Metabolomics is on the precipice of transforming from a research tool into a powerful clinical platform to improve precision medicine. However, metabolomics methods need to be validated in clinical research to enable rapid translation of research results into clinical tests.
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References
Kim, E. R. et al. Urine-NMR metabolomics for screening of advanced colorectal adenoma and early stage colorectal cancer. Sci. Rep. 9, 1–10 (2019).
Yang, K. et al. Metabolomics approach for predicting response to neoadjuvant chemotherapy for colorectal cancer. Metabolomics 14, 1–9 (2018).
Di Donato, S. et al. A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting. Cancers 13, 2762 (2021).
Parksepp, M. et al. Metabolomics approach revealed robust changes in amino acid and biogenic amine signatures in patients with schizophrenia in the early course of the disease. Sci. Rep. 10, 1–11 (2020).
Cui, G. et al. Salivary metabolomics reveals that metabolic alterations precede the onset of schizophrenia. J. Proteome Res. 20, 5010–5023 (2021).
Yachida, S. et al. Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer. Nat. Med. 25, 968–976 (2019).
Lokhov, P. G., Trifonova, O. P., Maslov, D. L., Lichtenberg, S. & Balashova, E. E. Diagnosis of Parkinson’s disease by a metabolomics-based laboratory-developed test (LDT). Diagnostics 10, 332 (2020).
Liu, N. et al. Comparison of untargeted metabolomic profiling vs traditional metabolic screening to identify inborn errors of metabolism. JAMA Netw. Open 4, e2114155 (2021).
Fernández-Ochoa, A. L. et al. Metabolic disturbances in urinary and plasma samples from seven different systemic autoimmune diseases detected by HPLC-ESI-QTOF-MS. J. Proteome Res. 19, 3220–3229 (2020).
Buergel, T. et al. Metabolomic profiles predict individual multidisease outcomes. Nat. Med. 28, 2309–2320 (2022).
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The author thanks BMBF, DLR and DFG for funding, and I. Wilson and N. Bliziotis for useful feedback on the manuscript and figure.
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J.K. undertakes paid consultancy work for Centogene GmBH: the rare disease company.
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Kirwan, J.A. Translating metabolomics into clinical practice. Nat Rev Bioeng (2023). https://doi.org/10.1038/s44222-023-00023-x
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DOI: https://doi.org/10.1038/s44222-023-00023-x
