M.J.O.W. is supported by Biotechnology and Biological Sciences Research Council Grant BB/P013384/1 and Medical Research Council Grant MR/M004821/1. M.O. is supported by Academy of Finland Grant 292568 and European Commission Project LITMUS Grant 777377. X.H. was partially supported by National Institute of General Medical Sciences Grant R01 GM105724. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.