Predicting biological age based on the BBMRI-NL 1H-NMR metabolomics repository
Erik Ben van den Akker,
J.J.H. Barkey Wolf,
F W Asselbergs,
Mihai G. Netea,
L.M. ‘t Hart,
A.M.J.M. van den Maagdenberg,
P van der Harst,
I.C.C. van der Horst,
C.J.H. van der Kallen,
M.M.J. van Greevenbroek,
W.E. van Spil,
C.M. van Duijn,
Dorret I Boomsma,
P. Eline Slagboom
Posted 10 May 2019
bioRxiv DOI: 10.1101/632919
Posted 10 May 2019
The blood metabolome incorporates cues from the environment as well as the host's genetic background, potentially offering a holistic view of an individual's 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 individual's biological age. Exploration in independent cohorts demonstrates that being judged older by one's metabolome, as compared to 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. 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.
- Downloaded 377 times
- Download rankings, all-time:
- Site-wide: 35,327 out of 76,820
- In epidemiology: 545 out of 1,556
- Year to date:
- Site-wide: 13,459 out of 76,820
- Since beginning of last month:
- Site-wide: 11,903 out of 76,820
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!