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Targeted Metabolomics for Biomarker Discovery
Author(s) -
Griffiths William J.,
Koal Therese,
Wang Yuqin,
Kohl Matthias,
Enot David P.,
Deigner HansPeter
Publication year - 2010
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.200905579
Subject(s) - metabolomics , biomarker discovery , biomarker , identification (biology) , computational biology , computer science , data science , proteomics , bioinformatics , biology , biochemistry , botany , gene
Metabolomics 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.