Abstract
Serum analysis with LC/MS can yield thousands of potential metabolites. However, in metabolomics, biomarkers of interest will often be of low abundance, and ionization suppression from high abundance endogenous metabolites such as phospholipids may prevent the detection of these metabolites. Here a cerium-modified column and methyl-tert-butyl-ether (MTBE) liquid–liquid extraction were employed to remove phospholipids from serum in order to obtain a more comprehensive metabolite profile. XCMS, an in-house developed data analysis software platform, showed that the intensity of existing endogenous metabolites increased, and that new metabolites were observed. This application of phospholipid capture in combination with XCMS non-linear data processing has enormous potential in metabolite profiling, for biomarker detection and quantitation.
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Acknowledgment
The authors would like to acknowledge DOE grant DE-AC02-05CH11231 and NIH SNAPS grant 5 P30 MH062261 for support of this work.
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Want, E.J., Smith, C.A., Qin, C. et al. Phospholipid capture combined with non-linear chromatographic correction for improved serum metabolite profiling. Metabolomics 2, 145–154 (2006). https://doi.org/10.1007/s11306-006-0028-0
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DOI: https://doi.org/10.1007/s11306-006-0028-0