Biological insights through nontargeted metabolomics. (August 2015)

• Record Type: Journal Article
• Authors: Sévin, Daniel C; Kuehne, Andreas; Zamboni, Nicola; Sauer, Uwe
• Is Part Of: Current opinion in biotechnology. Volume 34(2015)
• Page Start: 1
• Page End: 8
• Publication Date: 2015-08
• Subjects: Biotechnology -- Periodicals; 660.6
• DOI: 10.1016/j.copbio.2014.10.001
• Languages: English
• ISSNs: 0958-1669

Abstract

Graphical abstract: Highlights: Nontargeted metabolomics is increasingly applied in diverse research areas. Hypothesis-driven targeted approaches frequently led to mechanistic insights. Nontargeted studies were often descriptive, but led to unexpected discoveries. Data interpretation remains a major challenge. Abstract : Metabolomics is increasingly employed to investigate metabolism and its reciprocal crosstalk with cellular signaling and regulation. In recent years, several nontargeted metabolomics methods providing substantial metabolome coverage have been developed. Here, we review and compare the contributions of traditional targeted and nontargeted metabolomics in advancing different research areas ranging from biotechnology to human health. Although some studies demonstrated the power of nontargeted profiling in generating unexpected and yet highly important insights, we found that most mechanistic links were still revealed by hypothesis-driven targeted methods. Novel computational approaches for formal interpretation of complex metabolic patterns and integration of complementary molecular layers are required to tap the full potential of nontargeted metabolomics for data-driven, discovery-oriented research and rapidly nucleating novel biological insights.