PROTEOMIC BRAIN AGE GAP, DEMENTIA RISK, AND BRAIN VOLUME MEASUREMENTS
2024
Proteomic Brain Age Gap and Dementia Risk
Sample size: 45113
publication
Evidence: high
Author Information
Author(s): Kou Minghao, Ma Hao, Wang Xuan, Qi Lu
Primary Institution: Tulane University
Hypothesis
The study investigates the relationship between brain-specific aging signatures and the risk of dementia.
Conclusion
The proteomic brain age gap is a significant indicator of brain degeneration and dementia risk, regardless of chronological age.
Supporting Evidence
- The brain age gap showed a strong correlation with chronological age (Spearman r = 0.84).
- A per-unit increment in the brain age gap z-score was linked to significantly higher risks of all-cause dementia and Alzheimer's disease.
- 2.1% of participants showed extreme brain aging, correlating with over 4-fold increased risks of dementia.
Takeaway
This study found that how old your brain looks based on certain proteins can help predict your risk of getting dementia.
Methodology
The study analyzed proteomics data from UK Biobank participants and used machine learning to estimate brain age gaps.
Participant Demographics
Participants were from the UK Biobank.
Statistical Information
Confidence Interval
1.69-1.96
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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