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Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics

Author

Listed:
  • Fan Pu

    (Zhejiang University School of Medicine)

  • Weiran Chen

    (Zhejiang University School of Medicine)

  • Chenxi Li

    (Zhejiang University School of Medicine)

  • Jingqiao Fu

    (Zhejiang University)

  • Weijing Gao

    (Zhejiang University School of Medicine)

  • Chao Ma

    (Southeast University)

  • Xingqi Cao

    (Zhejiang University School of Medicine)

  • Lingzhi Zhang

    (Zhejiang University School of Medicine)

  • Meng Hao

    (Fudan University)

  • Jin Zhou

    (China Medical University)

  • Rong Huang

    (China Medical University)

  • Yanan Ma

    (China Medical University)

  • Kejia Hu

    (Zhejiang University School of Medicine)

  • Zuyun Liu

    (Zhejiang University School of Medicine)

Abstract

Complicated associations between multiplexed environmental factors and aging are poorly understood. We manipulated aging using multidimensional metrics such as phenotypic age, brain age, and brain volumes in the UK Biobank. Weighted quantile sum regression was used to examine the relative individual contributions of multiplexed environmental factors to aging, and self-organizing maps (SOMs) were used to examine joint effects. Air pollution presented a relatively large contribution in most cases. We also found fair heterogeneities in which the same environmental factor contributed inconsistently to different aging metrics. Particulate matter contributed the most to variance in aging, while noise and green space showed considerable contribution to brain volumes. SOM identified five subpopulations with distinct environmental exposure patterns and the air pollution subpopulation had the worst aging status. This study reveals the heterogeneous associations of multiplexed environmental factors with multidimensional aging metrics and serves as a proof of concept when analyzing multifactors and multiple outcomes.

Suggested Citation

  • Fan Pu & Weiran Chen & Chenxi Li & Jingqiao Fu & Weijing Gao & Chao Ma & Xingqi Cao & Lingzhi Zhang & Meng Hao & Jin Zhou & Rong Huang & Yanan Ma & Kejia Hu & Zuyun Liu, 2024. "Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49283-0
    DOI: 10.1038/s41467-024-49283-0
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    References listed on IDEAS

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    2. Zuyun Liu & Xi Chen & Thomas M Gill & Chao Ma & Eileen M Crimmins & Morgan E Levine, 2019. "Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study," PLOS Medicine, Public Library of Science, vol. 16(6), pages 1-22, June.
    3. Zuyun Liu & Pei-Lun Kuo & Steve Horvath & Eileen Crimmins & Luigi Ferrucci & Morgan Levine, 2018. "A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study," PLOS Medicine, Public Library of Science, vol. 15(12), pages 1-20, December.
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