DICP OpenIR
Subject Area分析化学
Metabolic biomarker discovery and confirmation by using metabonomics
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)
Source PublicationMetabolomics 2011
Conference Name7th International Conference of the Metabolomics Society
Conference Date2011-6-27
2011
Conference Place凯恩斯
Pages1-0
Publisher待补充
Publication Place待补充
Cooperation Status分会特邀报告
Department1808
Funding OrganizationMetabolomics Society
AbstractMetabonomics 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.; 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.
Document Type会议论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/116052
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,Chen J,Zhao XJ,et al. Metabolic biomarker discovery and confirmation by using metabonomics[C]. 待补充:待补充,2011:1-0.
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