Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics

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 () and Zuyun Liu ()
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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

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-49283-0

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