Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth.
Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth.
复制标题
DOI：
10.2337/db15-1748
复制
发表时间：
2016-07
期刊：
影响因子：
7.7
通讯作者：
HAPO Study Cooperative Research Group
中科院分区：
文献类型：
--
作者：
Scholtens DM;Bain JR;Reisetter AC;Muehlbauer MJ;Nodzenski M;Stevens RD;Ilkayeva O;Lowe LP;Metzger BE;Newgard CB;Lowe WL Jr;HAPO Study Cooperative Research Group
母体代谢物和代谢网络之间的关联母亲在怀孕期间的葡萄糖和新生儿出生体重和肥胖需要更全面的表征。我们在高血压和不良妊娠结局研究中，对400名北方欧洲孕妇在口服葡萄糖耐量试验（OGTT）期间空腹和饮用葡萄糖饮料后1小时采集的母体血清进行了靶向和非靶向气相色谱/质谱代谢组学分析。氨基酸，脂肪酸，酰基肉毒碱和脂质代谢产物减少，甘油三酯增加OGTT。单个代谢物的分析表明，空腹时母体葡萄糖的相关性有限，但在1 h时发现了更广泛的相关性，包括氨基酸、脂肪酸、碳水化合物和脂质。网络分析建模代谢物的相关性提供了个人代谢物协会的背景下，并阐明了集体协会的多种类别的代谢燃料与新生儿的大小和肥胖，包括酰基肉毒碱，脂肪酸，碳水化合物和有机酸。随机森林分析表明，通过使用母体代谢组学数据超越传统风险因素（包括母体葡萄糖），预测新生儿大小结果的能力有所提高。燃料代谢物与母体葡萄糖的广泛关联在妊娠期间是明显的，独特的母体代谢物可能特别有助于新生儿出生体重和肥胖。
Maternal metabolites and metabolic networks underlying associations between maternal glucose during pregnancy and newborn birth weight and adiposity demand fuller characterization. We performed targeted and nontargeted gas chromatography/mass spectrometry metabolomics on maternal serum collected at fasting and 1 h following glucose beverage consumption during an oral glucose tolerance test (OGTT) for 400 northern European mothers at ∼28 weeks' gestation in the Hyperglycemia and Adverse Pregnancy Outcome Study. Amino acids, fatty acids, acylcarnitines, and products of lipid metabolism decreased and triglycerides increased during the OGTT. Analyses of individual metabolites indicated limited maternal glucose associations at fasting, but broader associations, including amino acids, fatty acids, carbohydrates, and lipids, were found at 1 h. Network analyses modeling metabolite correlations provided context for individual metabolite associations and elucidated collective associations of multiple classes of metabolic fuels with newborn size and adiposity, including acylcarnitines, fatty acids, carbohydrates, and organic acids. Random forest analyses indicated an improved ability to predict newborn size outcomes by using maternal metabolomics data beyond traditional risk factors, including maternal glucose. Broad-scale association of fuel metabolites with maternal glucose is evident during pregnancy, with unique maternal metabolites potentially contributing specifically to newborn birth weight and adiposity.