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

INTRODUCTION: 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 obes...

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Autores principales: Acharjee, Animesh, Prentice, Philippa, Acerini, Carlo, Smith, James, Hughes, Ieuan A., Ong, Ken, Griffin, Julian L., Dunger, David, Koulman, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5272886/
https://www.ncbi.nlm.nih.gov/pubmed/28190990
http://dx.doi.org/10.1007/s11306-017-1166-2
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author Acharjee, Animesh
Prentice, Philippa
Acerini, Carlo
Smith, James
Hughes, Ieuan A.
Ong, Ken
Griffin, Julian L.
Dunger, David
Koulman, Albert
author_facet Acharjee, Animesh
Prentice, Philippa
Acerini, Carlo
Smith, James
Hughes, Ieuan A.
Ong, Ken
Griffin, Julian L.
Dunger, David
Koulman, Albert
author_sort Acharjee, Animesh
collection PubMed
description INTRODUCTION: 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. OBJECTIVE: 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. METHOD: 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. CONCLUSION: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1166-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-52728862017-02-10 The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism Acharjee, Animesh Prentice, Philippa Acerini, Carlo Smith, James Hughes, Ieuan A. Ong, Ken Griffin, Julian L. Dunger, David Koulman, Albert Metabolomics Original Article INTRODUCTION: 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. OBJECTIVE: 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. METHOD: 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. CONCLUSION: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1166-2) contains supplementary material, which is available to authorized users. Springer US 2017-01-28 2017 /pmc/articles/PMC5272886/ /pubmed/28190990 http://dx.doi.org/10.1007/s11306-017-1166-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Acharjee, Animesh
Prentice, Philippa
Acerini, Carlo
Smith, James
Hughes, Ieuan A.
Ong, Ken
Griffin, Julian L.
Dunger, David
Koulman, Albert
The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title_full The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title_fullStr The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title_full_unstemmed The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title_short The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
title_sort translation of lipid profiles to nutritional biomarkers in the study of infant metabolism
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5272886/
https://www.ncbi.nlm.nih.gov/pubmed/28190990
http://dx.doi.org/10.1007/s11306-017-1166-2
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