Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Department of Obstetrics & Gynecology, University of Toronto, Toronto, Ontario, Canada.
J Extracell Vesicles. 2024 Feb;13(2):e12413. doi: 10.1002/jev2.12413.
Small-for-gestational age (SGA) neonates exhibit increased perinatal morbidity and mortality, and a greater risk of developing chronic diseases in adulthood. Currently, no effective maternal blood-based screening methods for determining SGA risk are available. We used a high-resolution MS/MS shotgun lipidomic approach to explore the lipid profiles of small extracellular vesicles (sEV) released from the placenta into the circulation of pregnant individuals. Samples were acquired from 195 normal and 41 SGA pregnancies. Lipid profiles were determined serially across pregnancy. We identified specific lipid signatures of placental sEVs that define the trajectory of a normal pregnancy and their changes occurring in relation to maternal characteristics (parity and ethnicity) and birthweight centile. We constructed a multivariate model demonstrating that specific lipid features of circulating placental sEVs, particularly during early gestation, are highly predictive of SGA infants. Lipidomic-based biomarker development promises to improve the early detection of pregnancies at risk of developing SGA, an unmet clinical need in obstetrics.
小于胎龄儿(SGA)新生儿围产期发病率和死亡率增加,成年后患慢性病的风险也更高。目前,尚无有效的基于母体血液的 SGA 风险筛查方法。我们使用高分辨率 MS/MS shotgun 脂质组学方法来探索从胎盘释放到孕妇循环中的小细胞外囊泡(sEV)的脂质谱。样本取自 195 例正常妊娠和 41 例 SGA 妊娠。对脂质谱进行了贯穿整个妊娠过程的连续测定。我们确定了胎盘 sEV 的特定脂质特征,这些特征定义了正常妊娠的轨迹及其与母体特征(产次和种族)和出生体重百分位数相关的变化。我们构建了一个多元模型,证明循环胎盘 sEV 的特定脂质特征,特别是在妊娠早期,对 SGA 婴儿具有高度预测性。基于脂质组学的生物标志物开发有望提高对有 SGA 风险的妊娠的早期检测,这是产科领域未满足的临床需求。