Epigenetic scores of blood-based proteins as biomarkers of general cognitive function and brain health.

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-03-25 DOI:10.1186/s13148-024-01661-7
Hannah M Smith, Joanna E Moodie, Karla Monterrubio-Gómez, Danni A Gadd, Robert F Hillary, Aleksandra D Chybowska, Daniel L McCartney, Archie Campbell, Paul Redmond, Danielle Page, Adele Taylor, Janie Corley, Sarah E Harris, Maria Valdés Hernández, Susana Muñoz Maniega, Mark E Bastin, Joanna M Wardlaw, Ian J Deary, James P Boardman, Donncha S Mullin, Tom C Russ, Simon R Cox, Riccardo E Marioni
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Abstract

Background: Epigenetic Scores (EpiScores) for blood protein levels have been associated with disease outcomes and measures of brain health, highlighting their potential usefulness as clinical biomarkers. They are typically derived via penalised regression, whereby a linear weighted sum of DNA methylation (DNAm) levels at CpG sites are predictive of protein levels. Here, we examine 84 previously published protein EpiScores as possible biomarkers of cross-sectional and longitudinal measures of general cognitive function and brain health, and incident dementia across three independent cohorts.

Results: Using 84 protein EpiScores as candidate biomarkers, associations with general cognitive function (both cross-sectionally and longitudinally) were tested in three independent cohorts: Generation Scotland (GS), and the Lothian Birth Cohorts of 1921 and 1936 (LBC1921 and LBC1936, respectively). A meta-analysis of general cognitive functioning results in all three cohorts identified 18 EpiScore associations (absolute meta-analytic standardised estimates ranged from 0.03 to 0.14, median of 0.04, PFDR < 0.05). Several associations were also observed between EpiScores and global brain volumetric measures in the LBC1936. An EpiScore for the S100A9 protein (a known Alzheimer disease biomarker) was associated with general cognitive functioning (meta-analytic standardised beta: - 0.06, P = 1.3 × 10-9), and with time-to-dementia in GS (Hazard ratio 1.24, 95% confidence interval 1.08-1.44, P = 0.003), but not in LBC1936 (Hazard ratio 1.11, P = 0.32).

Conclusions: EpiScores might make a contribution to the risk profile of poor general cognitive function and global brain health, and risk of dementia, however these scores require replication in further studies.

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作为一般认知功能和大脑健康生物标志物的血液蛋白质表观遗传评分。
背景:血液蛋白质水平的表观遗传评分(EpiScores)与疾病预后和大脑健康状况相关联,凸显了其作为临床生物标志物的潜在作用。表观遗传评分通常是通过惩罚性回归得出的,CpG位点的DNA甲基化(DNAm)水平的线性加权和可预测蛋白质水平。在此,我们研究了之前发表的 84 个蛋白质 EpiScores,将其作为三个独立队列中一般认知功能和大脑健康的横断面和纵向测量指标以及痴呆症事件的可能生物标志物:使用 84 个蛋白质 EpiScores 作为候选生物标志物,在三个独立队列中测试了与一般认知功能的关联(横向和纵向):苏格兰一代(GS)以及 1921 年和 1936 年洛锡安出生队列(分别为 LBC1921 和 LBC1936)。对所有三个队列的一般认知功能结果进行荟萃分析,发现了 18 项 EpiScore 关联(荟萃分析标准化估计值的绝对值从 0.03 到 0.14 不等,中位数为 0.04,PFDR 为 -9),在 GS 中与痴呆时间有关(危险比为 1.24,95% 置信区间为 1.08-1.44,P = 0.003),但在 LBC1936 中与痴呆时间无关(危险比为 1.11,P = 0.32):EpiScores可能会对一般认知功能和大脑整体健康状况不佳的风险概况以及痴呆症的风险做出贡献,但这些分数需要在进一步的研究中加以验证。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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