The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism.
The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism.
复制标题
在婴儿代谢研究中，将脂质谱转换为营养生物标志物。
DOI：
10.1007/s11306-017-1166-2
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Koulman A
中科院分区：
文献类型：
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作者：
Acharjee A;Prentice P;Acerini C;Smith J;Hughes IA;Ong K;Griffin JL;Dunger D;Koulman A
生命早期暴露与后来的健康结果之间的联系可能部分是由于婴儿期的营养规划。这一假设得到了观察到的与母乳喂养相关的长期益处的支持，例如儿童时期更好的认知发展，以及晚年肥胖和高血压的风险降低。然而，可能的潜在机制预计将是复杂的，可能难以解开，由于缺乏了解的代谢过程，区分母乳喂养的婴儿相比，那些只接受配方饲料。我们的目的是调查婴儿喂养和血脂谱之间的关系，并在单独的数据集中验证特定的脂质，以便一小组脂质可用作营养生物标志物。我们利用直接输注高分辨率质谱法分析了从剑桥婴儿生长研究（CBGS-1）中收集的3个月大的3.2 mm干血斑样本的脂质谱，CBGS-1形成了发现队列。为了验证，分析了两个样本集：剑桥婴儿生长研究（CBGS-2）和妊娠结局预测研究（POPS）。比较了纯母乳喂养、纯配方奶粉喂养或不同水平混合喂养的婴儿组之间的脂质组学特征。数据分析采用有监督的随机森林方法，结合分类和回归模式。脂质的选择是基于迭代向后消除程序，而不损害分类模式中的类错误。从这项研究中，我们能够识别和验证三种脂质：PC（35：2），SM（36：2）和SM（39：1），它们可以共同用作早期发育期间婴儿营养的生物标志物。这些生物标志物可用于确定幼儿（3-6个月）是否接受母乳喂养或配方奶粉。本文的在线版本（doi：10.1007/s11306-017-1166-2）包含补充材料，可供授权用户使用。
Links between early life exposures and later health outcomes may, in part, be due to nutritional programming in infancy. This hypothesis is supported by observed long-term benefits associated with breastfeeding, such as better cognitive development in childhood, and lower risks of obesity and high blood pressure in later life. However, the possible underlying mechanisms are expected to be complex and may be difficult to disentangle due to the lack of understanding of the metabolic processes that differentiate breastfed infants compared to those receiving just formula feed. Our aim was to investigate the relationships between infant feeding and the lipid profiles and to validate specific lipids in separate datasets so that a small set of lipids can be used as nutritional biomarkers. We utilized a direct infusion high-resolution mass spectrometry method to analyse the lipid profiles of 3.2 mm dried blood spot samples collected at age 3 months from the Cambridge Baby Growth Study (CBGS-1), which formed the discovery cohort. For validation two sample sets were profiled: Cambridge Baby Growth Study (CBGS-2) and Pregnancy Outcome Prediction Study (POPS). Lipidomic profiles were compared between infant groups who were either exclusively breastfed, exclusively formula-fed or mixed-fed at various levels. Data analysis included supervised Random Forest method with combined classification and regression mode. Selection of lipids was based on an iterative backward elimination procedure without compromising the class error in the classification mode. From this study, we were able to identify and validate three lipids: PC(35:2), SM(36:2) and SM(39:1) that can be used collectively as biomarkers for infant nutrition during early development. These biomarkers can be used to determine whether young infants (3–6 months) are breast-fed or receive formula milk. The online version of this article (doi:10.1007/s11306-017-1166-2) contains supplementary material, which is available to authorized users.