Department of Perinatology, Medical University of Bialystok, Bialystok, Poland.
Department of Pharmaceutical Analysis, Medical University of Bialystok, Bialystok, Poland.
Mediators Inflamm. 2018 Feb 15;2018:9362820. doi: 10.1155/2018/9362820. eCollection 2018.
To profile maternal plasma metabolome in spontaneous preterm birth.
In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy ( = 57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy ( = 49)), and with term delivery ( = 25). Plasma samples were analysed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) in positive and negative polarity modes.
We found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups.
Maternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.
描绘自发性早产产妇的母体外周血代谢组图谱。
在这项回顾性病例对照研究中，我们检测了早产（妊娠 22 至 36 周，n=57）、先兆早产（妊娠 23 至 36 周，n=49）和足月产（n=25）产妇的母体外周血样本。采用正负离子模式下的液相色谱-四极杆飞行时间质谱（LC-Q-TOF-MS）对血浆样本进行分析。
我们发现了 168 个在研究组间差异显著的差异表达代谢物。利用公共数据库，我们确定了 51 个代谢物，可分为五类：氨基酸、脂肪酸、脂质、激素和胆汁酸。PLS-DA 模型经 SVM 分类准确率验证，可区分早产和足月分娩组。
足月和早产分娩产妇的母体外周血代谢物存在差异。其中部分可能与早产临产有关，而其他部分可能与胎龄或临产开始有关。代谢物图谱可对早产或足月分娩组进行分类，提示代谢组学有作为高危妊娠生物标志物的潜力。代谢组学研究也是检测可能进一步在靶向研究中进行测试的单个化合物的工具。
