Metabolomic profiles predict individual multidisease outcomes
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · Franklin University · +14 more institutions
Abstract
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 ~1.4 million person-years of follow-up from the UK Biobank and validated the model in four independent cohorts. We found…
Citation impact
- FWCI
- 30.75
- Percentile
- 100%
- References
- 82
Authors
32- TBThore Buergel
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
- JSJakob Steinfeldt
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Franklin University
- GRGreg Ruyoga
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
- MPMaik Pietzner
University of Cambridge, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, MRC Epidemiology Unit
- DBDaniele Bizzarri
Leiden University Medical Center
Topics & keywords
- Metabolomics
- Medicine
- Biobank
- Disease
- Internal medicine
- Bioinformatics
- Biology
- Good health and well-being
Funding
- WWellcomeAward: 221854/Z/20/Z
- WTWellcome TrustAwards: 221854, 221854/Z/20/Z, R01AG056477
- UCUniversity College London
- ECEuropean CommissionAwards: FP7/2007-2011, FP7/2007, 259679, R024227, 221854
- ZZonMwAwards: 733051021, 184.021.007, 05040202, 050-060-810
- EUErasmus Universiteit Rotterdam
- BFBundesministerium für Bildung und ForschungAwards: 01ZZ1802Z, 01ZZ1802A - 01ZZ1802Z
- MVMinisterie van Volksgezondheid, Welzijn en Sport
- NONederlandse Organisatie voor Wetenschappelijk OnderzoekAwards: VENI: 09150161810095, 184.021.007, 050-060-810, 09150161810095, 05040202
- MDMinisterio de Economía y Competitividad
- ESEinstein Stiftung Berlin
- DPDementias Platform UK
- MRMedical Research CouncilAwards: MR/R024227, MR/S011676/1, R024227, MR/R024227/1, MR/R024227/1, R024227/1, MC_PC_17228, MR/T033371/1