Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products

Covering: 1995 to 2023 Advances in bioanalytical methods, particularly mass spectrometry, have provided valuable molecular insights into the mechanisms of life. Non-targeted metabolomics aims to detect and (relatively) quantify all observable small molecules present in a biological system. By compar...

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Veröffentlicht in:Natural product reports 2024-06, Vol.41 (6), p.885-94
Hauptverfasser: Vitale, Giovanni Andrea, Geibel, Christian, Minda, Vidit, Wang, Mingxun, Aron, Allegra T, Petras, Daniel
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Sprache:eng
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Zusammenfassung:Covering: 1995 to 2023 Advances in bioanalytical methods, particularly mass spectrometry, have provided valuable molecular insights into the mechanisms of life. Non-targeted metabolomics aims to detect and (relatively) quantify all observable small molecules present in a biological system. By comparing small molecule abundances between different conditions or timepoints in a biological system, researchers can generate new hypotheses and begin to understand causes of observed phenotypes. Functional metabolomics aims to investigate the functional roles of metabolites at the scale of the metabolome. However, most functional metabolomics studies rely on indirect measurements and correlation analyses, which leads to ambiguity in the precise definition of functional metabolomics. In contrast, the field of natural products has a history of identifying the structures and bioactivities of primary and specialized metabolites. Here, we propose to expand and reframe functional metabolomics by integrating concepts from the fields of natural products and chemical biology. We highlight emerging functional metabolomics approaches that shift the focus from correlation to physical interactions, and we discuss how this allows researchers to uncover causal relationships between molecules and phenotypes. In this review we discuss emerging functional metabolomics strategies and their potential use to reveal mechanistic insights in large-scale natural product discovery studies.
ISSN:0265-0568
1460-4752
1460-4752
DOI:10.1039/d3np00050h