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Lipid metabolism of leukocytes in the unstimulated and activated states

Lipidomics has emerged as a powerful technique to study cellular lipid metabolism. As the lipidome contains numerous isomeric and isobaric species resulting in a significant overlap between different lipid classes, cutting-edge analytical technology is necessary for a comprehensive analysis of lipid...

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Autores principales: Alarcon-Barrera, Juan Carlos, von Hegedus, Johannes H., Brouwers, Hilde, Steenvoorden, Evelyne, Ioan-Facsinay, Andreea, Mayboroda, Oleg A., Ondo-Mendez, Alejandro, Giera, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118052/
https://www.ncbi.nlm.nih.gov/pubmed/32055910
http://dx.doi.org/10.1007/s00216-020-02460-8
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author Alarcon-Barrera, Juan Carlos
von Hegedus, Johannes H.
Brouwers, Hilde
Steenvoorden, Evelyne
Ioan-Facsinay, Andreea
Mayboroda, Oleg A.
Ondo-Mendez, Alejandro
Giera, Martin
author_facet Alarcon-Barrera, Juan Carlos
von Hegedus, Johannes H.
Brouwers, Hilde
Steenvoorden, Evelyne
Ioan-Facsinay, Andreea
Mayboroda, Oleg A.
Ondo-Mendez, Alejandro
Giera, Martin
author_sort Alarcon-Barrera, Juan Carlos
collection PubMed
description Lipidomics has emerged as a powerful technique to study cellular lipid metabolism. As the lipidome contains numerous isomeric and isobaric species resulting in a significant overlap between different lipid classes, cutting-edge analytical technology is necessary for a comprehensive analysis of lipid metabolism. Just recently, differential mobility spectrometry (DMS) has evolved as such a technology, helping to overcome several analytical challenges. We here set out to apply DMS and the Lipidyzer™ platform to obtain a comprehensive overview of leukocyte-related lipid metabolism in the resting and activated states. First, we tested the linearity and repeatability of the platform by using HL60 cells. We obtained good linearities for most of the thirteen analyzed lipid classes (correlation coefficient > 0.95), and good repeatability (%CV < 15). By comparing the lipidome of neutrophils (PMNs), monocytes (CD14+), and lymphocytes (CD4+), we shed light on leukocyte-specific lipid patterns as well as lipidomic changes occurring through differential stimulation. For example, at the resting state, PMNs proved to contain higher amounts of triacylglycerides compared to CD4+ and CD14+ cells. On the other hand, CD4+ and CD14+ cells contained higher levels of phospholipids and ceramides. Upon stimulation, diacylglycerides, hexosylceramides, phosphatidylcholines, phosphoethanolamines, and lysophosphoethanolamines were upregulated in CD4+ cells and PMNs, whereas CD14+ cells did not show significant changes. By exploring the fatty acid content of the significantly upregulated lipid classes, we mainly found increased concentrations of very long and polyunsaturated fatty acids. Our results indicate the usefulness of the Lipidyzer™ platform for studying cellular lipid metabolism. Its application allowed us to explore the lipidome of leukocytes. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-020-02460-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-71180522020-04-06 Lipid metabolism of leukocytes in the unstimulated and activated states Alarcon-Barrera, Juan Carlos von Hegedus, Johannes H. Brouwers, Hilde Steenvoorden, Evelyne Ioan-Facsinay, Andreea Mayboroda, Oleg A. Ondo-Mendez, Alejandro Giera, Martin Anal Bioanal Chem Research Paper Lipidomics has emerged as a powerful technique to study cellular lipid metabolism. As the lipidome contains numerous isomeric and isobaric species resulting in a significant overlap between different lipid classes, cutting-edge analytical technology is necessary for a comprehensive analysis of lipid metabolism. Just recently, differential mobility spectrometry (DMS) has evolved as such a technology, helping to overcome several analytical challenges. We here set out to apply DMS and the Lipidyzer™ platform to obtain a comprehensive overview of leukocyte-related lipid metabolism in the resting and activated states. First, we tested the linearity and repeatability of the platform by using HL60 cells. We obtained good linearities for most of the thirteen analyzed lipid classes (correlation coefficient > 0.95), and good repeatability (%CV < 15). By comparing the lipidome of neutrophils (PMNs), monocytes (CD14+), and lymphocytes (CD4+), we shed light on leukocyte-specific lipid patterns as well as lipidomic changes occurring through differential stimulation. For example, at the resting state, PMNs proved to contain higher amounts of triacylglycerides compared to CD4+ and CD14+ cells. On the other hand, CD4+ and CD14+ cells contained higher levels of phospholipids and ceramides. Upon stimulation, diacylglycerides, hexosylceramides, phosphatidylcholines, phosphoethanolamines, and lysophosphoethanolamines were upregulated in CD4+ cells and PMNs, whereas CD14+ cells did not show significant changes. By exploring the fatty acid content of the significantly upregulated lipid classes, we mainly found increased concentrations of very long and polyunsaturated fatty acids. Our results indicate the usefulness of the Lipidyzer™ platform for studying cellular lipid metabolism. Its application allowed us to explore the lipidome of leukocytes. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-020-02460-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-02-14 2020 /pmc/articles/PMC7118052/ /pubmed/32055910 http://dx.doi.org/10.1007/s00216-020-02460-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Paper
Alarcon-Barrera, Juan Carlos
von Hegedus, Johannes H.
Brouwers, Hilde
Steenvoorden, Evelyne
Ioan-Facsinay, Andreea
Mayboroda, Oleg A.
Ondo-Mendez, Alejandro
Giera, Martin
Lipid metabolism of leukocytes in the unstimulated and activated states
title Lipid metabolism of leukocytes in the unstimulated and activated states
title_full Lipid metabolism of leukocytes in the unstimulated and activated states
title_fullStr Lipid metabolism of leukocytes in the unstimulated and activated states
title_full_unstemmed Lipid metabolism of leukocytes in the unstimulated and activated states
title_short Lipid metabolism of leukocytes in the unstimulated and activated states
title_sort lipid metabolism of leukocytes in the unstimulated and activated states
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118052/
https://www.ncbi.nlm.nih.gov/pubmed/32055910
http://dx.doi.org/10.1007/s00216-020-02460-8
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