Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery.

Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery.
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DOI:
10.1371/journal.pone.0160555
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Yamamoto M
Yamamoto M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Saigusa D;Okamura Y;Motoike IN;Katoh Y;Kurosawa Y;Saijyo R;Koshiba S;Yasuda J;Motohashi H;Sugawara J;Tanabe O;Kinoshita K;Yamamoto M

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Metabolomics is a promising avenue for biomarker discovery. Although the quality of metabolomic analyses, especially global metabolomics (G-Met) using mass spectrometry (MS), largely depends on the instrumentation, potential bottlenecks still exist at several basic levels in the metabolomics workflow. Therefore, we established a precise protocol initially for the G-Met analyses of human blood plasma to overcome some these difficulties. In our protocol, samples are deproteinized in a 96-well plate using an automated liquid-handling system, and conducted either using a UHPLC-QTOF/MS system equipped with a reverse phase column or a LC-FTMS system equipped with a normal phase column. A normalization protocol of G-Met data was also developed to compensate for intra- and inter-batch differences, and the variations were significantly reduced along with our normalization, especially for the UHPLC-QTOF/MS data with a C18 reverse-phase column for positive ions. Secondly, we examined the changes in metabolomic profiles caused by the storage of EDTA-blood specimens to identify quality markers for the evaluation of the specimens’ pre-analytical conditions. Forty quality markers, including lysophospholipids, dipeptides, fatty acids, succinic acid, amino acids, glucose, and uric acid were identified by G-Met for the evaluation of plasma sample quality and established the equation of calculating the quality score. We applied our quality markers to a small-scale study to evaluate the quality of clinical samples. The G-Met protocols and quality markers established here should prove useful for the discovery and development of biomarkers for a wider range of diseases.
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