Artículo

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

Torta, Federico ; Hoffmann, Nils ; Burla, Bo ; Alecu, Irina ; Arita, Makoto ; Bamba, Takeshi ; Bennett, Steffany A. L. ; Bertrand Michel, Justine ; Brügger, Britta ; Cala, Mónica P. ; Camacho Muñoz, Dolores ; Checa, Antonio ; Chen, Michael ; Chocholoušková, Michaela ; Cinel, Michelle ; Chu Van, Emeline ; Colsch, Benoit ; Coman, Cristina ; Connell, Lisa ; Sousa, Bebiana C. ; Dickens, Alex M. ; Fedorova, Maria ; Eiríksson, Finnur Freyr ; Martinefski, Manuela Romina Icon; Monge, Maria Eugenia Icon; Xu, Tianrun ; Bowden, John A. ; Ekroos, Kim ; Ahrends, Robert ; Wenk, Markus R.

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Fecha

10/2024

Editorial

Springer Nature

Revista

Nature Communications

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

2041-1723

eISSN

ISBN

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Inglés

Tipo del evento

Clasificación temática

Resumen

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.

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