大规模蛋白质组学改善了2型糖尿病风险预测
Ruijie Xie1,2, Tomislav Vlaski1,2, Kira Trares1
1Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
Diabetes care
|April 3, 2025
概括
将蛋白质生物标志物添加到剑桥糖尿病风险评分 (CDRS) 显著改善了10年2型糖尿病风险预测. 一个15蛋白模型显示了最大的改善,一个6蛋白模型在外部成功验证.
科学领域:
- 生物标志物发现发现
- 蛋白质组学是指蛋白质组学.
- 流行病学 流行病学
背景情况:
- 2型糖尿病 (T2D) 构成了全球重大健康挑战.
- 准确的风险预测对于及时干预和预防策略至关重要.
- 现有的临床风险评分可能无法完全捕捉个人T2D易感性.
研究的目的:
- 评估蛋白质组生物标志物的10年T2D风险的预测附加值.
- 在与剑桥糖尿病风险评分 (CDRS) 集成时评估蛋白质组板的性能.
主要方法:
- 使用了来自英国生物库 (n=21,898) 的数据进行内部验证和ESTHER队列 (n=4,454) 进行外部验证.
- 雇佣了Olink Explore (2,085种蛋白质) 和Olink Target 96 炎症面板 (73种蛋白质) 用于蛋白质基因分析.
- 使用C指数和净重新分类改进评估的增量预测值.
主要成果:
- 在内部验证中,15种蛋白质的Olink Explore模型使CDRS C指数提高了0.029 (23.0%净重新分类).
- 六蛋白奥林克炎症面板模型在内部改善了CDRSC指数0.016 (29.0%净重新分类).
- 对6蛋白模型的外部验证显示,C指数的改善为0.014.
结论:
- 蛋白质组生物标志物显著提高T2D风险预测超出CDRS.
- 15蛋白Olink Explore模型显示了改善风险评估的最大潜力.
- 成功外部验证的6蛋白炎症面板模型为T2D风险分层提供了一个有希望的,有针对性的方法.
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