| Title: | Plasma proteomics identify biomarkers and undulating changes of brain aging |
| Journal: | Nature Aging |
| Published: | 9 Dec 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39653801/ |
| DOI: | https://doi.org/10.1038/s43587-024-00753-6 |
Publication 14230
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Abstract
Proteomics enables the characterization of brain aging biomarkers and discernment of changes during brain aging. We leveraged multimodal brain imaging data from 10,949 healthy adults to estimate brain age gap (BAG), an indicator of brain aging. Proteome-wide association analysis across 4,696 participants of 2,922 proteins identified 13 significantly associated with BAG, implicating stress, regeneration and inflammation. Brevican (BCAN) (β = −0.838, P = 2.63 × 10−10) and growth differentiation factor 15 (β = 0.825, P = 3.48 × 10−11) showed the most significant, and multiple, associations with dementia, stroke and movement functions. Dysregulation of BCAN affected multiple cortical and subcortical structures. Mendelian randomization supported the causal association between BCAN and BAG. We revealed undulating changes in the plasma proteome across brain aging, and profiled brain age-related change peaks at 57, 70 and 78 years, implicating distinct biological pathways during brain aging. Our findings revealed the plasma proteomic landscape of brain aging and pinpointed biomarkers for brain disorders.</p>
8 Authors
- Wei-Shi Liu
- Jia You
- Shi-Dong Chen
- Yi Zhang
- Jian-Feng Feng
- Yu-Ming Xu
- Jin-Tai Yu
- Wei Cheng
1 Application
| Application ID | Title |
|---|---|
| 19542 | Identifying multi-level biomarkers and disease mechanisms for major mental disorders |
Enabling scientific discoveries that improve human health