Department of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Department of Maternal-Fetal Medicine, Sparrow Hospital, Michigan State University, Lansing, MI, 48912, USA.
Metabolomics. 2023 Apr 15;19(4):41. doi: 10.1007/s11306-023-01988-x.
The impact of maternal coronavirus disease 2019 (COVID-19) infection on fetal health remains to be precisely characterized.
Using metabolomic profiling of newborn umbilical cord blood, we aimed to investigate the potential fetal biological consequences of maternal COVID-19 infection.
Cord blood plasma samples from 23 mild COVID-19 cases (mother infected/newborn negative) and 23 gestational age-matched controls were analyzed using nuclear magnetic spectroscopy and liquid chromatography coupled with mass spectrometry. Metabolite set enrichment analysis (MSEA) was used to evaluate altered biochemical pathways due to COVID-19 intrauterine exposure. Logistic regression models were developed using metabolites to predict intrauterine exposure.
Significant concentration differences between groups (p-value < 0.05) were observed in 19 metabolites. Elevated levels of glucocorticoids, pyruvate, lactate, purine metabolites, phenylalanine, and branched-chain amino acids of valine and isoleucine were discovered in cases while ceramide subclasses were decreased. The top metabolite model including cortisol and ceramide (d18:1/23:0) achieved an Area under the Receiver Operating Characteristics curve (95% CI) = 0.841 (0.725-0.957) for detecting fetal exposure to maternal COVID-19 infection. MSEA highlighted steroidogenesis, pyruvate metabolism, gluconeogenesis, and the Warburg effect as the major perturbed metabolic pathways (p-value < 0.05). These changes indicate fetal increased oxidative metabolism, hyperinsulinemia, and inflammatory response.
We present fetal biochemical changes related to intrauterine inflammation and altered energy metabolism in cases of mild maternal COVID-19 infection despite the absence of viral infection. Elucidation of the long-term consequences of these findings is imperative considering the large number of exposures in the population.
母体 2019 年冠状病毒病(COVID-19)感染对胎儿健康的影响仍需准确描述。
通过对新生儿脐血的代谢组学分析,我们旨在研究母体 COVID-19 感染对胎儿的潜在生物学影响。
使用核磁共振光谱和液相色谱-质谱联用技术对 23 例轻度 COVID-19 病例(母亲感染/新生儿阴性)和 23 例孕周匹配的对照的脐血血浆样本进行分析。采用代谢物集富集分析(MSEA)评估因 COVID-19 宫内暴露而改变的生化途径。使用代谢物建立逻辑回归模型以预测宫内暴露。
组间存在 19 种代谢物的浓度差异(p 值<0.05)。病例组中发现糖皮质激素、丙酮酸、乳酸、嘌呤代谢物、苯丙氨酸和支链氨基酸缬氨酸和异亮氨酸的水平升高,而神经酰胺亚类减少。包括皮质醇和神经酰胺(d18:1/23:0)的顶级代谢物模型在检测母体 COVID-19 感染胎儿暴露方面获得了 0.841(0.725-0.957)的受试者工作特征曲线下面积(95%置信区间)。MSEA 强调了类固醇生成、丙酮酸代谢、糖异生和瓦伯格效应作为主要失调的代谢途径(p 值<0.05)。这些变化表明胎儿氧化代谢增加、高胰岛素血症和炎症反应。
我们提出了与母体轻度 COVID-19 感染相关的胎儿生化变化,尽管不存在病毒感染,但存在宫内炎症和能量代谢改变。鉴于人群中存在大量暴露,阐明这些发现的长期后果至关重要。