在人类怀孕中,纵向尿液代谢概况和妊娠年龄预测
Xiaotao Shen1,2,3, Songjie Chen1,4, Liang Liang1,5
1Genetics Department, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, California 94305, USA.
Briefings in bioinformatics
|February 16, 2025
概括
这项研究使用代谢学来探索怀孕期间母亲尿液的变化. 尿液代谢物可以准确预测妊娠年龄和分娩时间,为产前护理提供新的工具.
科学领域:
- 产科和妇科 产科和妇科
- 代谢学 代谢学 代谢学
- 孕产妇和胎儿医学 孕产妇和胎儿医学
背景情况:
- 怀孕显著改变母亲的新陈代谢,影响母亲和胎儿.
- 怀孕期间母亲尿液代谢组的纵向变化仍未得到充分探索.
- 了解这些变化对于孕产妇和胎儿的健康结果至关重要.
研究的目的:
- 为了研究整个怀孕期间母亲尿液的纵向代谢变化.
- 为了确定与妊娠进展相关的关键代谢物变化.
- 探索尿液代谢学在非侵入性怀孕评估中的潜力.
主要方法:
- 利用基于液体染色学和质谱学的非向代谢学.
- 分析了来自不同背景的36名妇女的346个母亲尿液样本.
- 采用机器学习来预测妊娠年龄和分娩时间的建模.
主要成果:
- 在母亲尿液中鉴定出葡萄糖皮质醇,脂质和氨基酸衍生物的显著变化.
- 开发了一种机器学习模型,通过尿液代谢物准确预测妊娠年龄.
- 证明了尿液代谢组能够预测到分娩的时间的能力.
结论:
- 孕妇尿液代谢学显示,怀孕期间有系统的尿路发生变化.
- 尿中代谢物分析提供了一种非侵入性方法,用于准确估计妊娠年龄.
- 从尿液代谢物预测分娩时间为产科护理和分娩规划提供了宝贵的工具.
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