Metabolic Age Based on the BBMRI-NL 1H-NMR Metabolomics Repository as Biomarker of Age-related Disease,Circulation: Genomic and Precision Medicine

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Metabolic Age Based on the BBMRI-NL 1H-NMR Metabolomics Repository as Biomarker of Age-related Disease
Circulation: Genomic and Precision Medicine ( IF 7.4 ) Pub Date : 2020-08-14 , DOI: 10.1161/circgen.119.002610
Erik B van den Akker _{1,

2,

3} , Stella Trompet _{1,

4} , Jurriaan J H Barkey Wolf ₁ , Marian Beekman ₁ , H Eka D Suchiman ₁ , Joris Deelen _{1,

5} , Folkert W Asselbergs _{6,

7,

8,

9} , Eric Boersma ₁₀ , Davy Cats ₁ , Petra M Elders _{11,

12} , J Marianne Geleijnse ₁₃ , M Arfan Ikram _{14,

15,

16} , Margreet Kloppenburg _{17,

18} , Haillang Mei _{1,

19} , Ingrid Meulenbelt ₁ , Simon P Mooijaart ₂ , Rob G H H Nelissen ₂₀ , Mihai G Netea ₂₁ , Brenda W J H Penninx _{12,

22} , Mariska Slofstra ₂₃ , Coen D A Stehouwer _{24,

25} , Morris A Swertz ₂₃ , Charlotte E Teunissen ₂₆ , Gisela M Terwindt ₂₇ , Leen M 't Hart _{1,

12,

28,

29,

30} , Arn M J M van den Maagdenberg ₃₁ , Pim van der Harst ₃₂ , Iwan C C van der Horst ₃₃ , Carla J H van der Kallen _{24,

25} , Marleen M J van Greevenbroek _{24,

25} , W Erwin van Spil ₃₄ , Cisca Wijmenga ₂₃ , Alexandra Zhernakova ₂₃ , Aeilko H Zwinderman ₃₅ , Naveed Sattar ₃₆ , J Wouter Jukema ₃₇ , Cornelia M van Duijn ₁₄ , Dorret I Boomsma _{37,

38} , Marcel J T Reinders _{2,

3} , P Eline Slagboom _{1,

5}

Affiliation

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.).
Department of Internal Medicine, Division of Gerontology and Geriatrics (S.T., S.P.M.), Leiden University Medical Center, the Netherlands.
Max Planck Institute for Biology of Ageing, Cologne, Germany (J.D., P.E.S.).
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.
Thorax Center (E.B.), Erasmus Medical Center, Rotterdam, the Netherlands.
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.
Division of Human Nutrition and Health, Wageningen University, the Netherlands (J.M.G.).
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.
Department of Rheumatology (M.K.), Leiden University Medical Center, the Netherlands.
Department of Clinical Epidemiology (M.K.), Leiden University Medical Center, the Netherlands.
Department of Biomedical Data Sciences, Sequencing Analysis Support Core (H.M.), Leiden University Medical Center, the Netherlands.
Department of Orthopaedics (R.G.H.H.N.), Leiden University Medical Center, the Netherlands.
Department for Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Germany (M.G.N.).
Department of Psychiatry (B.W.J.H.P.), VU University Medical Center, the Netherlands.
Department of Genetics, University of Groningen, the Netherlands (M.S., M.A.S., C.W., A.Z.).
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.).
Neurochemistry Laboratory, Clinical Chemistry Department (C.E.T.), Amsterdam University Medical Center, the Netherlands.
Department of Neurology (G.M.T.), Leiden University Medical Center, the Netherlands.
Department of Cell and Chemical Biology (L.M.'t.H.), Leiden 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.
Department of Human Genetics (A.M.J.M.v.d.M.), Leiden University Medical Center, the Netherlands.
Department of Cardiology (P.v.d.H.), University Medical Center Groningen, the Netherlands.
Department of Critical Care (I.C.C.v.d.H.), University Medical Center Groningen, the Netherlands.
Department of Rheumatology and Clinical Immunology (W.E.v.S.), University Medical Center Utrecht, the Netherlands.
Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, the Netherlands (A.H.Z.).
Institute of Cardiovascular and Medical Sciences, Cardiovascular Research Center, University of Glasgow, United Kingdom (N.S.).
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.).

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.

中文翻译：

基于 BBMRI-NL 1H-NMR 代谢组学资料库的代谢年龄作为年龄相关疾病的生物标志物

背景：血液代谢组结合了来自环境和宿主遗传背景的线索，可能提供个人健康状况的整体视图。方法：我们汇编了大量质子核磁共振代谢组学和表型数据，包括来自来自 26 个基于社区和医院的队列。结果：使用该资源，我们构建了一个基于代谢组学的年龄预测器 (metaboAge) 来计算个人的生物学年龄。独立队列的探索表明，与实际年龄相比，根据一个人的代谢组判断年龄较大，会增加老年人未来发生心血管疾病、死亡率和功能的风险。用于计算 metaboAge 的基于网络的工具 (metaboage.researchlumc. nl) 允许轻松纳入其他流行病学研究。可以在 bbmri.nl/samples-images-data 上请求访问数据。未来的心脏代谢健康。

更新日期：2020-10-20

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