Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease
<p><strong>BACKGROUND:</strong> 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.</p> <p><strong>METHODS:</strong> We have compiled...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Heart Association
2020
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| _version_ | 1826306218517331968 |
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| author | van den Akker, EB Trompet, S Barkey Wolf, JJH Beekman, M Suchiman, HED Deelen, J Asselbergs, FW Boersma, E Cats, D Elders, PM Geleijnse, JM Ikram, MA Kloppenburg, M Mei, H Meulenbelt, I Mooijaart, SP Nelissen, RGHH Netea, MG Penninx, BWJH Slofstra, M Stehouwer, CDA Swertz, MA Teunissen, CE Terwindt, GM 't Hart, LM van den Maagdenberg, AMJM van der Harst, P van der Horst, ICC van der Kallen, CJH van Greevenbroek, MMJ van Spil, WE Wijmenga, C Zhernakova, A Zwinderman, AH Sattar, N Jukema, JW Boomsma, DI van Duijn, CM Reinders, MJT Slagboom, PE |
| author_facet | van den Akker, EB Trompet, S Barkey Wolf, JJH Beekman, M Suchiman, HED Deelen, J Asselbergs, FW Boersma, E Cats, D Elders, PM Geleijnse, JM Ikram, MA Kloppenburg, M Mei, H Meulenbelt, I Mooijaart, SP Nelissen, RGHH Netea, MG Penninx, BWJH Slofstra, M Stehouwer, CDA Swertz, MA Teunissen, CE Terwindt, GM 't Hart, LM van den Maagdenberg, AMJM van der Harst, P van der Horst, ICC van der Kallen, CJH van Greevenbroek, MMJ van Spil, WE Wijmenga, C Zhernakova, A Zwinderman, AH Sattar, N Jukema, JW Boomsma, DI van Duijn, CM Reinders, MJT Slagboom, PE |
| author_sort | van den Akker, EB |
| collection | OXFORD |
| description | <p><strong>BACKGROUND:</strong> 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.</p>
<p><strong>METHODS:</strong> 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.</p>
<p.<strong>RESULTS:</strong> 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.</p>
<p><strong>CONCLUSIONS:</strong> 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.</p> |
| first_indexed | 2024-03-07T06:44:36Z |
| format | Journal article |
| id | oxford-uuid:fa70afc1-1547-4a40-8aad-32c1990b1119 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:44:36Z |
| publishDate | 2020 |
| publisher | American Heart Association |
| record_format | dspace |
| spelling | oxford-uuid:fa70afc1-1547-4a40-8aad-32c1990b11192022-03-27T13:05:58ZMetabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related diseaseJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fa70afc1-1547-4a40-8aad-32c1990b1119EnglishSymplectic ElementsAmerican Heart Association2020van den Akker, EBTrompet, SBarkey Wolf, JJHBeekman, MSuchiman, HEDDeelen, JAsselbergs, FWBoersma, ECats, DElders, PMGeleijnse, JMIkram, MAKloppenburg, MMei, HMeulenbelt, IMooijaart, SPNelissen, RGHHNetea, MGPenninx, BWJHSlofstra, MStehouwer, CDASwertz, MATeunissen, CETerwindt, GM't Hart, LMvan den Maagdenberg, AMJMvan der Harst, Pvan der Horst, ICCvan der Kallen, CJHvan Greevenbroek, MMJvan Spil, WEWijmenga, CZhernakova, AZwinderman, AHSattar, NJukema, JWBoomsma, DIvan Duijn, CMReinders, MJTSlagboom, PE<p><strong>BACKGROUND:</strong> 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.</p> <p><strong>METHODS:</strong> 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.</p> <p.<strong>RESULTS:</strong> 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.</p> <p><strong>CONCLUSIONS:</strong> 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.</p> |
| spellingShingle | van den Akker, EB Trompet, S Barkey Wolf, JJH Beekman, M Suchiman, HED Deelen, J Asselbergs, FW Boersma, E Cats, D Elders, PM Geleijnse, JM Ikram, MA Kloppenburg, M Mei, H Meulenbelt, I Mooijaart, SP Nelissen, RGHH Netea, MG Penninx, BWJH Slofstra, M Stehouwer, CDA Swertz, MA Teunissen, CE Terwindt, GM 't Hart, LM van den Maagdenberg, AMJM van der Harst, P van der Horst, ICC van der Kallen, CJH van Greevenbroek, MMJ van Spil, WE Wijmenga, C Zhernakova, A Zwinderman, AH Sattar, N Jukema, JW Boomsma, DI van Duijn, CM Reinders, MJT Slagboom, PE Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title | Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title_full | Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title_fullStr | Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title_full_unstemmed | Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title_short | Metabolic age based on the BBMRI-NL 1H-NMR metabolomics repository as biomarker of age-related disease |
| title_sort | metabolic age based on the bbmri nl 1h nmr metabolomics repository as biomarker of age related disease |
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