Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring
2021
Ghorasaini, Mohan | Mohammed, Yassene | Adamski, Jerzy | Bettcher, Lisa | Bowden, John A. | Cabruja, Matias | Contrepois, Kévin | Ellenberger, Mathew | Gajera, Bharat | Haid, Mark | Hornburg, Daniel | Hunter, Christie | Jones, Christina M. | Klein, Théo | Mayboroda, Oleg | Mirzaian, Mina | Moaddel, Ruin | Ferrucci, Luigi | Lovett, Jacqueline | Nazir, Kenneth | Pearson, Mackenzie | Ubhi, Baljit K. | Raftery, Daniel | Riols, Fabien | Sayers, Rebekah | Sijbrands, Eric J. G. | Snyder, Michael P. | Su, Baolong | Velagapudi, Vidya | Williams, Kevin J. | de Rijke, Yolanda B. | Giera, Martin
Modern biomarker and translational research as well as personalized health care studies rely heavily on powerful omics’ technologies, including metabolomics and lipidomics. However, to translate metabolomics and lipidomics discoveries into a high-throughput clinical setting, standardization is of utmost importance. Here, we compared and benchmarked a quantitative lipidomics platform. The employed Lipidyzer platform is based on lipid class separation by means of differential mobility spectrometry with subsequent multiple reaction monitoring. Quantitation is achieved by the use of 54 deuterated internal standards and an automated informatics approach. We investigated the platform performance across nine laboratories using NIST SRM 1950–Metabolites in Frozen Human Plasma, and three NIST Candidate Reference Materials 8231–Frozen Human Plasma Suite for Metabolomics (high triglyceride, diabetic, and African-American plasma). In addition, we comparatively analyzed 59 plasma samples from individuals with familial hypercholesterolemia from a clinical cohort study. We provide evidence that the more practical methyl-tert-butyl ether extraction outperforms the classic Bligh and Dyer approach and compare our results with two previously published ring trials. In summary, we present standardized lipidomics protocols, allowing for the highly reproducible analysis of several hundred human plasma lipids, and present detailed molecular information for potentially disease relevant and ethnicity-related materials.
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