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Targeted Metabolomics for Biomarker Discovery

机译:用于生物标志物发现的靶向代谢组学

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摘要

M etabolomics is a truly interdisciplinary field of science, which combines analytical chemistry, platform technology, mass spectrometry, and NMR spectroscopy with sophisticated data analysis. Applied to biomarker discovery, it includes aspects of pathobiochemistry, systems biology/medicine, and molecular diagnostics and requires bioinformatics and multivariate statistics. While successfully established in the screening of inborn errors in neonates, metabolomics is now widely used in the characterization and diagnostic research of an ever increasing number of diseases. In this Review we highlight important technical prerequisites as well as recent developments in metabolomics and metabolomics data analysis with special emphasis on their utility in biomarker identification and qualification, as well as targeted metabolomics by employing high-throughput mass spectrometry.
机译:代谢组学是真正的跨学科科学领域,它将分析化学,平台技术,质谱和NMR光谱与复杂的数据分析相结合。它应用于生物标志物发现,包括病理生物化学,系统生物学/医学和分子诊断等方面,并需要生物信息学和多元统计数据。代谢组学虽然已成功建立了筛查新生儿先天性错误的方法,但现在已广泛用于越来越多的疾病的表征和诊断研究中。在本综述中,我们重点介绍了重要的技术先决条件以及代谢组学和代谢组学数据分析的最新发展,并特别强调了它们在生物标志物鉴定和鉴定中的作用,以及通过采用高通量质谱分析法进行靶向代谢组学的研究。

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