Bahado-Singh Ray O, Turkoglu Onur, Yilmaz Ali, Kumar Praveen, Zeb Amna, Konda Shruti, Sherman Eric, Kirma Joseph, Allos Mathew, Odibo Anthony, Maulik Dev, Graham Stewart F
Department of Obstetrics and Gynecology, Beaumont Health, Royal Oak, Michigan, USA.
Lake Erie College of Osteopathic Medicine, Erie, Pennsylvania, USA.
J Matern Fetal Neonatal Med. 2022 Feb;35(3):447-456. doi: 10.1080/14767058.2020.1722632. Epub 2020 Feb 10.
Fetal growth restriction (FGR), viz., birth weight <10th percentile is a common pregnancy complication which increases the risk of adverse fetal and newborn outcomes. The placenta is the key organ for fetal growth as it controls oxygen and nutrient availability. This study aims to elucidate the mechanisms of and identify putative placental biomarkers for FGR using high-resolution metabolomics.
Placenta samples from 19 FGR cases and 30 controls were analyzed using proton magnetic resonance (H NMR) spectroscopy and direct flow injection mass spectrometry with reverse-phase liquid-chromatography mass spectrometry (DI-LC-MS/MS). Significant concentration differences (-value <.05) in 179 of the 220 metabolites were measured.
Of the 179 metabolites, 176 (98.3%) had reduced placental levels in FGR cases. The best performing metabolite model: 3-hydroxybutyrate, glycine and PCaaC42:0 achieved an AUC (95% CI) = 0.912 (0.814-1.000) with a sensitivity of 86.7% and specificity of 84.2% for FGR detection. Metabolite set enrichment analysis (MSEA) revealed significant ( < .05) perturbation of multiple placental metabolite pathways including urea metabolism, ammonia recycling, porphyrin metabolism, bile acid biosynthesis, galactose metabolism and perturbed protein biosynthesis.
The placental metabolic pathway analysis revealed abnormalities that are consistent with fetal hepatic dysfunction in FGR. Near global reduction of metabolite concentrations was found in the placenta from FGR cases and metabolites demonstrated excellent diagnostic accuracy for FGR detection.
胎儿生长受限(FGR),即出生体重低于第10百分位数,是一种常见的妊娠并发症,会增加胎儿和新生儿不良结局的风险。胎盘是胎儿生长的关键器官,因为它控制着氧气和营养物质的供应。本研究旨在利用高分辨率代谢组学阐明FGR的机制并识别潜在的胎盘生物标志物。
使用质子磁共振(H NMR)光谱和直接流动注射质谱联用反相液相色谱质谱(DI-LC-MS/MS)分析了19例FGR病例和30例对照的胎盘样本。测量了220种代谢物中179种的显著浓度差异(P值<.05)。
在这179种代谢物中,176种(98.3%)在FGR病例中的胎盘水平降低。表现最佳的代谢物模型:3-羟基丁酸、甘氨酸和PCaaC42:0在检测FGR时的曲线下面积(AUC,95%可信区间)=0.912(0.814-1.000),灵敏度为86.7%,特异性为84.2%。代谢物集富集分析(MSEA)显示,包括尿素代谢、氨循环、卟啉代谢、胆汁酸生物合成、半乳糖代谢和蛋白质生物合成紊乱在内的多个胎盘代谢物途径存在显著(P<.05)扰动。
胎盘代谢途径分析揭示了与FGR中胎儿肝功能障碍一致的异常情况。在FGR病例的胎盘中发现代谢物浓度几乎整体降低,并且代谢物对FGR检测具有出色的诊断准确性。