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羊膜液蛋白质组预测无症状短宫颈妇女即将发生早产。

The amniotic fluid proteome predicts imminent preterm delivery in asymptomatic women with a short cervix.

机构信息

Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services Bethesda, MD, Detroit, MI, USA.

Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA.

出版信息

Sci Rep. 2022 Jul 11;12(1):11781. doi: 10.1038/s41598-022-15392-3.

Abstract

Preterm birth, the leading cause of perinatal morbidity and mortality, is associated with increased risk of short- and long-term adverse outcomes. For women identified as at risk for preterm birth attributable to a sonographic short cervix, the determination of imminent delivery is crucial for patient management. The current study aimed to identify amniotic fluid (AF) proteins that could predict imminent delivery in asymptomatic patients with a short cervix. This retrospective cohort study included women enrolled between May 2002 and September 2015 who were diagnosed with a sonographic short cervix (< 25 mm) at 16-32 weeks of gestation. Amniocenteses were performed to exclude intra-amniotic infection; none of the women included had clinical signs of infection or labor at the time of amniocentesis. An aptamer-based multiplex platform was used to profile 1310 AF proteins, and the differential protein abundance between women who delivered within two weeks from amniocentesis, and those who did not, was determined. The analysis included adjustment for quantitative cervical length and control of the false-positive rate at 10%. The area under the receiver operating characteristic curve was calculated to determine whether protein abundance in combination with cervical length improved the prediction of imminent preterm delivery as compared to cervical length alone. Of the 1,310 proteins profiled in AF, 17 were differentially abundant in women destined to deliver within two weeks of amniocentesis independently of the cervical length (adjusted p-value < 0.10). The decreased abundance of SNAP25 and the increased abundance of GPI, PTPN11, OLR1, ENO1, GAPDH, CHI3L1, RETN, CSF3, LCN2, CXCL1, CXCL8, PGLYRP1, LDHB, IL6, MMP8, and PRTN3 were associated with an increased risk of imminent delivery (odds ratio > 1.5 for each). The sensitivity at a 10% false-positive rate for the prediction of imminent delivery by a quantitative cervical length alone was 38%, yet it increased to 79% when combined with the abundance of four AF proteins (CXCL8, SNAP25, PTPN11, and MMP8). Neutrophil-mediated immunity, neutrophil activation, granulocyte activation, myeloid leukocyte activation, and myeloid leukocyte-mediated immunity were biological processes impacted by protein dysregulation in women destined to deliver within two weeks of diagnosis. The combination of AF protein abundance and quantitative cervical length improves prediction of the timing of delivery compared to cervical length alone, among women with a sonographic short cervix.

摘要

早产是围产期发病率和死亡率的主要原因,与短期和长期不良结局的风险增加有关。对于因超声检查宫颈短而被认为有早产风险的女性,确定即将分娩对于患者管理至关重要。本研究旨在确定羊水中的蛋白质是否可以预测无症状宫颈短的患者即将分娩。本回顾性队列研究纳入了 2002 年 5 月至 2015 年 9 月期间在 16-32 周妊娠时被诊断为超声检查宫颈短(<25mm)的女性。进行羊膜穿刺术以排除宫内感染;在进行羊膜穿刺术时,所有纳入的女性均无感染的临床症状或临产迹象。使用基于适体的多重平台对 1310 种 AF 蛋白进行分析,并确定了在羊膜穿刺术后两周内分娩的女性与未分娩的女性之间的差异蛋白丰度。该分析包括对定量宫颈长度进行调整,并将假阳性率控制在 10%。计算受试者工作特征曲线下的面积,以确定与单独使用宫颈长度相比,蛋白质丰度与宫颈长度相结合是否可以改善对即将发生的早产的预测。在分析的 1310 种 AF 蛋白中,有 17 种蛋白的丰度在独立于宫颈长度的情况下,在两周内分娩的女性中存在差异(调整后的 p 值<0.10)。SNAP25 含量减少,GPI、PTPN11、OLR1、ENO1、GAPDH、CHI3L1、RETN、CSF3、LCN2、CXCL1、CXCL8、PGLYRP1、LDHB、IL6、MMP8 和 PRTN3 的含量增加与即将发生的分娩风险增加相关(每种蛋白的比值比>1.5)。单独使用定量宫颈长度预测即将发生的分娩的假阳性率为 10%时,其灵敏度为 38%,但当与四种 AF 蛋白(CXCL8、SNAP25、PTPN11 和 MMP8)的丰度结合时,灵敏度增加到 79%。在两周内分娩的女性中,中性粒细胞介导的免疫、中性粒细胞激活、粒细胞激活、髓样白细胞激活和髓样白细胞介导的免疫是受蛋白质失调影响的生物学过程。AF 蛋白丰度与定量宫颈长度的结合可改善超声检查宫颈短的女性分娩时间的预测,优于单独使用宫颈长度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8b/9276779/64272cb6ae9b/41598_2022_15392_Fig1_HTML.jpg

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