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英国生物库中主要发病疾病和死亡率的血液蛋白评估。

Blood protein assessment of leading incident diseases and mortality in the UK Biobank.

机构信息

Optima Partners, Edinburgh, UK.

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

出版信息

Nat Aging. 2024 Jul;4(7):939-948. doi: 10.1038/s43587-024-00655-7. Epub 2024 Jul 10.

Abstract

The circulating proteome offers insights into the biological pathways that underlie disease. Here, we test relationships between 1,468 Olink protein levels and the incidence of 23 age-related diseases and mortality in the UK Biobank (n = 47,600). We report 3,209 associations between 963 protein levels and 21 incident outcomes. Next, protein-based scores (ProteinScores) are developed using penalized Cox regression. When applied to test sets, six ProteinScores improve the area under the curve estimates for the 10-year onset of incident outcomes beyond age, sex and a comprehensive set of 24 lifestyle factors, clinically relevant biomarkers and physical measures. Furthermore, the ProteinScore for type 2 diabetes outperforms a polygenic risk score and HbA1c-a clinical marker used to monitor and diagnose type 2 diabetes. The performance of scores using metabolomic and proteomic features is also compared. These data characterize early proteomic contributions to major age-related diseases, demonstrating the value of the plasma proteome for risk stratification.

摘要

循环蛋白质组提供了对疾病潜在生物学途径的深入了解。在这里,我们检验了 UK Biobank(n = 47600)中 1468 种 Olink 蛋白质水平与 23 种与年龄相关疾病的发病率和死亡率之间的关系。我们报告了 963 种蛋白质水平与 21 种发病结果之间的 3209 种关联。接下来,使用惩罚性 Cox 回归开发基于蛋白质的评分(ProteinScores)。在测试集中应用时,六个 ProteinScores 在年龄、性别和一套全面的 24 种生活方式因素、临床相关生物标志物和身体测量值之外,提高了 10 年发病结果的曲线下面积估计值。此外,用于 2 型糖尿病的 ProteinScore 优于多基因风险评分和 HbA1c-一种用于监测和诊断 2 型糖尿病的临床标志物。还比较了使用代谢组学和蛋白质组学特征的评分的性能。这些数据描述了主要与年龄相关疾病的早期蛋白质组学贡献,证明了血浆蛋白质组在风险分层方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8b/11257969/32057eb7955c/43587_2024_655_Fig1_HTML.jpg

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