DICP OpenIR
Subject Area分析化学
LC-MS based metabolomics for disease biomarker discovery and confirmation
Xu GW(许国旺); Zhao XJ(赵欣捷); Yin PY(尹沛源); Huang Q(黄强); Zhou LN(周丽娜); Lu X(路鑫)
Source Publication36th International Symposium on High Performance Liquid Phase Separations and Related Techniques
Conference Name36th International Symposium on High Performance Liquid Phase Separations and Related Techniques
Conference Date2011-6-19
2011
Conference Place布达佩斯
Pages1-0
Publisher待补充
Publication Place待补充
Cooperation Status特邀报告
Department1808
Funding OrganizationHungarian Society for Separation Sciences
AbstractComplex diseases such as cancer, diabetes and obesity arise from an interaction of genetic and environmental factors. Their (early) diagnosis is very difficult, especially based on only singular biomarker. The move toward a biomarker group is a tendency, especially in the translational medicine applications. Metabolomics is a technique based on analyzing as many endogenetic metabolites as possible. It has shown a great potential in finding biomarker group. At this moment NMR and MS-based methods are used to analyze the metabolome, unfortunately, because of the complexity, until now no a single method can analyze the total metabolome. To resolve this problem, in our group an integrated platform has been developed, it mainly consists of one-dimensional and multi-dimensional GC-MS and LC-MS. RP-UHPLC and HILIC are online or off-line combined to separate hydrophilic and hydrophobic metabolites producing the complementary metabolite information. Applications of an ultra-high capacity small molecule chip (UHC-chip)-MS in the metabolomics are also explored. In the meantime, a comprehensive identification method of the metabolites was suggested. As the examples, we shall report our newest work on the metabolic biomarker discovery of ovarian cancer and prediabetes by using non-target metabolomics analysis to ‘fish’ the differential metabolites and target LC-MRM MS analysis to confirm the found biomarker group.; Complex diseases such as cancer, diabetes and obesity arise from an interaction of genetic and environmental factors. Their (early) diagnosis is very difficult, especially based on only singular biomarker. The move toward a biomarker group is a tendency, especially in the translational medicine applications. Metabolomics is a technique based on analyzing as many endogenetic metabolites as possible. It has shown a great potential in finding biomarker group. At this moment NMR and MS-based methods are used to analyze the metabolome, unfortunately, because of the complexity, until now no a single method can analyze the total metabolome. To resolve this problem, in our group an integrated platform has been developed, it mainly consists of one-dimensional and multi-dimensional GC-MS and LC-MS. RP-UHPLC and HILIC are online or off-line combined to separate hydrophilic and hydrophobic metabolites producing the complementary metabolite information. Applications of an ultra-high capacity small molecule chip (UHC-chip)-MS in the metabolomics are also explored. In the meantime, a comprehensive identification method of the metabolites was suggested. As the examples, we shall report our newest work on the metabolic biomarker discovery of ovarian cancer and prediabetes by using non-target metabolomics analysis to ‘fish’ the differential metabolites and target LC-MRM MS analysis to confirm the found biomarker group.
Document Type会议论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/116053
Collection中国科学院大连化学物理研究所
Corresponding AuthorXu GW(许国旺)
Recommended Citation
GB/T 7714
Xu GW,Zhao XJ,Yin PY,et al. LC-MS based metabolomics for disease biomarker discovery and confirmation[C]. 待补充:待补充,2011:1-0.
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