Thore Buergel, Jakob Steinfeldt, Greg Ruyoga, Maik Pietzner, Daniele Bizzarri, Dina Vojinovic, Julius Upmeier Zu Belzen, Lukas Loock, Paul Kittner, Lara Christmann, Noah Hollmann, Henrik Strangalies, Jana M Braunger, Benjamin Wild, Scott T Chiesa, Joachim Spranger, Fabian Klostermann, Erik B van den Akker, Stella Trompet, Simon P Mooijaart, Naveed Sattar, J Wouter Jukema, Birgit Lavrijssen, Maryam Kavousi, Mohsen Ghanbari, Mohammad A Ikram, Eline Slagboom, Mika Kivimaki, Claudia Langenberg, John Deanfield, Roland Eils, Ulf Landmesser
Risk stratification is critical for the early identification of high-risk individuals and disease prevention. Here we explored the potential of nuclear magnetic resonance (NMR) spectroscopy-derived metabolomic profiles to inform on multidisease risk beyond conventional clinical predictors for the onset of 24 common conditions, including metabolic, vascular, respiratory, musculoskeletal and neurological diseases and cancers. Specifically, we trained a neural network to learn disease-specific metabolomic states from 168 circulating metabolic markers measured in 117,981 participants with ~1...
November 2022: Nature Medicine