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Cardiometabolic disease

Biological aging as a predictor of cardiometabolic multimorbidity

Nature Cardiovascular Research volume 3, pages 256–257 (2024)Cite this article

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Recent analyses of observational data from 340,000 UK Biobank participants indicate that people with a higher biological age than their same-aged peers have an increased risk of developing cardiometabolic diseases. By contrast, the ability of accelerated biological aging to predict multimorbidity progression is relatively limited.

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Fig. 1: Biological aging and the development of cardiometabolic multimorbidity.

References

  1. Visseren, F. L. J. et al. Eur. Heart J. 42, 3227–3337 (2021).

    Article  PubMed  Google Scholar 

  2. Academy of Medical Sciences. Multimorbidity: a Priority for Global Health Research (2018).

  3. Emerging Risk Factors Collaboration. JAMA 314, 52–60 (2015).

    Article  Google Scholar 

  4. Jiang, M. et al. Nat. Cardiovasc. Res. https://doi.org/10.1038/s44161-024-00438-8 (2024).

    Article  Google Scholar 

  5. Kivimäki, M. et al. Lancet Public Health 2, e277–e285 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lopez-Otin, C. et al. Cell 186, 243–278 (2023).

    Article  CAS  PubMed  Google Scholar 

  7. Fraser, H. C. et al. Aging Cell 21, e13524 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Singh-Manoux, A. et al. PLoS Med. 15, e1002571 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rutledge, J., Oh, H. & Wyss-Coray, T. Nat. Rev. Genet. 23, 715–727 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Williams, S. A. et al. Nat. Med. 25, 1851–1857 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Oh, H. S. et al. Nature 624, 164–172 (2023).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Brain Sciences, University College London, London, UK

    Mika Kivimäki

  2. Department of Genetics, Evolution and Environment, University College London, London, UK

    Linda Partridge

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  1. Mika Kivimäki
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  2. Linda Partridge
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Correspondence to Mika Kivimäki.

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The authors declare no competing interests.

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Kivimäki, M., Partridge, L. Biological aging as a predictor of cardiometabolic multimorbidity. Nat Cardiovasc Res 3, 256–257 (2024). https://doi.org/10.1038/s44161-024-00444-w

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