Urinary metabolomics (GC-MS) reveals that low and high birth weight infants share elevated inositol concentrations at birth
Urinary metabolomics (GC-MS) reveals that low and high birth weight infants share elevated inositol concentrations at birth
复制标题
DOI：
10.3109/14767058.2014.954786
复制
发表时间：
2014-10-01
影响因子：
1.8
通讯作者：
Dessi, Angelica
中科院分区：
文献类型：
--
作者：
Barberini, Luigi;Noto, Antonio;Dessi, Angelica
目的：代谢组学是一个新的“组学”平台，旨在对小分子代谢物进行高通量鉴定、定量和表征。代谢组学方法已成功应用于不同生理状态的分类和受干扰的生化途径的识别。当前研究的目的是应用代谢组学来探讨可能导致成年期代谢综合征发病的生物学机制。方法：我们评估了 23 名 IUGR（宫内生长受限）或 LGA（大于胎龄）婴儿 12 小时内收集的尿液中代谢物的差异，并与对照婴儿（10 名定义为 AGA：适合胎龄的患者）进行比较。通过 GC-MS 对尿液代谢物进行定量，并用于突出两种代谢疾病之间的相似性，并确定其易感性的代谢标志物。使用多变量统计与已识别生物标志物的接受者操作特征曲线 (ROC) 分析相结合，对量化的代谢物进行分析。结果：尿液肌醇是 LGA + IUGR 和对照婴儿之间最重要的判别因素，并显示 ROC 曲线下面积 = 1。结论：我们假设血浆和尿肌醇的增加可能构成 IUGR 和 LGA 新生儿胎儿发育过程中葡萄糖代谢改变的标志。
Objective: Metabolomics is a new "omics" platform aimed at high-throughput identification, quantification and characterization of small-molecule metabolites. The metabolomics approach has been successfully applied to the classification different physiological states and identification of perturbed biochemical pathways. The purpose of the current investigation is the application of metabolomics to explore biological mechanisms which may lead to the onset of metabolic syndrome in adulthood.Methods: We evaluated differences in metabolites in the urine collected within 12 h from 23 infants with IUGR (IntraUterine Growth Restriction), or LGA (Large for Gestational Age), compared to control infants (10 patients defined AGA: Appropriate for Gestational Age). Urinary metabolites were quantified by GC-MS and used to highlight similarities between the two metabolic diseases and identify metabolic markers for their predisposition. Quantified metabolites were analyzed using a multivariate statistics coupled with receiver operator characteristic curve (ROC) analysis of identified biomarkers.Results: Urinary myo-inositol was the most important discriminant between LGA + IUGR and control infants, and displayed an area under the ROC curve = 1.Conclusion: We postulate that the increase in plasma and consequently urinary inositol may constitute a marker of altered glucose metabolism during fetal development in both IUGR and LGA newborns.