Metabolic Age Based on the BBMRI-NL 1H-NMR Metabolomics Repository as Biomarker of Age-related Disease
Publication date
2020-10
Authors
van den Akker, Erik B
Trompet, Stella
Barkey Wolf, Jurriaan J H
Beekman, Marian
Suchiman, H Eka D
Deelen, Joris
Asselbergs, Folkert W
Boersma, Eric
Cats, Davy
Elders, Petra M
Editors
Advisors
Supervisors
Document Type
Article
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License
taverne
Abstract
BACKGROUND: The blood metabolome incorporates cues from the environment and the host's genetic background, potentially offering a holistic view of an individual's health status. METHODS: We have compiled a vast resource of proton nuclear magnetic resonance metabolomics and phenotypic data encompassing over 25 000 samples derived from 26 community and hospital-based cohorts. RESULTS: Using this resource, we constructed a metabolomics-based age predictor (metaboAge) to calculate an individual's biological age. Exploration in independent cohorts demonstrates that being judged older by one's metabolome, as compared with one's chronological age, confers an increased risk on future cardiovascular disease, mortality, and functionality in older individuals. A web-based tool for calculating metaboAge (metaboage.researchlumc.nl) allows easy incorporation in other epidemiological studies. Access to data can be requested at bbmri.nl/samples-images-data. CONCLUSIONS: In summary, we present a vast resource of metabolomics data and illustrate its merit by constructing a metabolomics-based score for biological age that captures aspects of current and future cardiometabolic health.
Keywords
Aging, Cardiovascular disease, Data science, Metabolomics, Taverne, Genetics, Cardiology and Cardiovascular Medicine, Genetics(clinical)
Citation
van den Akker, E B, Trompet, S, Barkey Wolf, J J H, Beekman, M, Suchiman, H E D, Deelen, J, Asselbergs, F W, Boersma, E, Cats, D, Elders, P M, Geleijnse, J M, Ikram, M A, Kloppenburg, M, Mei, H, Meulenbelt, I, Mooijaart, S P, Nelissen, R G H H, Netea, M G, Penninx, B W J H, Slofstra, M, Stehouwer, C D A, Swertz, M A, Teunissen, C E, Terwindt, G M, 't Hart, L M, van den Maagdenberg, A M J M, van der Harst, P, van der Horst, I C C, van der Kallen, C J H, van Greevenbroek, M M J, van Spil, W E, Wijmenga, C, Zhernakova, A, Zwinderman, A H, Sattar, N, Jukema, J W, van Duijn, C M, Boomsma, D I, Reinders, M J T & Slagboom, P E 2020, 'Metabolic Age Based on the BBMRI-NL 1H-NMR Metabolomics Repository as Biomarker of Age-related Disease', Circulation. Genomic and precision medicine, vol. 13, no. 5, pp. 541-547. https://doi.org/10.1161/CIRCGEN.119.002610