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Quell, J. ; Römisch-Margl, W. ; Haid, M. ; Krumsiek, J. ; Skurk, T.* ; Halama, A.* ; Stephan, N.* ; Adamski, J. ; Hauner, H.* ; Mook-Kanamori, D.O.* ; Mohney, R.P.* ; Daniel, H.* ; Suhre, K.* ; Kastenmüller, G.

Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics.

Metabolites 9:109 (2019)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Kit-based assays, such as AbsoluteIDQ(TM) p150, are widely used in large cohort studies and provide a standardized method to quantify blood concentrations of phosphatidylcholines (PCs). Many disease-relevant associations of PCs were reported using this method. However, their interpretation is hampered by lack of functionally-relevant information on the detailed fatty acid side-chain compositions as only the total number of carbon atoms and double bonds is identified by the kit. To enable more substantiated interpretations, we characterized these PC sums using the side-chain resolving Lipidyzer(TM) platform, analyzing 223 samples in parallel to the AbsoluteIDQ(TM). Combining these datasets, we estimated the quantitative composition of PC sums and subsequently tested their replication in an independent cohort. We identified major constituents of 28 PC sums, revealing also various unexpected compositions. As an example, PC 16:0_22:5 accounted for more than 50% of the PC sum with in total 38 carbon atoms and 5 double bonds (PC aa 38:5). For 13 PC sums, we found relatively high abundances of odd-chain fatty acids. In conclusion, our study provides insights in PC compositions in human plasma, facilitating interpretation of existing epidemiological data sets and potentially enabling imputation of PC compositions for future meta-analyses of lipidomics data.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Metabolomics ; Lipidomics ; Phospholipids ; Isobaric Phosphatidylcholines ; Lipid Species ; Fatty Acid Composition ; Platform Comparison ; Harmonization ; Imputation; Mobility Spectrometry; Acyl-chain; Metabolism; Lipids; Serum; Diversity; Disease; Health
Sprache englisch
Veröffentlichungsjahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 2218-1989
e-ISSN 2218-1989
Zeitschrift Metabolites
Quellenangaben Band: 9, Heft: 6, Seiten: , Artikelnummer: 109 Supplement: ,
Verlag MDPI
Verlagsort St Alban-anlage 66, Ch-4052 Basel, Switzerland
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Computational Biology (ICB)
Molekulare Endokrinologie und Metabolismus (MEM)
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30205 - Bioengineering and Digital Health
30201 - Metabolic Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-503700-001
G-503891-001
G-505600-003
G-554100-001
DOI 10.3390/metabo9060109
WOS ID WOS:000475294600005
PubMed ID 31181753
Erfassungsdatum 2019-06-13
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