2019 Volume 4 Issue 1 Pages 31-40
Omics analyses are accelerating the research of disease markers for requiring early detection, early clinical treatment and prevention of disease in the next generation of health care. In particular, metabolome analysis is a promising approach in the research field because the metabolite concentrations of body fluids are considered as quantitative traits that can describe and define phenotypic characteristics of each individual, which are generated through interactions between genes and environmental influences.
We established a protocol of metabolome analysis by gas chromatography triple quadrupole mass spectrometry (GC-MS/MS) in a large-scale cohort study, and analyzed human plasma samples (1,028) obtained from our cohort study; Tohoku Medical Megabank Project for creating a reference; Japanese Multi Omics Reference Panel, jMorp.
In our protocol, samples were prepared in a 96-well plate using an automated liquid-handling system, and the GC-MS/MS system equipped with an automated derivatized system. All data were imported for peak picking software and normalized by a Quantbolome software, which was created by our laboratory, to compensate for intra- and inter-batch differences. Finally, the information of 169 metabolites detected in 1,028 human plasma samples were listed in jMorp. The protocol and normalization method should be useful for the discovery and development of disease biomarkers in a large-scale cohort study.