Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates
Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates
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DOI：
10.1039/d1mo00131k
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发表时间：
2021-09-14
期刊：
影响因子：
2.9
通讯作者：
Baqui, Abdullah H.
中科院分区：
文献类型：
--
作者：
Byeon, Seul Kee;Khanam, Rasheda;Baqui, Abdullah H.
为了发现随后生下小于胎龄 (SGA) 新生儿的母亲在怀孕期间的脂质组学变化，并确定有助于识别和管理这些母亲的预测性脂质标记物，我们对妊娠 24-28 周之间收集的母体血清样本进行了非靶向脂质组学。我们使用了巢式病例对照研究设计，并使用了来自分娩 SGA 且适合胎龄婴儿的母亲的血清。我们使用质谱法应用非靶向脂质组学来表征脂质并发现与妊娠期间 SGA 出生相关的变化。多变量模式识别软件协作实验室综合报告 (CLIR) 用于对脂质比率的范围差异进行分析后识别，这些差异可以区分 SGA 和对照母亲，并将其整合以实现两组之间的完全分离。在这里，我们报告了分娩 SGA 新生儿的母亲在怀孕期间收集的血清中脂质的变化。与正常妊娠相比，由于溶血磷脂酶 D 活性增加，溶血磷脂酸在妊娠过程中增加，我们观察到 SGA 母亲的 20:4-溶血磷脂酸减少（32%；P = 0.05），这可能会损害胎儿的生长和发育。将脂质比率整合到解释工具 (CLIR) 中可以将 SGA 母亲与对照组完全分开，这证明了非靶向脂质组学分析在识别新型预测生物标志物方面的能力。需要进行更多研究来进一步评估本报告中确定的脂质生物标志物。
To discover lipidomic alterations during pregnancy in mothers who subsequently delivered small for gestational age (SGA) neonates and identify predictive lipid markers that can help recognize and manage these mothers, we carried out untargeted lipidomics on maternal serum samples collected between 24-28 weeks of gestation. We used a nested case-control study design and serum from mothers who delivered SGA and appropriate for gestational age babies. We applied untargeted lipidomics using mass spectrometry to characterize lipids and discover changes associated with SGA births during pregnancy. Multivariate pattern recognition software Collaborative Laboratory Integrated Reports (CLIR) was used for the post-analytical recognition of range differences in lipid ratios that could differentiate between SGA and control mothers and their integration for complete separation between the two groups. Here, we report changes in lipids from serum collected during pregnancy in mothers who delivered SGA neonates. In contrast to normal pregnancies where lysophosphatidic acid increased over the course of the pregnancy owing to increased activity of lysophospholipase D, we observed a decrease (32%; P = 0.05) of 20:4-lysophosphatidic acid in SGA mothers, which could potentially compromise fetal growth and development. Integration of lipid ratios in an interpretive tool (CLIR) could completely separate SGA mothers from controls demonstrating the power of untargeted lipidomic analyses for identifying novel predictive biomarkers. Additional studies are required for further assessment of the lipid biomarkers identified in this report.