Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic.
Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, 147 00 Prague, Czech Republic.
Int J Mol Sci. 2023 Mar 8;24(6):5177. doi: 10.3390/ijms24065177.
We evaluated the potential of cardiovascular-disease-associated microRNAs for early prediction of HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome. Gene expression profiling of 29 microRNAs was performed on whole peripheral venous blood samples collected between 10 and 13 weeks of gestation using real-time RT-PCR. The retrospective study involved singleton pregnancies of Caucasian descent only diagnosed with HELLP syndrome ( = 14) and 80 normal-term pregnancies. Upregulation of six microRNAs (miR-1-3p, miR-17-5p, miR-143-3p, miR-146a-5p, miR-181a-5p, and miR-499a-5p) was observed in pregnancies destined to develop HELLP syndrome. The combination of all six microRNAs showed a relatively high accuracy for the early identification of pregnancies destined to develop HELLP syndrome (AUC 0.903, < 0.001, 78.57% sensitivity, 93.75% specificity, cut-off > 0.1622). It revealed 78.57% of HELLP pregnancies at a 10.0% false-positive rate (FPR). The predictive model for HELLP syndrome based on whole peripheral venous blood microRNA biomarkers was further extended to maternal clinical characteristics, most of which were identified as risk factors for the development of HELLP syndrome (maternal age and BMI values at early stages of gestation, the presence of any kind of autoimmune disease, the necessity to undergo an infertility treatment by assisted reproductive technology, a history of HELLP syndrome and/or pre-eclampsia in a previous gestation, and the presence of trombophilic gene mutations). Then, 85.71% of cases were identified at a 10.0% FPR. When another clinical variable (the positivity of the first-trimester screening for pre-eclampsia and/or fetal growth restriction by the Fetal Medicine Foundation algorithm) was implemented in the HELLP prediction model, the predictive power was increased further to 92.86% at a 10.0% FPR. The model based on the combination of selected cardiovascular-disease-associated microRNAs and maternal clinical characteristics has a very high predictive potential for HELLP syndrome and may be implemented in routine first-trimester screening programs.
我们评估了与心血管疾病相关的 microRNAs 在早期预测 HELLP(溶血、肝酶升高和血小板减少)综合征中的潜力。使用实时 RT-PCR 在妊娠 10-13 周采集的全外周静脉血样本上进行了 29 个 microRNA 的基因表达谱分析。这项回顾性研究仅涉及被诊断为 HELLP 综合征的白种人单胎妊娠(=14)和 80 例正常足月妊娠。在注定要发展为 HELLP 综合征的妊娠中观察到六种 microRNAs(miR-1-3p、miR-17-5p、miR-143-3p、miR-146a-5p、miR-181a-5p 和 miR-499a-5p)的上调。六种 microRNA 的组合对早期识别注定要发展为 HELLP 综合征的妊娠具有较高的准确性(AUC 0.903,<0.001,78.57%的敏感性,93.75%的特异性,cut-off >0.1622)。它在 10.0%的假阳性率(FPR)下揭示了 78.57%的 HELLP 妊娠。基于全外周静脉血 microRNA 生物标志物的 HELLP 综合征预测模型进一步扩展到母体临床特征,其中大多数被确定为 HELLP 综合征发展的危险因素(妊娠早期的母亲年龄和 BMI 值、任何自身免疫性疾病的存在、需要通过辅助生殖技术进行不孕治疗、既往妊娠中的 HELLP 综合征和/或子痫前期史,以及存在血栓形成基因突变)。然后,在 10.0%的 FPR 下识别出 85.71%的病例。当将第一个 trimester 子痫前期和/或胎儿生长受限的筛查结果(通过胎儿医学基金会算法)作为另一个临床变量纳入 HELLP 预测模型时,预测能力进一步提高到在 10.0%的 FPR 下达到 92.86%。基于选定的与心血管疾病相关的 microRNAs 和母体临床特征的组合模型对 HELLP 综合征具有很高的预测潜力,可在常规第一个 trimester 筛查计划中实施。