Predictive Screening for Inflammatory Disorders of Pregnancy Using Targeted Maternal Cell-Free RNA Assays: Proof-of-Principle Data from Large Animal and Human Cohorts.

IF 2.5 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Reproductive Sciences Pub Date : 2025-07-01 Epub Date: 2025-06-04 DOI:10.1007/s43032-025-01876-w
Sean W D Carter, Qin Wei, Winston Koh, Xiawen Liu, Kay Yi Michelle Seah, Si En Poh, Haruo Usuda, Erin L Fee, Yusaku Kumagai, Tsukasa Takahashi, Lara Monteiro, Reyna Peñailillo, Hannah R S Watson, Masatoshi Saito, Owen B Spiller, Mahesh A Choolani, Sebastián E Illanes, Matthew W Kemp
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引用次数: 0

Abstract

The management and prevention of key inflammatory-associated pregnancy complications such as chorioamnionitis and pre-eclampsia is hampered by a lack of early gestation risk screening tools. In a proof-of-principle study we used targeted cell-free RNA analyses of maternal plasma samples from large animal (sheep) and human pregnancy cohorts to develop a minimally invasive screening test for inflammatory markers. This study utilised a preterm sheep model of sterile and bacterial chorioamnionitis. Date-mated ewes received either intraamniotic Saline Control (n = 10) or E.Coli LPS (Sterile chorioamnionitis) with 2 days (n = 9) or 8 days exposure(n = 6). Preterm lambs were delivered at 124 ± 1d gestation. Findings were validated in a bacterial model of chorioamnionitis where ewes were exposed to 7 days of intraamniotic M.Hominis with delivery at 98 d gestion(n = 8) or 128d gestation(n = 8). Maternal blood was collected prior to intervention and at delivery in each group. Random Forest algorithm was used to analyse 8 cell-free RNA(cfRNA) targets related to inflammation in maternal plasma at baseline and delivery, identifying genes that separated animals with or without intrauterine inflammation. Plasma cfRNA data was compared to mRNA expression in placental tissue. Haematological and placental mRNA comparisons were analysed with ANOVA/Tukey HSD/Dunnett T3 tests. Maternal plasma cfRNA findings of intrauterine inflammation were then validated in human plasma samples from a cohort of patients with late onset pre-eclampsia (n = 10) or uncomplicated pregnancies (n = 10). We present data showing that targeted maternal cfRNA assays can accurately identify chorioamnionitis of sterile (AUC 1.0) and infectious (AUC 0.84) origin in a sheep model of pregnancy. Findings were then validated in human maternal plasma samples from patients with late-onset pre-eclampsia in the 1st (AUC = 0.85), 2nd (AUC = 0.90) and 3rd (AUC = 0.82) trimesters. In both sheep and human model systems, cfRNA tests offered high levels of sensitivity and specificity in the absence of overt clinical symptoms. We suggest that further development of this technology may serve as a scalable, rapidly deployed and cost-effective means for predicting major inflammatory conditions in pregnancy.

使用靶向母体无细胞RNA检测对妊娠炎症性疾病进行预测性筛查:来自大型动物和人类队列的原理验证数据
管理和预防主要的炎症相关妊娠并发症,如绒毛膜羊膜炎和先兆子痫,由于缺乏早期妊娠风险筛查工具而受到阻碍。在一项原理验证研究中,我们对来自大型动物(羊)和人类妊娠队列的母体血浆样本进行了靶向无细胞RNA分析,以开发一种炎症标志物的微创筛查试验。本研究采用无菌性和细菌性绒毛膜羊膜炎早产儿羊模型。配对母羊分别接受羊膜内盐水对照(n = 10)或大肠杆菌LPS(无菌绒毛膜羊膜炎)治疗,暴露时间为2天(n = 9)或8天(n = 6)。早产羔羊于妊娠124±1d娩出。研究结果在绒毛膜羊膜炎细菌模型中得到了验证,母羊在妊娠98天(n = 8)或妊娠128天(n = 8)时暴露于羊膜内人乳头状芽胞杆菌7天。每组在干预前和分娩时采集母体血液。使用随机森林算法分析基线和分娩时母体血浆中与炎症相关的8个无细胞RNA(cfRNA)靶点,确定区分有或没有宫内炎症动物的基因。血浆cfRNA数据与胎盘组织mRNA表达进行比较。血液学和胎盘mRNA比较采用方差分析/Tukey HSD/Dunnett T3检验。随后,在一组迟发性先兆子痫(n = 10)或无并发症妊娠(n = 10)患者的血浆样本中验证了母体血浆cfRNA宫内炎症的发现。我们提供的数据显示,在绵羊妊娠模型中,靶向母体cfRNA检测可以准确识别无菌(AUC 1.0)和感染性(AUC 0.84)来源的绒毛膜羊膜炎。研究结果随后在迟发性先兆子痫患者的第1个月(AUC = 0.85)、第2个月(AUC = 0.90)和第3个月(AUC = 0.82)的母体血浆样本中得到验证。在绵羊和人类模型系统中,cfRNA测试在没有明显临床症状的情况下提供了高水平的敏感性和特异性。我们建议这项技术的进一步发展可以作为一种可扩展的、快速部署的、经济有效的方法来预测妊娠期的主要炎症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Reproductive Sciences
Reproductive Sciences 医学-妇产科学
CiteScore
5.50
自引率
3.40%
发文量
322
审稿时长
4-8 weeks
期刊介绍: Reproductive Sciences (RS) is a peer-reviewed, monthly journal publishing original research and reviews in obstetrics and gynecology. RS is multi-disciplinary and includes research in basic reproductive biology and medicine, maternal-fetal medicine, obstetrics, gynecology, reproductive endocrinology, urogynecology, fertility/infertility, embryology, gynecologic/reproductive oncology, developmental biology, stem cell research, molecular/cellular biology and other related fields.
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