1. International Ring Trial of a High Resolution Targeted Metabolomics and Lipidomics Platform for Serum and Plasma Analysis
- Author
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Thompson, J Will, Adams, Kendra J, Adamski, Jerzy, Asad, Yasmin, Borts, David, Bowden, John A, Byram, Gregory, Dang, Viet, Dunn, Warwick B, Fernandez, Facundo, Fiehn, Oliver, Gaul, David A, Hühmer, Andreas FR, Kalli, Anastasia, Koal, Therese, Koeniger, Stormy, Mandal, Rupasri, Meier, Florian, Naser, Fuad J, O’Neil, Donna, Pal, Akos, Patti, Gary J, Pham-Tuan, Hai, Prehn, Cornelia, Raynaud, Florence I, Shen, Tong, Southam, Andrew D, St. John-Williams, Lisa, Sulek, Karolina, Vasilopoulou, Catherine G, Viant, Mark, Winder, Catherine L, Wishart, David, Zhang, Lun, Zheng, Jiamin, and Moseley, M Arthur
- Subjects
Amino Acids ,Analysis of Variance ,Animals ,Biogenic Amines ,Blood Chemical Analysis ,Chromatography ,High Pressure Liquid ,Data Aggregation ,Female ,Humans ,Limit of Detection ,Lipidomics ,Lipids ,Male ,Mass Spectrometry ,Metabolome ,Metabolomics ,Mice ,Rats ,Reproducibility of Results ,Analytical Chemistry ,Other Chemical Sciences - Abstract
A challenge facing metabolomics in the analysis of large human cohorts is the cross-laboratory comparability of quantitative metabolomics measurements. In this study, 14 laboratories analyzed various blood specimens using a common experimental protocol provided with the Biocrates AbsoluteIDQ p400HR kit, to quantify up to 408 metabolites. The specimens included human plasma and serum from male and female donors, mouse and rat plasma, as well as NIST SRM 1950 reference plasma. The metabolite classes covered range from polar (e.g., amino acids and biogenic amines) to nonpolar (e.g., diacyl- and triacyl-glycerols), and they span 11 common metabolite classes. The manuscript describes a strict system suitability testing (SST) criteria used to evaluate each laboratory's readiness to perform the assay, and provides the SST Skyline documents for public dissemination. The study found approximately 250 metabolites were routinely quantified in the sample types tested, using Orbitrap instruments. Interlaboratory variance for the NIST SRM-1950 has a median of 10% for amino acids, 24% for biogenic amines, 38% for acylcarnitines, 25% for glycerolipids, 23% for glycerophospholipids, 16% for cholesteryl esters, 15% for sphingolipids, and 9% for hexoses. Comparing to consensus values for NIST SRM-1950, nearly 80% of comparable analytes demonstrated bias of
- Published
- 2019