The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism

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• 作者：Animesh Acharjee ; Philippa Prentice ; Carlo Acerini ; James Smith&#8230
• 关键词：Lipidomics ; Biomarker discovery ; Random Forest ; Infant nutrition
• 刊名：Metabolomics
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：13
• 期：3
• 全文大小：1519KB
• 刊物主题：Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine, general;
• 出版者：Springer US
• ISSN：1573-3890
• 卷排序：13

文摘

IntroductionLinks 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.