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学科主题: 分析化学
题名: Metabolic biomarker discovery and confirmation by using metabonomics
作者: Xu GW(许国旺) ;  Chen J(陈静) ;  Zhao XJ(赵欣捷) ;  Yin PY(尹沛源) ;  Lu X(路鑫) ;  Kong HW(孔宏伟)
会议文集: Metabolomics 2011
会议名称: 7th International Conference of the Metabolomics Society
会议日期: 2011-6-27
出版日期: 2011
会议地点: 凯恩斯
通讯作者: 许国旺
出版者: 待补充
出版地: 待补充
合作性质: 分会特邀报告
部门归属: 1808
主办者: Metabolomics Society
摘要: Metabonomics is a part of systems biology, it has shown the great potential of finding biomarker group for disease diagnosis. Generally, NMR or chromatography-mass spectrometry is used to analyze as many metabolites with the molecular weights smaller than 1,000 daltons as possible. Multi-variable data analysis methods are used to classify different groups, and define the significantly changed metabolites to produce new biomarkers. Unfortunately, at this moment, many studies are only in the discovery stage, the confirmation with large scaled samples is very poor, leading to the over-use of the word ‘biomarker’. In this lecture we shall report a two-stage metabonomics method. In the discovery step the typical samples are selected to define the differential metabolites by using the non-target LC-MS metabolic profiling analysis. In the confirmation step, large amount of samples with different clinical backgrounds are investigated by using the target analysis based on MRM monitoring to test the usefulness of the above differential metabolites, further define the potential biomarkers. The liver cancer and ovarian cancer will be taken as the examples to show our method. It will be seen the confirmation is a very necessary step, the poor specificity is a main disadvantage for the metabolic markers in the discovery stage, many differential metabolites are found to be influenced by different life styles or other diseases.
英文摘要: Metabonomics is a part of systems biology, it has shown the great potential of finding biomarker group for disease diagnosis. Generally, NMR or chromatography-mass spectrometry is used to analyze as many metabolites with the molecular weights smaller than 1,000 daltons as possible. Multi-variable data analysis methods are used to classify different groups, and define the significantly changed metabolites to produce new biomarkers. Unfortunately, at this moment, many studies are only in the discovery stage, the confirmation with large scaled samples is very poor, leading to the over-use of the word ‘biomarker’. In this lecture we shall report a two-stage metabonomics method. In the discovery step the typical samples are selected to define the differential metabolites by using the non-target LC-MS metabolic profiling analysis. In the confirmation step, large amount of samples with different clinical backgrounds are investigated by using the target analysis based on MRM monitoring to test the usefulness of the above differential metabolites, further define the potential biomarkers. The liver cancer and ovarian cancer will be taken as the examples to show our method. It will be seen the confirmation is a very necessary step, the poor specificity is a main disadvantage for the metabolic markers in the discovery stage, many differential metabolites are found to be influenced by different life styles or other diseases.
内容类型: 会议论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/116052
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,Chen J,Zhao XJ,et al. Metabolic biomarker discovery and confirmation by using metabonomics[C]. 见:7th International Conference of the Metabolomics Society. 凯恩斯. 2011-6-27.
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