循环代谢生物标志物预测发生性败血症:英国生物银行的一项大规模人口研究
Hao Bai1,2,3, Yihui Li4, Miaomiao Fan2,5
1Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Nutrition journal
|August 15, 2025
概括
这项研究发现,血中的90种代谢生物标志物与败血症风险有关. 将这些生物标志物添加到现有模型中,可以显著提高败血症预测的准确性.
科学领域:
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
- 流行病学 流行病学
背景情况:
- 有限的大规模研究存在于预败血症代谢形状.
- 了解败血症前代谢变化对于早期检测至关重要.
研究的目的:
- 评估循环的核磁共振 (NMR) 代谢生物标志物与发生性败血症风险之间的关联.
- 评估这些代谢物对败血症发展的预测能力.
主要方法:
- 利用英国生物库的血代谢数据 (n=106,533) 通过NMR进行分析.
- 使用多变量调整的考克斯比例危险模型来评估生物标志物协会.
- 开发并验证了使用 LASSO 和逐步考克斯回归的培训和测试集的败血症风险预测模型.
主要成果:
- 确定了90种与败血症风险显著相关的循环代谢生物标志物 (FDR P <0.05).
- 脂类子类,糖解,体,肌氨酸和氨酸显示出积极的关联;其他,包括白蛋白和氨酸,显示出负面的关联.
- 结合NMR代谢生物标志物的预测模型显示,与单独使用常规风险因素 (C指数0.733) 相比,其准确性提高了 (C指数0.741),具有显著的NRI和IDI.
结论:
- 多个血代谢生物标志物与发生性败血症风险有关.
- 将这些已识别的生物标志物纳入常规模型可以提高败血症预测的准确性.
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