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Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore; Precision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore; Signature Research Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore (NUS) Medical School, Singapore, 169857, Singapore.
Örebro University, School of Medical Sciences. Turku Bioscience Centre, University of Turku and Åbo Akademi University, 20520, Turku, Finland.ORCID iD: 0000-0002-2856-9165
Lipidomics Consulting Ltd., Espoo, Finland.
Department of Analytical Chemistry, University of Vienna, Vienna, Austria.
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Number of Authors: 812024 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 15, no 1, article id 8562Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 15, no 1, article id 8562
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Clinical Laboratory Medicine
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URN: urn:nbn:se:oru:diva-116538DOI: 10.1038/s41467-024-52087-xISI: 001328657100031PubMedID: 39362843Scopus ID: 2-s2.0-85205605136OAI: oai:DiVA.org:oru-116538DiVA, id: diva2:1903378
Available from: 2024-10-04 Created: 2024-10-04 Last updated: 2024-11-05Bibliographically approved

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