Metabolic Age Based on the BBMRI-NL

Aging / genetics Biomarkers / metabolism Cardiovascular Diseases / genetics Humans Metabolomics / methods Netherlands Proportional Hazards Models Proton Magnetic Resonance Spectroscopy Risk Factors User-Computer Interface
aging cardiovascular disease data science metabolomics

Journal

Circulation. Genomic and precision medicine
ISSN: 2574-8300
Titre abrégé: Circ Genom Precis Med
Pays: United States
ID NLM: 101714113

Informations de publication

Date de publication:
10 2020
Historique:
entrez: 20 10 2020
pubmed: 21 10 2020
medline: 28 10 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

DOI: 10.1161/CIRCGEN.119.002610 PMID: 33079603
pubmed: 33079603
doi: 10.1161/CIRCGEN.119.002610
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

541-547

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL076200
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA042157
Pays : United States
Organisme : NIMH NIH HHS
ID : RC2 MH089951
Pays : United States

Auteurs

Erik B van den Akker (EB)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Department of Biomedical Data Sciences, Leiden Computational Biology Center (E.B.v.d.A., M.J.T.R.), Leiden University Medical Center, the Netherlands.
Department of Pattern Recognition and Bioinformatics, Delft University of Technology, the Netherlands (E.B.v.d.A., M.J.T.R.).

Stella Trompet (S)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Department of Internal Medicine, Division of Gerontology and Geriatrics (S.T., S.P.M.), Leiden University Medical Center, the Netherlands.

Jurriaan J H Barkey Wolf (JJH)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).

Marian Beekman (M)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).

H Eka D Suchiman (HED)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).

Joris Deelen (J)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Max Planck Institute for Biology of Ageing, Cologne, Germany (J.D., P.E.S.).

Folkert W Asselbergs (FW)

Department of Cardiology, Division of Heart and Lungs (F.W.A.), University Medical Center Utrecht, the Netherlands.
Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht (F.W.A.).
Faculty of Population Health Sciences, Institute of Cardiovascular Science (F.W.A.), Institute of Health Informatics, UCL, London, United Kingdom.
Farr Institute of Health Informatics Research (F.W.A.), Institute of Health Informatics, UCL, London, United Kingdom.

Eric Boersma (E)

Thorax Center (E.B.), Erasmus Medical Center, Rotterdam, the Netherlands.

Davy Cats (D)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).

Petra M Elders (PM)

Department of General Practice and Elderly Care Medicine (P.M.E.), VU University Medical Center, the Netherlands.
Amsterdam Public Health Research Institute (P.M.E., B.W.J.H.P., L.M.'t.H., D.I.B.), VU University Medical Center, the Netherlands.

J Marianne Geleijnse (JM)

Division of Human Nutrition and Health, Wageningen University, the Netherlands (J.M.G.).

M Arfan Ikram (MA)

Department of Epidemiology (M.A.I., C.M.v.D.), Erasmus Medical Center, Rotterdam, the Netherlands.
Department of Radiology (M.A.I.), Erasmus Medical Center, Rotterdam, the Netherlands.
Department of Neurology (M.A.I.), Erasmus Medical Center, Rotterdam, the Netherlands.

Margreet Kloppenburg (M)

Department of Rheumatology (M.K.), Leiden University Medical Center, the Netherlands.
Department of Clinical Epidemiology (M.K.), Leiden University Medical Center, the Netherlands.

Haillang Mei (H)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Department of Biomedical Data Sciences, Sequencing Analysis Support Core (H.M.), Leiden University Medical Center, the Netherlands.

Ingrid Meulenbelt (I)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).

Simon P Mooijaart (SP)

Department of Biomedical Data Sciences, Leiden Computational Biology Center (E.B.v.d.A., M.J.T.R.), Leiden University Medical Center, the Netherlands.

Rob G H H Nelissen (RGHH)

Department of Orthopaedics (R.G.H.H.N.), Leiden University Medical Center, the Netherlands.

Mihai G Netea (MG)

Department for Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Germany (M.G.N.).

Brenda W J H Penninx (BWJH)

Amsterdam Public Health Research Institute (P.M.E., B.W.J.H.P., L.M.'t.H., D.I.B.), VU University Medical Center, the Netherlands.
Department of Psychiatry (B.W.J.H.P.), VU University Medical Center, the Netherlands.

Mariska Slofstra (M)

Department of Genetics, University of Groningen, the Netherlands (M.S., M.A.S., C.W., A.Z.).

