| Title: | Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics |
| Journal: | Nature Communications |
| Published: | 10 Jun 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38858361/ |
| DOI: | https://doi.org/10.1038/s41467-024-49283-0 |
| URL: | https://www.nature.com/articles/s41467-024-49283-0.pdf |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 11885
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
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.</p>
12 Keywords
- Adult
- Aged
- Aging
- Air Pollution
- Brain
- Environmental Exposure
- Female
- Humans
- Male
- Middle Aged
- Particulate Matter
- United Kingdom
14 Authors
- 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
1 Application
| Application ID | Title |
|---|---|
| 61856 | The role of biological aging in the effect of genetic and environmental factors on health outcomes |
Enabling scientific discoveries that improve human health