Identification of bioactive metabolites using activity metabolomics

By Markus M. Rinschen, J. Ivanisevic, M. Giera, Gary Siuzdak. Nature reviews. Molecular cell biology, 2019

853 citations recorded by the source corpus.

The metabolome, the collection of small-molecule chemical entities involved in metabolism, has traditionally been studied with the aim of identifying biomarkers in the diagnosis and prediction of disease. However, the value of metabolome analysis (metabolomics) has been redefined from a simple biomarker identification tool to a technology for the discovery of active drivers of biological processes. It is now clear that the metabolome affects cellular physiology through modulation of other ‘omics’ levels, including the genome, epigenome, transcriptome and proteome. In this Review, we focus on recent progress in using metabolomics to understand how the metabolome influences other omics and, by extension, to reveal the active role of metabolites in physiology and disease. This concept of utilizing metabolomics to perform activity screens to identify biologically active metabolites — which we term activity metabolomics — is already having a broad impact on biology. Metabolites can actively regulate biological processes and may directly modulate phenotype. The current challenge of metabolomics is to provide a platform for the discovery of such bioactive metabolites and — in combination with other omics technologies — to determine their biological functions.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/9e1d8797e377d2a4b151f995d8e87ba7a50db0d8

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Citations in the corpus

• MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights (2021, background): “Over the past two decades, metabolomics has contributed significantly to our understanding of metabolism across a broad spectrum of physiological and pathophysiological conditions (1,2).”