Coen D A Stehouwer (CDA)

Department of Internal Medicine, Maastricht University Medical Center, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).
School for Cardiovascular Diseases (Cardiovascular Research Institute Maastricht [CARIM]), Maastricht University, Maastricht, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).

Morris A Swertz (MA)

Department of Genetics, University of Groningen, the Netherlands (M.S., M.A.S., C.W., A.Z.).

Charlotte E Teunissen (CE)

Neurochemistry Laboratory, Clinical Chemistry Department (C.E.T.), Amsterdam University Medical Center, the Netherlands.

Gisela M Terwindt (GM)

Department of Neurology (G.M.T.), Leiden University Medical Center, the Netherlands.

Leen M 't Hart (LM)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Department of Cell and Chemical Biology (L.M.'t.H.), Leiden University Medical Center, the Netherlands.
Amsterdam Public Health Research Institute (P.M.E., B.W.J.H.P., L.M.'t.H., D.I.B.), VU University Medical Center, the Netherlands.
Department of Epidemiology and Biostatistics (L.M.'t.H.), Amsterdam University Medical Center, the Netherlands.
Department of General Practice (L.M.'t.H.), Amsterdam University Medical Center, the Netherlands.

Arn M J M van den Maagdenberg (AMJM)

Department of Human Genetics (A.M.J.M.v.d.M.), Leiden University Medical Center, the Netherlands.

Pim van der Harst (P)

Department of Cardiology (P.v.d.H.), University Medical Center Groningen, the Netherlands.

Iwan C C van der Horst (ICC)

Department of Critical Care (I.C.C.v.d.H.), University Medical Center Groningen, the Netherlands.

Carla J H van der Kallen (CJH)

Department of Internal Medicine, Maastricht University Medical Center, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).
School for Cardiovascular Diseases (Cardiovascular Research Institute Maastricht [CARIM]), Maastricht University, Maastricht, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).

Marleen M J van Greevenbroek (MMJ)

Department of Internal Medicine, Maastricht University Medical Center, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).
School for Cardiovascular Diseases (Cardiovascular Research Institute Maastricht [CARIM]), Maastricht University, Maastricht, the Netherlands (C.D.A.S., C.J.H.v.d.K., M.M.J.v.G.).

W Erwin van Spil (WE)

Department of Rheumatology and Clinical Immunology (W.E.v.S.), University Medical Center Utrecht, the Netherlands.

Cisca Wijmenga (C)

Department of Genetics, University of Groningen, the Netherlands (M.S., M.A.S., C.W., A.Z.).

Alexandra Zhernakova (A)

Department of Genetics, University of Groningen, the Netherlands (M.S., M.A.S., C.W., A.Z.).

Aeilko H Zwinderman (AH)

Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, the Netherlands (A.H.Z.).

Naveed Sattar (N)

Institute of Cardiovascular and Medical Sciences, Cardiovascular Research Center, University of Glasgow, United Kingdom (N.S.).

J Wouter Jukema (JW)

Department of Cardiology (S.T., J.W.J.), Leiden University Medical Center, the Netherlands.

Cornelia M van Duijn (CM)

Department of Epidemiology (M.A.I., C.M.v.D.), Erasmus Medical Center, Rotterdam, the Netherlands.

Dorret I Boomsma (DI)

Department of Cardiology (S.T., J.W.J.), Leiden University Medical Center, the Netherlands.
Netherlands Twin Register, Department of Biological Psychology, Vrije University, Amsterdam (D.I.B.).

Marcel J T Reinders (MJT)

Department of Biomedical Data Sciences, Leiden Computational Biology Center (E.B.v.d.A., M.J.T.R.), Leiden University Medical Center, the Netherlands.
Department of Pattern Recognition and Bioinformatics, Delft University of Technology, the Netherlands (E.B.v.d.A., M.J.T.R.).

P Eline Slagboom (PE)

Department of Molecular Epidemiology (E.B.v.d.A., J.J.H.B.W., M.B., H.E.D.S., J.D., D.C., H.M., I.M., L.M.'t.H., P.E.S.).
Max Planck Institute for Biology of Ageing, Cologne, Germany (J.D., P.E.S.).

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Phénomènes physiologiques › Croissance et développement › Vieillissement › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Maladies cardiovasculaires › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Disciplines des sciences naturelles › Chimie › Biochimie › Métabolomique › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Régions géographiques › Europe › Pays-Bas › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de survie › Modèles des risques proportionnels › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie par résonance magnétique › Spectroscopie par résonance magnétique du proton › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Metabolic Age Based on the BBMRI-NL
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Logiciel › Interface utilisateur › Metabolic Age Based on the BBMRI-NL