痴呆
生命银行
生物标志物
血管性痴呆
人口统计学的
阿尔茨海默病
心理学
医学
肿瘤科
生物信息学
内科学
生物
疾病
遗传学
人口学
社会学
作者
Yu Guo,Jin-Tai Yu,Yi Zhang,Weishi Liu,Yu‐Yuan Huang,Yaru Zhang,Wei Zhang,Qiang Dong,Jianfeng Feng,Wei Cheng,Jin‐Tai Yu
出处
期刊:Nature Aging
日期:2024-02-12
被引量:5
标识
DOI:10.1038/s43587-023-00565-0
摘要
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. Large-scale proteomics data hold promise for individual disease risk prediction. Here the authors use data from more than 50,000 adults without dementia in the UK Biobank to predict the future risk of dementia and highlight GFAP as an important protein elevated in individuals more likely to develop dementia.
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