使用高分辨率的尿道代谢学概况预测早产或非常早产的风险
Yaqi Zhang1,2, Karl G Sylvester2, Ronald J Wong3
1College of Automation, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
BMC pregnancy and childbirth
|November 26, 2024
概括
在怀孕早期预测早产 (PTB) 风险至关重要. 孕产妇尿道代谢概况准确地确定了早期和非常早期的PTB,使得及时干预可以改善孕产妇和婴儿的结果.
科学领域:
- 生物化学 生物化学
- 基因组学就是基因组学.
- 孕产妇和胎儿的医学
背景情况:
- 在全球范围内,早产 (PTB) 是导致婴儿死亡的主要原因.
- 早期预测PTB风险对于及时干预和个性化护理至关重要.
- 目前的预测方法在准确性和早期检测方面存在局限性.
研究的目的:
- 预测早产 (<35周) 或非常早产 (≤26周) 的风险.
- 在怀孕早期利用高分辨率的孕产妇尿道代谢概况来预测风险.
- 开发和验证PTB的预测模型.
主要方法:
- 追溯队列研究,从怀孕8-24周进行序列尿样采集.
- 使用高分辨率质谱测量进行全球代谢学分析.
- XGBoost模型使用12个已识别的代谢物生物标志物进行风险预测.
主要成果:
- 从7913个特征中确定了12个关键代谢物,用于PTB预测.
- 早期的PTB预测模型实现了高准确性 (AUROC 0.995开发,0.964验证).
- 非常早期的PTB预测模型显示出有希望的结果 (AUROC 0.950开发,0.830验证).
结论:
- 在怀孕早期的代谢分析可以预测PTB风险.
- 开发的模型显示了识别高风险怀孕的潜力.
- 进一步验证可能会导致改善临床护理和对PTB的洞察力.
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