| Literature DB >> 31192319 |
Md Aminul Islam Prodhan1, Biyun Shi2, Ming Song3, Liqing He1, Fang Yuan1, Xinmin Yin2, Patrick Bohman4, Craig J McClain5, Xiang Zhang6.
Abstract
The diverse characteristics and large number of entities make metabolite separation challenging in metabolomics. To date, there is not a singular instrument capable of analyzing all types of metabolites. In order to achieve a better separation for higher peak capacity and accurate metabolite identification and quantification, we integrated GC × GC-MS and parallel 2DLC-MS for analysis of polar metabolites. To test the performance of the developed system, 13 rats were fed different diets to form two animal groups. Polar metabolites extracted from rat livers were analyzed by GC × GC-MS, parallel 2DLC-MS (-) and parallel 2DLC-MS (+), respectively. By integrating all data together, 58 metabolites were detected with significant change in their abundance levels between groups (p≤ 0.05). Of the 58 metabolites, three metabolites were detected in two platforms and two in all three platforms. Manual examination showed that discrepancy of metabolite regulation measured by different platforms was mainly caused by the poor shape of chromatographic peaks resulting from low instrument response. Pathway analysis demonstrated that integrating the results from multiple platforms increased the confidence of metabolic pathway assignment.Entities:
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Year: 2019 PMID: 31192319 PMCID: PMC6677244 DOI: 10.1039/c9an00560a
Source DB: PubMed Journal: Analyst ISSN: 0003-2654 Impact factor: 4.616