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A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS

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Title: A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS
Authors: Kaluarachchi, M
Boulangé, C
Karaman, I
Lindon, JC
Ebbels, T
Elliott, P
Tracy, R
Olson, NC
Item Type: Journal Article
Abstract: Introduction: Differences in the metabolite profiles between serum and plasma are incompletely understood. Objectives: To evaluate metabolic profile differences between serum and plasma and among plasma sample subtypes. Methods: We analyzed serum, platelet rich plasma (PRP), platelet poor plasma (PPP), and platelet free plasma (PFP), collected from 8 non-fasting apparently healthy women, using untargeted standard 1D and CPMG 1H NMR and reverse phase and hydrophilic (HILIC) UPLC-MS. Differences between metabolic profiles were evaluated using validated principal component and orthogonal partial least squares discriminant analysis. Results Explorative analysis showed the main source of variation among samples was due to inter-individual differences with no grouping by sample type. After correcting for inter-individual differences, lipoproteins, lipids in VLDL/LDL, lactate, glutamine, and glucose were found to discriminate serum from plasma in NMR analyses. In UPLC-MS analyses, lysophosphatidylethanolamine (lysoPE)(18:0) and lysophosphatidic acid(20:0) were higher in serum, and phosphatidylcholines (PC)(16:1/18:2, 20:3/18:0, O-20:0/22:4), lysoPC(16:0), PE(O-18:2/20:4), sphingomyelin(18:0/22:0), and linoleic acid were lower. In plasma subtype analyses, isoleucine, leucine, valine, phenylalanine, glutamate, and pyruvate were higher among PRP samples compared with PPP and PFP by NMR while lipids in VLDL/LDL, citrate, and glutamine were lower. By UPLC-MS, PE(18:0/18:2) and PC(P-16:0/20:4) were higher in PRP compared with PFP samples. Conclusions: Correction for inter-individual variation was required to detect metabolite differences between serum and plasma. Our results suggest the potential importance of inter-individual effects and sample type on the results from serum and plasma metabolic phenotyping studies.
Issue Date: 1-Mar-2018
Date of Acceptance: 29-Jan-2018
URI: http://hdl.handle.net/10044/1/56861
DOI: https://dx.doi.org/10.1007/s11306-018-1332-1
ISSN: 1573-3882
Publisher: Springer Verlag
Journal / Book Title: Metabolomics
Volume: 14
Copyright Statement: © Springer Science+Business Media, LLC, part of Springer Nature 2018. The final publication is available at Springer via https://link.springer.com/article/10.1007%2Fs11306-018-1332-1
Sponsor/Funder: Commission of the European Communities
Medical Research Council (MRC)
Medical Research Council (MRC)
National Institute for Health Research
Medical Research Council (MRC)
European Molecular Biology Laboratory
Medical Research Council (MRC)
National Institutes of Health
Imperial College Healthcare NHS Trust- BRC Funding
UK DRI Ltd
Funder's Grant Number: 305422
MR/L01632X/1
MR/L01341X/1
RTJ6219303-1
MR/M501669/1
654241
MR/L01632X/1
RO1HL133932
RDF03
N/A
Keywords: Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Metabolic phenotyping
Metabolic profiling
NMR
Plasma
Serum
UPLC-MS
NMR-SPECTROSCOPY
BLOOD-PLASMA
URINE
H-1
IDENTIFICATION
METABOLOMICS
METABONOMICS
PLATELETS
RECEPTOR
0301 Analytical Chemistry
1103 Clinical Sciences
0601 Biochemistry And Cell Biology
Analytical Chemistry
Publication Status: Published
Article Number: 32
Online Publication Date: 2018-02-13
Appears in Collections:Department of Surgery and Cancer