Rosenblatt Kevin P, Zhang Zhen, Doss Robert, Gurnani Prem P, Grobman William A, Silver Robert M, Parry Samuel, Reddy Uma M, Cao Sha, Haas David M
NX Prenatal Inc, Louisville, KY.
Departments of Pathology and Oncology, Center for Biomarker Discovery and Translation, Johns Hopkins University School of Medicine, Baltimore, MD.
Am J Obstet Gynecol. 2025 Mar;232(3):319.e1-319.e21. doi: 10.1016/j.ajog.2024.05.032. Epub 2024 May 23.
Despite much research, advances in early prediction of spontaneous preterm birth (sPTB) has been slow. The evolving field of circulating microparticle (CMP) biology may identify novel blood-based, and clinically useful, biomarkers.
To test the ability of a previously identified, 7-marker set of CMP-derived proteins from the first trimester of pregnancy, in the form of an in vitro diagnostic multivariate index assay (IVDMIA), to stratify pregnant patients according to their risk for sPTB.
We employed a previously validated set of CMP protein biomarkers, utilizing mass spectrometry assays and a nested case-control design in a subset of participants from the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be (nuMoM2b). We evaluated these biomarkers in the form of an IVDMIA to predict risk for sPTB at different gestational ages. Plasma samples collected at 9- to 13-weeks' gestation were analyzed. The IVDMIA assigned subjects to 1 of 3 sPTB risk categories: low risk (LR), moderate risk (MR), or high risk (HR). Independent validation on a set-aside set confirmed the IVDMIA's performance in risk stratification.
Samples from 400 participants from the nuMoM2b cohort were used for the study; of these, 160 delivered<37 weeks and 240 delivered at term. Through Monte Carlo simulation in which the validation results were adjusted based on actual weekly sPTB incidence rates in the nuMoM2b cohort, the IVDMIA stratifications demonstrated statistically significant differences among the risk groups in time-to-event (birth) analysis (P<.0001). The incidence-rate adjusted cumulative risks of sPTB at ≤32 weeks' gestation were 0.4%, 1.6%, and 7.5%, respectively for the LR, MR, and HR groups, respectively. Compared to the LR group, the corresponding risk ratios of the IVDMIA assigned MR and HR group were 4.25 (95% confidence interval [CI] 2.2-7.9) and 19.92 (95% CI 10.4-37.4), respectively.
A first trimester CMP protein biomarker panel can be used to stratify risk for sPTB at different gestational ages. Such a multitiered stratification tool could be used to assess risk early in pregnancy to enable timely clinical management and interventions, and, ultimately, to enable the development of tailored care pathways for sPTB prevention.
尽管进行了大量研究,但自发性早产(sPTB)早期预测方面的进展一直缓慢。循环微粒(CMP)生物学这一不断发展的领域可能会识别出新的基于血液且具有临床实用性的生物标志物。
以体外诊断多变量指数分析(IVDMIA)的形式,测试一组先前确定的、来自妊娠早期的7种CMP衍生蛋白标志物,根据孕妇发生sPTB的风险对其进行分层的能力。
我们采用了一组先前经过验证的CMP蛋白生物标志物,利用质谱分析和巢式病例对照设计,对未生育孕妇妊娠结局研究:监测准妈妈(nuMoM2b)的一部分参与者进行研究。我们以IVDMIA的形式评估这些生物标志物,以预测不同孕周时sPTB的风险。分析了妊娠9至13周时采集的血浆样本。IVDMIA将受试者分为3种sPTB风险类别之一:低风险(LR)、中度风险(MR)或高风险(HR)。对预留样本集进行的独立验证证实了IVDMIA在风险分层方面的表现。
来自nuMoM2b队列的400名参与者的样本用于该研究;其中,160人在<37周时分娩,240人足月分娩。通过蒙特卡洛模拟,根据nuMoM2b队列中实际每周的sPTB发病率对验证结果进行调整,IVDMIA分层在事件发生时间(分娩)分析中显示风险组之间存在统计学显著差异(P<.0001)。妊娠≤32周时,LR、MR和HR组sPTB的发病率调整后累积风险分别为0.4%、1.6%和7.5%。与LR组相比,IVDMIA分配的MR组和HR组相应的风险比分别为4.25(95%置信区间[CI]2.2 - 7.9)和19.92(95%CI 10.4 - 37.4)。
妊娠早期CMP蛋白生物标志物面板可用于对不同孕周时sPTB的风险进行分层。这样一种多层次分层工具可用于在妊娠早期评估风险,以便及时进行临床管理和干预,并最终制定针对sPTB预防的个性化护理路径。