Metabolomic profiling in blood from umbilical cords of low birth weight newborns

脐带 出生体重 低出生体重 医学 代谢组 怀孕 代谢组学 产科 百分位 生理学 内分泌学 生物 生物信息学 免疫学 代谢物 遗传学 统计 数学
作者
Carmen Ivorra,Consuelo García-Vicent,Felipe Javier Chaves,Daniel Monleón,José Manuel Morales,Empar Lurbe
出处
期刊:Journal of Translational Medicine [Springer Nature]
卷期号:10 (1) 被引量:79
标识
DOI:10.1186/1479-5876-10-142
摘要

Abstract Background Low birth weight has been linked to an increased risk to develop obesity, type 2 diabetes, and hypertension in adult life, although the mechanisms underlying the association are not well understood. The objective was to determine whether the metabolomic profile of plasma from umbilical cord differs between low and normal birth weight newborns. Methods Fifty healthy pregnant women and their infants were selected. The eligibility criteria were being born at term and having a normal pregnancy. Pairs were grouped according to their birth weight: low birth weight (LBW, birth weight < 10 th percentile, n = 20) and control (control, birth weight between the 75 th -90 th percentiles, n = 30). Nuclear Magnetic Resonance (NMR) was used to generate metabolic fingerprints of umbilical cord plasma samples. Simultaneously, the metabolomic profiles of the mothers were analysed. The resulting data were subjected to chemometric, principal component and partial least squares discriminant analyses. Results Umbilical cord plasma from LBW and control newborns displayed a clearly differentiated metabolic profile. Seven metabolites were identified that discriminate the LBW from the control group. LBW newborns had lower levels of choline, proline, glutamine, alanine and glucose than did the control newborns, while plasma levels of phenylalanine and citrulline were higher in LBW newborns (p < 0.05). No significant differences were found between the two groups of mothers. Conclusions Low birth weight newborns display a differential metabolomic profile than those of normal birth weight, a finding not present in the mothers. The meaning and the potential utility of the findings as biomarkers of risk need to be addressed in future studies.

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