Considine Elizabeth C, Khashan Ali S, Kenny Louise C
The Irish Centre for Fetal and Neonatal Translational Research (INFANT), Department of Obstetrics and Gynaecology, University College Cork, Cork T12 YE02, Ireland.
School of Public Health, University College Cork, Cork T12 XF62, Ireland.
Metabolites. 2019 May 7;9(5):90. doi: 10.3390/metabo9050090.
The aim of this preliminary study was to investigate the potential of maternal serum to provide metabolomic biomarker candidates for the prediction of spontaneous preterm birth (SPTB) in asymptomatic pregnant women at 15 and/or 20 weeks' gestation. Metabolomics LC-MS datasets from serum samples at 15- and 20-weeks' gestation from a cohort of approximately 50 cases (GA < 37 weeks) and 55 controls (GA > 41weeks) were analysed for candidate biomarkers predictive of SPTB. Lists of the top ranked candidate biomarkers from both multivariate and univariate analyses were produced. At the 20 weeks' GA time-point these lists had high concordance with each other (85%). A subset of 4 of these features produce a biomarker panel that predicts SPTB with a partial Area Under the Curve (pAUC) of 12.2, a sensitivity of 87.8%, a specificity of 57.7% and a -value of 0.0013 upon 10-fold cross validation using PanelomiX software. This biomarker panel contained mostly features from groups already associated in the literature with preterm birth and consisted of 4 features from the biological groups of "Bile Acids", "Prostaglandins", "Vitamin D and derivatives" and "Fatty Acids and Conjugates".
这项初步研究的目的是调查孕妇血清提供代谢组学生物标志物候选物的潜力，以预测妊娠15周和/或20周时无症状孕妇的自发性早产（SPTB）。对来自约50例病例（孕周<37周）和55例对照（孕周>41周）队列的妊娠15周和20周时血清样本的代谢组学液相色谱-质谱数据集进行分析，以寻找预测SPTB的候选生物标志物。生成了多变量和单变量分析中排名靠前的候选生物标志物列表。在妊娠20周的时间点，这些列表彼此之间具有高度一致性（85%）。其中4个特征的一个子集产生了一个生物标志物组，使用PanelomiX软件进行10倍交叉验证时，该生物标志物组预测SPTB的部分曲线下面积（pAUC）为12.2，敏感性为87.8%，特异性为57.7%，P值为0.0013。该生物标志物组主要包含文献中已与早产相关的组的特征，由“胆汁酸”、“前列腺素”、“维生素D及其衍生物”和“脂肪酸及其共轭物”生物组中的4个特征组成。
