TY - JOUR
T1 - Beyond the limit of assignment of metabolites using minimal serum samples and 1H NMR spectroscopy with cross-validation by mass spectrometry
AU - Gupta, Ashish
AU - Kumar, Deepak
N1 - Funding Information:
Financial support was provided by Department of Biotechnology, New Delhi, India (BT/PR6547/GBD/27/450/2012) and Council of Scientific and Industrial Research (CSIR), New Delhi, India . The authors thank Prashant Singh Shakya for his assistance in preparing samples. Appendix A
Funding Information:
Financial support was provided by Department of Biotechnology, New Delhi, India (BT/PR6547/GBD/27/450/2012) and Council of Scientific and Industrial Research (CSIR), New Delhi, India. The authors thank Prashant Singh Shakya for his assistance in preparing samples.
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/3/20
Y1 - 2018/3/20
N2 - Identification of NMR-based metabolic indexes is limited by the deleterious effects of copious proteins and lipoproteins in the serum that accentuate the need for advance and high-throughput method. We tried to explore the use of a novel filtration (2KDa molecular weight cut-off) approach to remove the proteins from serum following use of less sample volume (only 150 μL of filtered serum), combining an array of 1D/2D NMR experiments (at 800 MHz spectrometer), spiking experiments with standard compounds, and validated by mass spectrometry. This novel method enabled the identification of a large number (n = 73) of metabolites and their percentage of abundance in the present study cohort. Mass spectrometry further validates and confirms the presence of all these 73 metabolites using same filtered serum. This study reveals seven new metabolites (citrulline, inosine, taurine, trimethyl amine, methylmalonate, uracil, methanol) in filtered serum using 1D/2D NMR spectroscopy that were not observed in earlier available literature using protein precipitation approach. This novel method delineates volatile metabolites, nitrogenous bases and nucleosides that may provide a milestone for the identification of inborn error of metabolism, pathogenicity at molecular level, disease identification and prognosis, and forensic studies using minimal volume of filtered serum samples and NMR spectroscopy.
AB - Identification of NMR-based metabolic indexes is limited by the deleterious effects of copious proteins and lipoproteins in the serum that accentuate the need for advance and high-throughput method. We tried to explore the use of a novel filtration (2KDa molecular weight cut-off) approach to remove the proteins from serum following use of less sample volume (only 150 μL of filtered serum), combining an array of 1D/2D NMR experiments (at 800 MHz spectrometer), spiking experiments with standard compounds, and validated by mass spectrometry. This novel method enabled the identification of a large number (n = 73) of metabolites and their percentage of abundance in the present study cohort. Mass spectrometry further validates and confirms the presence of all these 73 metabolites using same filtered serum. This study reveals seven new metabolites (citrulline, inosine, taurine, trimethyl amine, methylmalonate, uracil, methanol) in filtered serum using 1D/2D NMR spectroscopy that were not observed in earlier available literature using protein precipitation approach. This novel method delineates volatile metabolites, nitrogenous bases and nucleosides that may provide a milestone for the identification of inborn error of metabolism, pathogenicity at molecular level, disease identification and prognosis, and forensic studies using minimal volume of filtered serum samples and NMR spectroscopy.
KW - Filtered serum
KW - Mass spectrometer
KW - Metabolic profiling
KW - Metabolomics
KW - NMR spectroscopy
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U2 - 10.1016/j.jpba.2018.01.015
DO - 10.1016/j.jpba.2018.01.015
M3 - Article
C2 - 29413985
AN - SCOPUS:85041465045
SN - 0731-7085
VL - 151
SP - 356
EP - 364
JO - Journal of Pharmaceutical and Biomedical Analysis
JF - Journal of Pharmaceutical and Biomedical Analysis
ER -