Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards

National Institute of Standards and Technology, Federico Torta, Nils Hoffmann, Bo Burla, Irina Alecu, Makoto Arita, Takeshi Bamba, Steffany A.L. Bennett, Justine Bertrand-Michel, Britta Brügger, Mónica P. Cala, Dolores Camacho-Muñoz, Antonio Checa, Michael Chen, Michaela Chocholoušková, Michelle Cinel, Emeline Chu-Van, Benoit Colsch, Cristina Coman, Lisa ConnellBebiana C. Sousa, Alex M. Dickens, Maria Fedorova, Finnur Freyr Eiríksson, Hector Gallart-Ayala, Mohan Ghorasaini, Martin Giera, Xue Li Guan, Mark Haid, Thomas Hankemeier, Amy Harms, Marcus Höring, Michal Holčapek, Thorsten Hornemann, Chunxiu Hu, Andreas J. Hülsmeier, Kevin Huynh, Christina M. Jones, Julijana Ivanisevic, Yoshihiro Izumi, Harald C. Köfeler, Sin Man Lam, Mike Lange, Jong Cheol Lee, Gerhard Liebisch, Katrice Lippa, Andrea F. Lopez-Clavijo, Malena Manzi, Manuela R. Martinefski, Denise Wolrab, Robert Ahrends (Corresponding author), Markus R. Wenk (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Abstract

In this community effort, we compare measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as a set of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method and/or their method of choice. Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively. These results are the most precise (intra-laboratory CVs ≤ 4.2%) and concordant (inter-laboratory CVs < 14%) community-derived absolute concentration values reported to date for four clinically used ceramides in the commonly analyzed SRM 1950. We demonstrate that calibration using authentic labelled standards dramatically reduces data variability. Furthermore, we show how the use of shared RM can correct systematic quantitative biases and help in harmonizing lipidomics. Collectively, the results from the present study provide a significant knowledge base for translation of lipidomic technologies to future clinical applications that might require the determination of reference intervals (RIs) in various human populations or might need to estimate reference change values (RCV), when analytical variability is a key factor for recall during multiple testing of individuals.

Original languageEnglish
Article number8562
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2024

Austrian Fields of Science 2012

  • 301302 Lipidomics research
  • 104002 Analytical chemistry

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