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 (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America.
Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America.
PLoS One. 2019 Jun 4;14(6):e0217273. doi: 10.1371/journal.pone.0217273. eCollection 2019.
To identify maternal plasma protein markers for early preeclampsia (delivery <34 weeks of gestation) and to determine whether the prediction performance is affected by disease severity and presence of placental lesions consistent with maternal vascular malperfusion (MVM) among cases.
This longitudinal case-control study included 90 patients with a normal pregnancy and 33 patients with early preeclampsia. Two to six maternal plasma samples were collected throughout gestation from each woman. The abundance of 1,125 proteins was measured using high-affinity aptamer-based proteomic assays, and data were modeled using linear mixed-effects models. After data transformation into multiples of the mean values for gestational age, parsimonious linear discriminant analysis risk models were fit for each gestational-age interval (8-16, 16.1-22, 22.1-28, 28.1-32 weeks). Proteomic profiles of early preeclampsia cases were also compared to those of a combined set of controls and late preeclampsia cases (n = 76) reported previously. Prediction performance was estimated via bootstrap.
We found that 1) multi-protein models at 16.1-22 weeks of gestation predicted early preeclampsia with a sensitivity of 71% at a false-positive rate (FPR) of 10%. High abundance of matrix metalloproteinase-7 and glycoprotein IIbIIIa complex were the most reliable predictors at this gestational age; 2) at 22.1-28 weeks of gestation, lower abundance of placental growth factor (PlGF) and vascular endothelial growth factor A, isoform 121 (VEGF-121), as well as elevated sialic acid binding immunoglobulin-like lectin 6 (siglec-6) and activin-A, were the best predictors of the subsequent development of early preeclampsia (81% sensitivity, FPR = 10%); 3) at 28.1-32 weeks of gestation, the sensitivity of multi-protein models was 85% (FPR = 10%) with the best predictors being activated leukocyte cell adhesion molecule, siglec-6, and VEGF-121; 4) the increase in siglec-6, activin-A, and VEGF-121 at 22.1-28 weeks of gestation differentiated women who subsequently developed early preeclampsia from those who had a normal pregnancy or developed late preeclampsia (sensitivity 77%, FPR = 10%); 5) the sensitivity of risk models was higher for early preeclampsia with placental MVM lesions than for the entire early preeclampsia group (90% versus 71% at 16.1-22 weeks; 87% versus 81% at 22.1-28 weeks; and 90% versus 85% at 28.1-32 weeks, all FPR = 10%); and 6) the sensitivity of prediction models was higher for severe early preeclampsia than for the entire early preeclampsia group (84% versus 71% at 16.1-22 weeks).
We have presented herein a catalogue of proteome changes in maternal plasma proteome that precede the diagnosis of preeclampsia and can distinguish among early and late phenotypes. The sensitivity of maternal plasma protein models for early preeclampsia is higher in women with underlying vascular placental disease and in those with a severe phenotype.
鉴定用于早期先兆子痫(<34 孕周分娩)的母体血浆蛋白标志物,并确定预测性能是否受疾病严重程度和病例中与母体血管功能不全一致的胎盘病变的影响。
本纵向病例对照研究纳入了 90 例正常妊娠妇女和 33 例早期先兆子痫妇女。每位女性在整个妊娠期间采集 2 至 6 份母血浆样本。使用高亲和力适体为基础的蛋白质组学检测方法测量了 1125 种蛋白质的丰度,并使用线性混合效应模型对数据进行建模。在将数据转化为妊娠年龄的倍数后,为每个妊娠年龄间隔(8-16、16.1-22、22.1-28、28.1-32 周)拟合简约线性判别分析风险模型。还将早期先兆子痫病例的蛋白质组谱与之前报道的合并对照组和晚期先兆子痫病例(n=76)的蛋白质组谱进行了比较。通过自举法估计预测性能。
我们发现:1)16.1-22 孕周的多蛋白模型以 10%的假阳性率(FPR)预测早期先兆子痫,其敏感性为 71%;基质金属蛋白酶-7 和糖蛋白 IIbIIIa 复合物的高丰度是该孕龄最可靠的预测因子;2)在 22.1-28 孕周时,胎盘生长因子(PlGF)和血管内皮生长因子 A、异构体 121(VEGF-121)的丰度较低,以及唾液酸结合免疫球蛋白样凝集素 6(siglec-6)和激活素-A 的升高是随后发生早期先兆子痫的最佳预测因子(81%的敏感性,FPR=10%);3)在 28.1-32 孕周时,多蛋白模型的敏感性为 85%(FPR=10%),最佳预测因子为活化白细胞细胞黏附分子、siglec-6 和 VEGF-121;4)在 22.1-28 孕周时,siglec-6、激活素-A 和 VEGF-121 的增加可将随后发生早期先兆子痫的妇女与正常妊娠或发生晚期先兆子痫的妇女区分开来(敏感性 77%,FPR=10%);5)有胎盘 MVM 病变的早期先兆子痫患者的风险模型的敏感性高于整个早期先兆子痫组(16.1-22 孕周时为 90%比 71%;22.1-28 孕周时为 87%比 81%;28.1-32 孕周时为 90%比 85%,所有 FPR=10%);6)严重早期先兆子痫患者的预测模型敏感性高于整个早期先兆子痫组(16.1-22 孕周时为 84%比 71%)。
本文介绍了母体血浆蛋白质组在先兆子痫诊断前发生的一系列变化,并可区分早期和晚期表型。在存在潜在血管胎盘疾病和严重表型的妇女中,母体血浆蛋白模型对早期先兆子痫的敏感性更高。