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怀孕期间宫微生物组的动态变化预测早产风险:一个前性队列研究

Honglian Ma¹, Kaiyue Hu¹, Youxin Wang¹

¹Department of Obstetrics,Ezhou Central Hospital,Ezhou City,Hubei Province,436000,China.

African journal of reproductive health

|March 3, 2026

概括

怀孕时微生物组的变化和IL-6的升高预测了早产风险. 一个使用Lactobacillus iners/L.L.的预测模型. 克里斯帕图斯比率和炎症标志物显示出早期干预的高准确性.

科学领域:

生殖生物学生殖生物学
微生物组研究微生物组研究
孕产妇和胎儿医学孕产妇和胎儿医学

背景情况:

过早分娩仍然是新生儿发病率和死亡率的主要原因.
了解怀孕期间宫微生物组的动态变化对于识别风险因素至关重要.
炎症标志物也可能在怀孕结果中发挥作用.

研究的目的:

在怀孕期间调查子宫微生物组的动态变化.
使用微生物组和炎症标志物开发预测早产风险模型.
评估预测模型在识别高风险怀孕中的准确性.

主要方法:

对93名单独怀孕妇女 (41名早产,52名终产) 的前性队列研究.
在四个妊娠阶段收集的宫分泌物用于16S rRNA测序.
针对炎症标志物 (例如IL-6) 的ELISA测试.
后勤回归分析以确定独立的风险因素.

主要成果:

过早分娩组的微生物多样性较低,乳杆菌内/乳杆菌脆型比率增加.
在早产组中观察到妊娠早期的高interleukin-6 (IL-6) 水平.
整合微生物组和IL-6的预测模型实现了高准确性 (AUC 0.847),特别是预测34周前的出生 (AUC 0.892).

结论:

宫微生物组组成和炎症标志物是早产风险的重要预测因素.
开发的模型为早期识别高风险早产的怀孕提供了一个有前途的工具.
这些发现支持基于微生物组和炎症概况的早期临床干预的潜力.

关键词:

宫微生物组是什么动态变化是变化的动态.过早出生过早出生预期的队列研究.风险预测风险预测

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