Abstract
This study reports an accurate assignment of the resonance signals present in 1H-NMR spectra of human blood plasma. Hereto, blood plasma was spiked with 32 different metabolites in relevant concentrations since reported chemical shift values show quite some variability depending on the biofluid under study and the applied experimental measuring conditions. The resulting information was used to rationally divide the 1H-NMR spectrum in 110 well-defined integration regions for application in metabolomics. A case–control dataset of 53 breast cancer patients and 52 controls was investigated in order to demonstrate the proof of principle. After removal of noisy variables, i.e. variables exceeding a premised threshold for the coefficient of variation, the groups could be discriminated by OPLS-DA multivariate statistics with a sensitivity and specificity of 83 and 94 %, respectively. In addition, the classification was validated in a small but independent cohort. The proposed methodology might pave the way towards a better understanding of disturbances in disease-related biochemical pathways and so, to the clinical relevance of study findings.
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Abbreviations
- 1H:
-
Proton
- BMI:
-
Body mass index
- CPMG:
-
Carr-Purcell-Meiboom-Gill
- ChEBI:
-
Chemical Entities of Biological Interest
- D2O:
-
Deuterium oxide
- DCIS:
-
Ductal carcinoma in situ
- DModX:
-
Distance to model
- ER:
-
Estrogen receptor
- GC:
-
Gas chromatography
- IDA:
-
Invasive ductal adenocarcinoma
- ILA:
-
Invasive lobular adenocarcinoma
- IUPAC-IUB:
-
Nomenclature committee of the international union of biochemistry
- LC:
-
Liquid chromatography
- MHz:
-
Megahertz
- MS:
-
Mass spectrometry
- NMR:
-
Nuclear magnetic resonance
- OPLS-DA:
-
Orthogonal partial least squares-discriminant analysis
- PCA:
-
Principal component analysis
- ppm:
-
Parts per million
- PR:
-
Progesterone receptor
- RF:
-
Radio frequency
- S/N:
-
Signal-to-noise ratio
- TSP:
-
Trimethylsilyl-2,2,3,3-tetradeuteropropionic acid
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Acknowledgments
This study is part of the Limburg Clinical Research Program UHasselt-ZOL-Jessa, supported by the foundation Limburg Sterk Merk, Hasselt University, Ziekenhuis Oost-Limburg and Jessa Hospital. We thank the Research Foundation Flanders (FWO-Vlaanderen) for their support via the MULTIMAR scientific research community project. We thank P. Degryse for his valuable contribution to the statistical discussions.
Ethical standards
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from all patients for being included in the study.
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The authors Evelyne Louis and Liene Bervoets contributed equally to this work.
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Louis, E., Bervoets, L., Reekmans, G. et al. Phenotyping human blood plasma by 1H-NMR: a robust protocol based on metabolite spiking and its evaluation in breast cancer. Metabolomics 11, 225–236 (2015). https://doi.org/10.1007/s11306-014-0690-6
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DOI: https://doi.org/10.1007/s11306-014-0690-6