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学科主题: 分析化学
题名: LC-MS based metabolomics for disease biomarker discovery and confirmation
作者: 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)
会议文集: 36th International Symposium on High Performance Liquid Phase Separations and Related Techniques
会议名称: 36th International Symposium on High Performance Liquid Phase Separations and Related Techniques
会议日期: 2011-6-19
出版日期: 2011
会议地点: 布达佩斯
通讯作者: 许国旺
出版者: 待补充
出版地: 待补充
合作性质: 特邀报告
部门归属: 1808
主办者: Hungarian Society for Separation Sciences
摘要: 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.
英文摘要: 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.
内容类型: 会议论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/116053
Appears in Collections:中国科学院大连化学物理研究所_会议论文

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Recommended Citation:
Xu GW,Zhao XJ,Yin PY,et al. LC-MS based metabolomics for disease biomarker discovery and confirmation[C]. 见:36th International Symposium on High Performance Liquid Phase Separations and Related Techniques. 布达佩斯. 2011-6-19.
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