A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS
File(s)
Accepted version
Author(s)
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.
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.
Date Issued
2018-03-01
Date Acceptance
2018-01-29
Citation
Metabolomics, 2018, 14
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
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
Grant Number
305422
MR/L01632X/1
MR/L01341X/1
RTJ6219303-1
MR/M501669/1
654241
MR/L01632X/1
RO1HL133932
RDF03
N/A
Subjects
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
Date Publish Online
2018-02-13