International Ring Trial of a High Resolution Targeted Metabolomics and Lipidomics Platform for Serum and Plasma Analysis.
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Date
2019-10-22ICR Author
Author
Thompson, JW
Adams, KJ
Adamski, J
Asad, Y
Borts, D
Bowden, JA
Byram, G
Dang, V
Dunn, WB
Fernandez, F
Fiehn, O
Gaul, DA
Hühmer, AF
Kalli, A
Koal, T
Koeniger, S
Mandal, R
Meier, F
Naser, FJ
O'Neil, D
Pal, A
Patti, GJ
Pham-Tuan, H
Prehn, C
Raynaud, FI
Shen, T
Southam, AD
St John-Williams, L
Sulek, K
Vasilopoulou, CG
Viant, M
Winder, CL
Wishart, D
Zhang, L
Zheng, J
Moseley, MA
Type
Journal Article
Metadata
Show full item recordAbstract
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 <50% from the reference value. The findings of this study result in recommendations of best practices for system suitability, quality control, and calibration. We demonstrate that with appropriate controls, high-resolution metabolomics can provide accurate results with good precision across laboratories, and the p400HR therefore is a reliable approach for generating consistent and comparable metabolomics data.
Collections
Subject
Animals
Humans
Mice
Rats
Biogenic Amines
Lipids
Amino Acids
Blood Chemical Analysis
Chromatography, High Pressure Liquid
Analysis of Variance
Reproducibility of Results
Female
Male
Mass Spectrometry
Metabolomics
Metabolome
Limit of Detection
Data Aggregation
Lipidomics
Research team
Clinical Pharmacology & Trials (including Drug Metabolism & Pharmacokinetics Group)
Language
eng
Date accepted
2019-10-22
License start date
2019-11-08
Citation
Analytical chemistry, 2019, 91 (22), pp. 14407 - 14416
Publisher
AMER CHEMICAL SOC