Abstract
Bioactive lipids represent critical intra- and intercellular signaling molecules, and have been implicated in both physiologic homeostasis and disease pathology. Measurement of bioactive lipids is vital toward understanding the role of these signaling intermediates in human biology. Current analytical methods for assessment of bioactive lipids in human biosamples are limited, however, in breath of analytes assayed as well as robustness and time required for measures across thousands of samples. Herein, we describe in comprehensive detail a rapid and robust analytical method using liquid chromatography-mass spectrometry (LC-MS) for non-targeted measurement of over 7000 bioactive lipids, including eicosanoids and eicosanoid-related metabolites, in human biosamples. These methods may be applied to the study of population scale cohorts to uncover previously unrecognized roles for bioactive lipid species in human biology.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Hannun YA, Obeid LM (2008) Principles of bioactive lipid signaling: lessons from sphingolipids. Nat Rev Mol Cell Biol 9(2):139–150. https://doi.org/10.1038/nrm2329
Balazy M (2004) Eicosanomics: targeted lipidomics of eicosanoids in biological systems. Prostaglandins Other Lipid Mediat 73(3–4):173–180. https://doi.org/10.1016/j.prostaglandins.2004.03.003
Chiurchiu V, Maccarrone M (2016) Bioactive lipids as modulators of immunity, inflammation and emotions. Curr Opin Pharmacol 29:54–62. https://doi.org/10.1016/j.coph.2016.06.005
Nagao K, Yanagita T (2008) Bioactive lipids in metabolic syndrome. Prog Lipid Res 47(2):127–146. https://doi.org/10.1016/j.plipres.2007.12.002
Lukiw WJ, Cui JG, Marcheselli VL et al (2005) A role for docosahexaenoic acid-derived neuroprotectin D1 in neural cell survival and Alzheimer disease. J Clin Invest 115(10):2774–2783. https://doi.org/10.1172/JCI25420
Stillwell W (2016) Bioactive lipids. In: An introduction to biological membranes. Elsevier, New York, pp 453–478. https://doi.org/10.1016/b978-0-444-63772-7.00020-8
Dennis EA, Norris PC (2015) Eicosanoid storm in infection and inflammation. Nat Rev Immunol 15(8):511–523. https://doi.org/10.1038/nri3859
Deems R, Buczynski MW, Bowers-Gentry R, Harkewicz R et al (2007) Detection and quantitation of eicosanoids via high performance liquid chromatography-electrospray ionization-mass spectrometry. In: Lipidomics and bioactive lipids: mass-spectrometry–based lipid analysis, Methods Enzymol, pp 59–82. https://doi.org/10.1016/s0076-6879(07)32003-x
Mesaros C, Lee SH, Blair IA (2009) Targeted quantitative analysis of eicosanoid lipids in biological samples using liquid chromatography-tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 877(26):2736–2745. https://doi.org/10.1016/j.jchromb.2009.03.011
Masoodi M, Mir AA, Petasis NA et al (2008) Simultaneous lipidomic analysis of three families of bioactive lipid mediators leukotrienes, resolvins, protectins and related hydroxy-fatty acids by liquid chromatography/electrospray ionisation tandem mass spectrometry. Rapid Commun Mass Spectrom 22(2):75–83. https://doi.org/10.1002/rcm.3331
Shinde DD, Kim KB, Oh KS et al (2012) LC-MS/MS for the simultaneous analysis of arachidonic acid and 32 related metabolites in human plasma: basal plasma concentrations and aspirin-induced changes of eicosanoids. J Chromatogr B Analyt Technol Biomed Life Sci 911:113–121. https://doi.org/10.1016/j.jchromb.2012.11.004
Kortz L, Dorow J, Becker S et al (2013) Fast liquid chromatography-quadrupole linear ion trap-mass spectrometry analysis of polyunsaturated fatty acids and eicosanoids in human plasma. J Chromatogr B Analyt Technol Biomed Life Sci 927:209–213. https://doi.org/10.1016/j.jchromb.2013.03.012
Wang Y, Armando AM, Quehenberger O et al (2014) Comprehensive ultra-performance liquid chromatographic separation and mass spectrometric analysis of eicosanoid metabolites in human samples. J Chromatogr A 1359:60–69. https://doi.org/10.1016/j.chroma.2014.07.006
The LIPID MAPS Lipidomics Gateway (2006). http://www.lipidmaps.org/. Accessed 2 Jan 2018
Watrous JD, Henglin M, Claggett B et al (2017) Visualization, quantification, and alignment of spectral drift in population scale untargeted metabolomics data. Anal Chem 89(3):1399–1404. https://doi.org/10.1021/acs.analchem.6b04337
Acknowledgments
This work was supported by grants from the UC San Diego Frontiers of Innovation Scholars Program (K.L.), the Doris Duke Charitable Foundation (#2015092: M.J.), Tobacco-Related Disease Research Program (#24RT-0032: M.J., #24FT-0010: J.D.W.), the American Heart Association (CVGPS Pathway Award: S.C., M.J.), and National Institutes of Health (R01ES027595; R01HL134168: M.J., S.C.).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Lagerborg, K.A., Watrous, J.D., Cheng, S., Jain, M. (2019). High-Throughput Measure of Bioactive Lipids Using Non-targeted Mass Spectrometry. In: Fendt, SM., Lunt, S. (eds) Metabolic Signaling. Methods in Molecular Biology, vol 1862. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8769-6_2
Download citation
DOI: https://doi.org/10.1007/978-1-4939-8769-6_2
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-8768-9
Online ISBN: 978-1-4939-8769-6
eBook Packages: Springer Protocols