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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2024-10-03
DOI
https://doi.org/10.1038/s41467-024-52087-x
Citations
24
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
26.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Antonio Checa, Maria Fedorova, Kim Ekroos, Chunxiu Hu et al.
24 citations
Nature Communications
Neonatal Health and Biochemistry
26.62
article

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

Antonio Checa, Maria Fedorova, Kim Ekroos, Chunxiu Hu, Anna Nicolaou, Harald Köfeler, Sin Man Lam, Andreas J. Hülsmeier, Peter J. Meikle, Alex M. Dickens, Marcus Höring, Michelle Cinel, Finnur Freyr Eiríksson, Michaela Chocholoušková, Katrice A. Lippa, Irina Alecu, John A. Bowden, Raviswamy G H Math, Martin Giera, Michael J.O. Wakelam, Victoria J. Tyrrell, Cristina Coman, Masatomo Takahashi, Guowang Xu, Bebiana C. Sousa, Tianrun Xu, Thorsten Hornemann, Bo Burla, Lisa Connell, Denise Wolrab, Britta Brügger, Robert Ahrends, Gerhard Liebisch, Hiroshi Tsugawa, Tracey B. Schock, Kevin Huynh, Amy C. Harms, Steffany A. L. Bennett, Justine Bertrand‐Michel, Margrét Þorsteinsdóttir, Xue Li Guan, Daisuke Saigusa, Valerie B. O’Donnell, Anthony Tournadre, Grace van der Gugten, Dolores Camacho‐Muñoz, Michal Holčapek, Emeline Chu‐Van, Heidi Schwartz, Federico Torta, Thao Nguyen-Tran, Mark Haid, Makoto Arita, Myeong Hee Moon, Manuela Martinefski, Thomas Hankemeier, Markus R. Wenk, Julijana Ivanišević, Benoît Colsch, Fabien Riols, Marı́a Eugenia Monge, Sneha Muralidharan, Craig E. Wheelock, Héctor Gallart‐Ayala, Matej Orešič, Noriyuki Tomiyasu, Andrea F. Lopez‐Clavijo, Mohan Ghorasaini, Mónica P. Cala, Takeshi Bamba, Madhulika Singh, Malena Manzi, Nils Hoffmann, Guanghou Shui, Jong Cheol Lee, Michael Chen, Arvind Ramanathan, Yoshihiro Izumi, Christina M. Jones, Satyajit Mayor, Mike Lange
article en
24 citations

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.

Nature CommunicationsVol. 15(1)
Tata Institute of Fundamental Research (IN), Leiden University (NL), University of Vienna (AT), Babraham Institute (GB), Åbo Akademi University (FI), National Institute of Standards and Technology (US), Karolinska University Hospital (SE), Kyushu University (JP), University of Pardubice (CZ), University of British Columbia (CA), Baker Heart and Diabetes Institute (AU), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Inserm (FR), University of Turku (FI), Universidad de Los Andes (CO), University of Iceland (IS), National University of Singapore (SG), Forschungszentrum Jülich (DE), Nanyang Technological University (SG), Dalian Institute of Chemical Physics (CN), Turku Centre for Computer Science (FI), Yonsei University (KR), National Centre for Biological Sciences (IN), La Trobe University (AU), Chinese Academy of Sciences (CN), Tohoku University (JP), Medical University of Graz (AT), University of Zurich (CH), Heidelberg University (DE), Universidad de Buenos Aires (AR), Örebro University (SE), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Manchester Academic Health Science Centre (GB), Leiden University Medical Center (NL), St. Paul's Hospital (CA), Karolinska Institutet (SE), Helmholtz Zentrum München (DE), University Hospital Regensburg (DE), University of Florida (US), National Institute of Industrial Technology (AR), Institute for Stem Cell Biology and Regenerative Medicine (IN), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Technologies pour la Santé (FR), MIND Research Institute (US), RIKEN Center for Sustainable Resource Science (JP), Netherlands Metabolomics Centre (NL), NCCOS Hollings Marine Laboratory (US), LipidALL Technologies (China) (CN), Institute of Genetics and Developmental Biology (CN), CEA Paris-Saclay (FR), Tohoku Medical Megabank Organization (JP), Unité de Technologies Chimiques et Biologiques pour la Santé (FR), Lipidomix (Germany) (DE), Avanti Polar Lipids (United States) (US), Hamad bin Khalifa University (QA), Institut des Maladies Métaboliques et Cardiovasculaires (FR), Instituto de Química y Fisicoquímica Biológicas (AR), RIKEN Center for Integrative Medical Sciences (JP), Signature Research (United States) (US), Icelandic Transport Authority (IS), University Hospital Carl Gustav Carus (DE), Fundación Ciencias Exactas y Naturales (AR), University of Regensburg (DE), Technische Universität Dresden (DE), Cardiff University (GB), Teikyo University (JP), Yokohama City University (JP), Tokyo University of Agriculture and Technology (JP), Leipzig University (DE), BOKU University (AT), University of Lausanne (CH)
Biotechnology and Biological Sciences Research Council
Quality Education
Openalex Percentile: Top 0%
Neonatal Health and Biochemistry
26.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.