Title: | Plasma proteomic profiles predict future dementia in healthy adults |
Journal: | Nature Aging |
Published: | 12 Feb 2024 |
Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38347190/ |
DOI: | https://doi.org/10.1038/s43587-023-00565-0 |
Title: | Plasma proteomic profiles predict future dementia in healthy adults |
Journal: | Nature Aging |
Published: | 12 Feb 2024 |
Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38347190/ |
DOI: | https://doi.org/10.1038/s43587-023-00565-0 |
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.
The advent of proteomics offers an unprecedented opportunity to predict dementia onset. We examined this in data from 52,645 adults without dementia in the UK Biobank, with 1,417 incident cases and a follow-up time of 14.1 years. Of 1,463 plasma proteins, GFAP, NEFL, GDF15 and LTBP2 consistently associated most with incident all-cause dementia (ACD), Alzheimer's disease (AD) and vascular dementia (VaD), and ranked high in protein importance ordering. Combining GFAP (or GDF15) with demographics produced desirable predictions for ACD (area under the curve (AUC) = 0.891) and AD (AUC = 0.872) (or VaD (AUC = 0.912)). This was also true when predicting over 10-year ACD, AD and VaD. Individuals with higher GFAP levels were 2.32 times more likely to develop dementia. Notably, GFAP and LTBP2 were highly specific for dementia prediction. GFAP and NEFL began to change at least 10 years before dementia diagnosis. Our findings strongly highlight GFAP as an optimal biomarker for dementia prediction, even more than 10 years before the diagnosis, with implications for screening people at high risk for dementia and for early intervention.</p>
Application ID | Title |
---|---|
19542 | Identifying multi-level biomarkers and disease mechanisms for major mental disorders |
Enabling scientific discoveries that improve human health