将临床化学与代谢学结合起来,以在人口层面上进行代谢表型化
Yun Xu1, Ian D Wilson2,3, Royston Goodacre4
1Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, BioSciences Building, Crown St, Liverpool, L69 7ZB, UK.
Metabolomics : Official journal of the Metabolomic Society
|August 29, 2025
概括
标准的临床化学测试可以预测年龄,性别和BMI类似于代谢学. 结合这两种方法可以提高预测的准确性,强调它们在生物标志物发现方面的潜力.
科学领域:
- 生物化学
- 临床化学
- 代谢学
背景情况:
- 代谢表型 (代谢类型) 可靠地区分生理状态.
- 标准的临床化学数据也具有补充元类型的潜力.
研究的目的:
- 评估临床化学数据是否可以预测健康个体的年龄,性别和BMI.
- 将这些预测与元类型化结果进行比较.
- 评估两种数据类型的联合预测能力.
主要方法:
- 分析了血清代谢量 (GC-MS,LC-MS) 和19个临床化学测量结果.
- 使用多变量统计分析 (SVM,随机森林,PLS).
- 模型预测性别,年龄和BMI使用临床化学数据,代谢学数据或组合,通过启动和排列测试进行验证.
主要成果:
- 仅临床化学数据就预测了性别 (肌素),年龄 (血压,蛋白质,葡萄糖) 和BMI (肝酶,脂质比,血压).
- 结合临床化学和代谢学数据,提高了这些特征的预测准确性.
- 这种结合方法可以对年龄和BMI进行定量预测.
结论:
- 临床化学数据实现了可比的年龄,性别和BMI预测.
- 基于临床化学数据的预测准确度在71- 85%之间.
- 结合临床化学和代谢学数据提高了准确度至77-93%,这表明一种有价值的生物标志物识别方法.
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