血浆蛋白质组图谱可预测健康成年人未来的痴呆症。

IF 19.4 Q1 CELL BIOLOGY
Yu Guo, Jia You, Yi Zhang, Wei-Shi Liu, Yu-Yuan Huang, Ya-Ru Zhang, Wei Zhang, Qiang Dong, Jian-Feng Feng, Wei Cheng, Jin-Tai Yu
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引用次数: 0

摘要

蛋白质组学的出现为预测痴呆症的发病提供了前所未有的机会。我们对英国生物库中 52,645 名未患痴呆症的成年人的数据进行了研究,其中有 1,417 例发病病例,随访时间长达 14.1 年。在 1,463 种血浆蛋白中,GFAP、NEFL、GDF15 和 LTBP2 始终与全因痴呆症(ACD)、阿尔茨海默病(AD)和血管性痴呆症(VaD)的发病密切相关,并且在蛋白重要性排序中名列前茅。将 GFAP(或 GDF15)与人口统计学相结合,可对 ACD(曲线下面积 (AUC) = 0.891)和 AD(AUC = 0.872)(或 VaD(AUC = 0.912))做出理想的预测。在预测 10 年以上 ACD、AD 和 VaD 时也是如此。GFAP水平较高的人患痴呆症的可能性要高出2.32倍。值得注意的是,GFAP 和 LTBP2 对痴呆症的预测具有高度特异性。GFAP 和 NEFL 至少在痴呆诊断前 10 年就开始发生变化。我们的研究结果有力地证明了 GFAP 是预测痴呆症的最佳生物标志物,甚至在痴呆症确诊前 10 多年就可以预测,这对筛查痴呆症高危人群和早期干预具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Plasma proteomic profiles predict future dementia in healthy adults

Plasma proteomic profiles predict future dementia in healthy adults

Plasma proteomic profiles predict future dementia in healthy adults
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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