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Metabolites. 2019 Jun 8;9(6). pii: E109. doi: 10.3390/metabo9060109.

Characterization of Bulk Phosphatidylcholine Compositions in Human Plasma Using Side-Chain Resolving Lipidomics.

Author information

1
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. jan.quell@tum.de.
2
Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising-Weihenstephan, Germany. jan.quell@tum.de.
3
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. werner.roemisch@helmholtz-muenchen.de.
4
Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. mark.haid@helmholtz-muenchen.de.
5
Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, NY 10021, USA. jak2043@med.cornell.edu.
6
Institute of Computational Bioinformatics, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. jak2043@med.cornell.edu.
7
ZIEL Institute for Food and Health, Core Facility Human Studies Technical University of Munich, 85354 Freising-Weihenstephan, Germany. thomas.skurk@tum.de.
8
Else Kroener-Frensenius-Center of Nutritional Medicine, Technical University of Munich, 85354 Freising-Weihenstephan, Germany. thomas.skurk@tum.de.
9
Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, P.O. Box 24144, Doha, Qatar. amh2025@qatar-med.cornell.edu.
10
Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, P.O. Box 24144, Doha, Qatar. nis2034@qatar-med.cornell.edu.
11
Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. adamski@helmholtz-muenchen.de.
12
Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore. adamski@helmholtz-muenchen.de.
13
Else Kroener-Frensenius-Center of Nutritional Medicine, Technical University of Munich, 85354 Freising-Weihenstephan, Germany. hans.hauner@tum.de.
14
Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, Technical University of Munich, 80992 Munich, Germany. hans.hauner@tum.de.
15
Department of Clinical Epidemiology, Leiden University Medical Center, 2333 Leiden, The Netherlands. d.o.mook@lumc.nl.
16
Public Health and Primary Care, Leiden University Medical Center, 2333 Leiden, The Netherlands. d.o.mook@lumc.nl.
17
Metabolon, Inc., Morrisville, NC 27560, USA. rmohney@metabolon.com.
18
Chair of Nutrition Physiology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising-Weihenstephan, Germany. contact@hdaniel.de.
19
Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, P.O. Box 24144, Doha, Qatar. karsten@suhre.fr.
20
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany. g.kastenmueller@helmholtz-muenchen.de.
21
German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany. g.kastenmueller@helmholtz-muenchen.de.

Abstract

Kit-based assays, such as AbsoluteIDQTM 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 LipidyzerTM platform, analyzing 223 samples in parallel to the AbsoluteIDQTM. 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.

KEYWORDS:

fatty acid composition; harmonization; imputation; isobaric phosphatidylcholines; lipid species; lipidomics; metabolomics; phospholipids; platform comparison

PMID:
31181753
DOI:
10.3390/metabo9060109
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