Identification of bioactive metabolites using activity metabolomics
Open accessAbstract
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.
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- Authors
- Rinschen, M. M., Ivanisevic, J., Giera, M., & Siuzdak, G.
- Affiliations
- Scripps Research Institute (US)
- Leiden University Medical Center (NL)
- Corresponding author
- Giera, Martin
- Siuzdak, Gary
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2019-02-27
- Volume
- 20
- Issue
- 6
- Pages
- 353-367
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- PMC
- PMC6613555
- OpenAlex
- W2916376502
- Semantic Scholar
- 9e1d8797e377d2a4b151f995d8e87ba7a50db0d8
- Cited by
- 1,008
- References
- 165
- Citations by year
- 2026: 71 · 2025: 160 · 2024: 179 · 2023: 211 · 2022: 190 · 2021: 95 · 2020: 77 · 2019: 23 · 2018: 1 · 2015: 1
- FWCI
- 8.72
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- National Institute of Mental Health (P30MH062261)
- National Institute on Drug Abuse (P01DA028555)
- National Cancer Institute (U01CA235493)
- National Institute of General Medical Sciences (R01GM114368, R35GM130385)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- bioactive metabolites, metabolomics, metabolome, multi-omics integration, disease mechanisms, biomarkers
- MeSH terms
- Animals, Humans, Biomarkers, Metabolomics, Metabolome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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