Early identification of at-risk people is critical in disease prevention, but current screening approaches are resource intensive and are often restricted to one disease at a time. We show how nuclear magnetic resonance (NMR) spectroscopy–derived metabolomics profiles can be used to predict multi-disease risk for the onset of 24 common conditions.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 /Â 30Â days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
References
Deelen, J. et al. A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals. Nat. Commun. 10, 3346 (2019). A landmark study linking NMR metabolomics profiles to mortality risk.
Pietzner, M. et al. Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat. Med. 27, 471–479 (2021). An important article that presents the broad metabolic basis across the human disease landscape.
Würtz, P. et al. Quantitative serum nuclear magnetic resonance metabolomics in large-scale epidemiology: a primer on -omic technologies. Am. J. Epidemiol. 186, 1084–1096 (2017). A comprehensive review of the potential utility of broad biomarker platforms.
Sudlow, C. et al. UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015). A detailed description of the UK Biobank resource.
Fry, A. et al. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am. J. Epidemiol. 186, 1026–1034 (2017). An important study on differences between the UK Biobank and the UK general population.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Buergel, T. et al. Metabolomic profiles predict individual multidisease outcomes. Nat. Med. https://doi.org/10.1038/s41591-022-01980-3 (2022).
Rights and permissions
About this article
Cite this article
Simultaneous prediction of risk for multiple common diseases using metabolomics. Nat Med 28, 2265–2266 (2022). https://doi.org/10.1038/s41591-022-01992-z
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41591-022-01992-z