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Article

Untargeted Lipidomic Profiling of Dry Blood Spots Using SFC-HRMS

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MetaboHUB-MetaToul-Lipidomique, MetaboHUB-ANR-11-INBS-0010, Inserm U1297/Université Paul Sabatier Toulouse III, 31432 Toulouse, France
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MetaboHUB-MetaToul-Axiom, MetaboHUB-ANR-11-INBS-0010, INRAE Toxalim, Université Paul Sabtier, 31027 Toulouse, France
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MELISA Core Facility, Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), Oniris, INRΑE, 44307 Nantes, France
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Laboratoire de Biochimie, Hôpital Purpan, CHU Toulouse, 31059 Toulouse, France
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INSERM, UMR1297, Institute of Metabolic and Cardiovascular Diseases, University Paul Sabatier, 31432 Toulouse, France
*
Author to whom correspondence should be addressed.
Academic Editors: Amaury Cazenave Gassiot, Federico Tesio Torta and Bo Johannes Burla
Metabolites 2021, 11(5), 305; https://doi.org/10.3390/metabo11050305
Received: 12 March 2021 / Revised: 30 April 2021 / Accepted: 5 May 2021 / Published: 11 May 2021
(This article belongs to the Special Issue Mass Spectrometry-Based Lipidomics)
Lipids are essential cellular constituents that have many critical roles in physiological functions. They are notably involved in energy storage and cell signaling as second messengers, and they are major constituents of cell membranes, including lipid rafts. As a consequence, they are implicated in a large number of heterogeneous diseases, such as cancer, diabetes, neurological disorders, and inherited metabolic diseases. Due to the high structural diversity and complexity of lipid species, the presence of isomeric and isobaric lipid species, and their occurrence at a large concentration scale, a complete lipidomic profiling of biological matrices remains challenging, especially in clinical contexts. Using supercritical fluid chromatography coupled with high-resolution mass spectrometry, we have developed and validated an untargeted lipidomic approach to the profiling of plasma and blood. Moreover, we have tested the technique using the Dry Blood Spot (DBS) method and found that it allows for the easy collection of blood for analysis. To develop the method, we performed the optimization of the separation and detection of lipid species on pure standards, reference human plasma (SRM1950), whole blood, and DBS. These analyses allowed an in-house lipid data bank to be built. Using the MS-Dial software, we developed an automatic process for the relative quantification of around 500 lipids species belonging to the 6 main classes of lipids (including phospholipids, sphingolipids, free fatty acids, sterols, and fatty acyl-carnitines). Then, we compared the method using the published data for SRM 1950 and a mouse blood sample, along with another sample of the same blood collected using the DBS method. In this study, we provided a method for blood lipidomic profiling that can be used for the easy sampling of dry blood spots. View Full-Text
Keywords: Lipidomic 1; Supercritical Fluids Chromatography 3; Plasma 3; Dry Blood Spot 4 Lipidomic 1; Supercritical Fluids Chromatography 3; Plasma 3; Dry Blood Spot 4
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MDPI and ACS Style

Le Faouder, P.; Soullier, J.; Tremblay-Franco, M.; Tournadre, A.; Martin, J.-F.; Guitton, Y.; Carlé, C.; Caspar-Bauguil, S.; Denechaud, P.-D.; Bertrand-Michel, J. Untargeted Lipidomic Profiling of Dry Blood Spots Using SFC-HRMS. Metabolites 2021, 11, 305. https://doi.org/10.3390/metabo11050305

AMA Style

Le Faouder P, Soullier J, Tremblay-Franco M, Tournadre A, Martin J-F, Guitton Y, Carlé C, Caspar-Bauguil S, Denechaud P-D, Bertrand-Michel J. Untargeted Lipidomic Profiling of Dry Blood Spots Using SFC-HRMS. Metabolites. 2021; 11(5):305. https://doi.org/10.3390/metabo11050305

Chicago/Turabian Style

Le Faouder, Pauline, Julia Soullier, Marie Tremblay-Franco, Anthony Tournadre, Jean-François Martin, Yann Guitton, Caroline Carlé, Sylvie Caspar-Bauguil, Pierre-Damien Denechaud, and Justine Bertrand-Michel. 2021. "Untargeted Lipidomic Profiling of Dry Blood Spots Using SFC-HRMS" Metabolites 11, no. 5: 305. https://doi.org/10.3390/metabo11050305

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