在一项随机干预研究中发现了基维果摄入的尿路生物标志物
Zilin Xiao1, Wanning Shang1, Peiyu Li1
1Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
Nutrition journal
|November 4, 2025
概括
研究人员确定了用于跟踪果消费的关键尿路生物标志物. 一个先进的模型准确地预测了几天内果的摄入量,有助于营养研究.
科学领域:
- 营养代谢的营养代谢学
- 饮食评估 饮食评估
- 生物标志物发现发现
背景情况:
- 准确评估饮食摄入量,特别是对于诸如果等富含营养的食物,对于公共卫生研究至关重要.
- 目前用于量化基维果消费的方法缺乏可靠性和客观性.
- 开发客观生物标志物对于了解人口层面的饮食模式至关重要.
研究的目的:
- 为了确定新的尿路生物标志物,表明果的消费.
- 开发一个预测模型来评估最近的果摄入量.
- 为了在短时间内区分果消费者和非消费者.
主要方法:
- 一个随机的,受控的交叉饮食干预,涉及17名健康志愿者.
- 使用超高性能液态染色体质谱法 (UHPLC-MS) 对尿样进行非向的代谢学分析.
- 对代谢物动态概况的统计分析和用于生物标志物面板开发的机器学习.
主要成果:
- 在23种确定的尿路代谢物中,有15种与果消费有关.
- 观察到代谢物分泌模式,例如2-异基酸的延迟峰值.
- 使用7种代谢物的XGBoost模型在48小时内预测基维果摄入量时达到88%的准确性.
结论:
- 已经确定了果摄入的潜在尿路生物标志物.
- 一个预测模型在区分果消费者方面显示出前景.
- 需要进一步验证,以确认这些发现的临床实用性和通用性.
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