Predicting biological age based on the BBMRI-NL 1H-NMR metabolomics repository

van den Akker, E. B.; Trompet, S.; Barkey Wolf, J. J.; Beekman, M. B.; Suchiman, H. E.; Deelen, J.; Asselbergs, F. W.; NL, B.; 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.; Netea, M. G.; Penninx, B. W.; Slofstra, M.; Stehouwer, C. D.; Swertz, M. A.; Teunissen, C. E.; Terwindt, G. M.; 't Hart, L. M.; van den Maagdenberg, A. M.; Harst, P. v. d.; van der Horst, I. C.; van der Kallen, C. J.; van Greevenbroek, M. M.; van Spil, W. E.; Wijmenga, C.; Zhernakova, A.; Zwinderman, A. H.; Sattar, N.; Juke

doi:10.1101/632919

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bioRxiv · 10.1101/632919

Predicting biological age based on the BBMRI-NL 1H-NMR metabolomics repository

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Abstract

The blood metabolome incorporates cues from the environment as well as the hosts genetic background, potentially offering a holistic view of an individuals health status. We have compiled a vast resource of 1H-NMR metabolomics and phenotypic data encompassing over 25,000 samples derived from 26 community and hospital-based cohorts. Using this resource, we constructed a metabolomics-based age predictor (metaboAge) to calculate an individuals biological age. Exploration in independent cohorts demonstrates that being judged older by ones metabolome, as compared to ones 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. 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 cardio-metabolic health.

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van den Akker, E. B., Trompet, S., Barkey Wolf, J. J., Beekman, M. B., Suchiman, H. E., Deelen, J., Asselbergs, F. W., NL, B., 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., Netea, M. G., Penninx, B. W., Slofstra, M., Stehouwer, C. D., Swertz, M. A., Teunissen, C. E., Terwindt, G. M., 't Hart, L. M., van den Maagdenberg, A. M., Harst, P. v. d., van der Horst, I. C., van der Kallen, C. J., van Greevenbroek, M. M., van Spil, W. E., Wijmenga, C., Zhernakova, A., Zwinderman, A. H., Sattar, N., Juke. 2019-05-10. Predicting biological age based on the BBMRI-NL 1H-NMR metabolomics repository. https://doi.org/10.1101/632919

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