在34个怀孕周之前,根据与炎症相关的血蛋白质的组合,对自发早产的早期预测
Maria Svenvik1,2, Johanna Raffetseder2, Lars Brudin3,4
1Department of Obstetrics and Gynecology, Region Kalmar County, Kalmar, Sweden.
Frontiers in immunology
|July 30, 2024
概括
在34周之前预测自发早产 (sPTB) 是可能的,使用第二个三个月的血蛋白质概况. 这种方法可能有助于识别高风险怀孕的早期干预.
科学领域:
- 产科和妇科 产科和妇科
- 生物标志物发现发现
- 蛋白质组学是指蛋白质组学.
背景情况:
- 过早分娩 (PTB) 需要新的预测模型来及时干预.
- 在怀孕34周 (gw) 之前早期识别有自发性PTB (sPTB) 风险的妇女对于预防性治疗至关重要.
- 这项研究研究了在低风险人群中早期预测sPTB的血蛋白质概况.
研究的目的:
- 确定高灵敏性血蛋白分析是否可以预测34个妊娠周 (gw) 之前的自发早产 (sPTB).
- 在怀孕的第一和第二个三个月探索sPTB的潜在生物标志物.
- 开发和评估sPTB的预测模型.
主要方法:
- 一项病例控制研究涉及46名患有sPTB的妇女 (<34个月) 和46名正常期分娩的妇女.
- 血样本采集前性在11千克 (范围7-16) 和25千克 (范围23-30).
- 使用高灵敏度近距离延伸试验和多变量逻辑回归分析了177种与炎症相关的蛋白质.
主要成果:
- 第一季度:肝细胞生长因子 (HGF) 的升高与sPTB <34 gw (OR 1.49) 相关.
- 第二个三个月:增加的互白素-10 (IL-10),IL-6和RANK与sPTB<34 gw相关 (OR分别为2.15,2.59,2.18).
- 预测模型的AUC:0.653 (第一季度),0.854 (第二季度).
结论:
- 第二个三个月的血蛋白组合有效地预测了34个月前的sPTB.
- 这种蛋白质分析可以补充对sPTB的临床风险评估.
- 尽管进行了广泛的蛋白质分析,但对sPTB的第一季度预测仍然具有挑战性.
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