Nontargeted lipidomics of novel human plasma reference materials: hypertriglyceridemic, diabetic, and African-American
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Nontargeted lipidomics of novel human plasma reference materials: hypertriglyceridemic, diabetic, and African-American Juan J. Aristizabal-Henao 1 & Christina M. Jones 2 & Katrice A. Lippa 2 & John A. Bowden 1 Received: 27 May 2020 / Revised: 5 August 2020 / Accepted: 21 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The unavailability of appropriate quality assurance/quality control materials in many lipidomics applications poses a significant challenge for lipidomics research. It is recommended that samples with certified values and/or consensus estimates, such as NIST SRM 1950–Metabolites in Frozen Human Plasma, be implemented in routine analyses to enable community-wide comparisons of lipidomics results and analytical workflows. Herein, we applied a nontargeted lipidomics method for the analysis of a new human plasma reference material suite developed by NIST (hypertriglyceridemic, diabetic, and African-American plasma pools), in addition to SRM 1950. We identified specific lipidomics fingerprints associated with each sample type, including lauric acid– containing lipids and elevated triacylglycerol levels in hypertriglyceridemic plasma, palmitoleic acid–containing lipids in diabetic plasma, and oxidized fatty acid–containing phospholipids in African-American plasma. This work highlights the importance of developing and profiling application-specific reference materials, while establishing reference data that may be used for system suitability and/or quality control metrics. Keywords Lipidomics . Mass spectrometry . Plasma . Reference materials . Analytical chemistry . Quality control
Introduction In recent years, applied health and basic research have increased their implementation of systems biology approaches for biomarker discovery and pathway elucidation [1–3]. Lipidomics, a subdiscipline of systems biology, has significantly benefited from technological advancements in mass spectrometry and the development of high-resolution/accurate mass applications, enabling the detection and characterization of hundreds to thousands of discrete lipid molecules in complex matrices with a high degree of structural detail [4–6]. However, the high diversity, ubiquitous nature, and dynamic Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00216-020-02910-3) contains supplementary material, which is available to authorized users. * John A. Bowden [email protected] 1
Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, 1333 Center Drive, Gainesville, FL 32610, USA
2
Chemical Sciences Division, National Institutes of Standards and Technology, Gaithersburg, MD 20899, USA
concentrations of lipids in biological samples present several challenges, which have been highlighted in recent reports [7–10]. Specifically, inadequate sample collection, handling, storage and extraction methods, as well as the choice of internal standard(s), analytical strategy (high-performance liquid chromatography
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