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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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.

Details

Title
Characterization of Bulk Phosphatidylcholine Compositions in Human Plasma Using Side-Chain Resolving Lipidomics
Author
Quell, Jan D 1   VIAFID ORCID Logo  ; Werner Römisch-Margl 2   VIAFID ORCID Logo  ; Haid, Mark 3   VIAFID ORCID Logo  ; Krumsiek, Jan 4 ; Skurk, Thomas 5   VIAFID ORCID Logo  ; Halama, Anna 6 ; Stephan, Nisha 6 ; Adamski, Jerzy 7   VIAFID ORCID Logo  ; Hauner, Hans 8 ; Mook-Kanamori, Dennis 9 ; Mohney, Robert P 10   VIAFID ORCID Logo  ; Daniel, Hannelore 11 ; Suhre, Karsten 6   VIAFID ORCID Logo  ; Kastenmüller, Gabi 12 

 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany; Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising-Weihenstephan, Germany 
 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany 
 Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany 
 Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, NY 10021, USA; Institute of Computational Bioinformatics, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany 
 ZIEL Institute for Food and Health, Core Facility Human Studies Technical University of Munich, 85354 Freising-Weihenstephan, Germany; Else Kroener-Frensenius-Center of Nutritional Medicine, Technical University of Munich, 85354 Freising-Weihenstephan, Germany 
 Department of Physiology and Biophysics, Weill Cornell Medicine—Qatar, Education City, P.O. Box 24144, Doha, Qatar 
 Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore 
 Else Kroener-Frensenius-Center of Nutritional Medicine, Technical University of Munich, 85354 Freising-Weihenstephan, Germany; Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, Technical University of Munich, 80992 Munich, Germany 
 Department of Clinical Epidemiology, Leiden University Medical Center, 2333 Leiden, The Netherlands; Public Health and Primary Care, Leiden University Medical Center, 2333 Leiden, The Netherlands 
10  Metabolon, Inc., Morrisville, NC 27560, USA 
11  Chair of Nutrition Physiology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising-Weihenstephan, Germany 
12  Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany 
First page
109
Publication year
2019
Publication date
2019
Publisher
MDPI AG
e-ISSN
22181989
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548935262
Copyright
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.