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Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations

While human milk composition is characterised by marked dynamicity, we are far from having a clear picture of what factors drive this variation. Hormones in human milk are known to vary according to specific maternal phenotypes, but limited evidence shows the infant also has a role in determining mi...

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Autores principales: Galante, Laura, Lagström, Hanna, Vickers, Mark H., Reynolds, Clare M., Rautava, Samuli, Milan, Amber M., Cameron-Smith, David, Pundir, Shikha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019968/
https://www.ncbi.nlm.nih.gov/pubmed/31935821
http://dx.doi.org/10.3390/nu12010152
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author Galante, Laura
Lagström, Hanna
Vickers, Mark H.
Reynolds, Clare M.
Rautava, Samuli
Milan, Amber M.
Cameron-Smith, David
Pundir, Shikha
author_facet Galante, Laura
Lagström, Hanna
Vickers, Mark H.
Reynolds, Clare M.
Rautava, Samuli
Milan, Amber M.
Cameron-Smith, David
Pundir, Shikha
author_sort Galante, Laura
collection PubMed
description While human milk composition is characterised by marked dynamicity, we are far from having a clear picture of what factors drive this variation. Hormones in human milk are known to vary according to specific maternal phenotypes, but limited evidence shows the infant also has a role in determining milk composition. The present study aimed to investigate the interplay between maternal and infant characteristics in relation to human milk hormonal profile. In total, 501 human milk samples from mothers recruited in the Finnish STEPS cohort study (Steps to the healthy development) were analysed. Pre-pregnancy and pregnancy maternal data, socioeconomic status and infant characteristics at birth were collated. Leptin, adiponectin, insulin-like growth factor-1 and cyclic Glycine-Proline in milk were measured. Multivariate analysis of variance (MANOVA) and linear regression were utilised for statistical analysis. Sex-specific interactions with maternal factors were observed, as the infant sex mediated associations between gestational diabetes and milk adiponectin (p = 0.031), birth-mode and total protein (p = 0.003), maternal education and insulin-like growth factor-1: cyclic Glycine-Proline ratio (p = 0.035). Our results suggest that changes in human milk composition are associated with interactions between maternal and infant characteristics and pathophysiological factors. Future work should expand on these findings and further explore the link between hormonal profiles in human milk and infant outcomes.
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spelling pubmed-70199682020-03-09 Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations Galante, Laura Lagström, Hanna Vickers, Mark H. Reynolds, Clare M. Rautava, Samuli Milan, Amber M. Cameron-Smith, David Pundir, Shikha Nutrients Article While human milk composition is characterised by marked dynamicity, we are far from having a clear picture of what factors drive this variation. Hormones in human milk are known to vary according to specific maternal phenotypes, but limited evidence shows the infant also has a role in determining milk composition. The present study aimed to investigate the interplay between maternal and infant characteristics in relation to human milk hormonal profile. In total, 501 human milk samples from mothers recruited in the Finnish STEPS cohort study (Steps to the healthy development) were analysed. Pre-pregnancy and pregnancy maternal data, socioeconomic status and infant characteristics at birth were collated. Leptin, adiponectin, insulin-like growth factor-1 and cyclic Glycine-Proline in milk were measured. Multivariate analysis of variance (MANOVA) and linear regression were utilised for statistical analysis. Sex-specific interactions with maternal factors were observed, as the infant sex mediated associations between gestational diabetes and milk adiponectin (p = 0.031), birth-mode and total protein (p = 0.003), maternal education and insulin-like growth factor-1: cyclic Glycine-Proline ratio (p = 0.035). Our results suggest that changes in human milk composition are associated with interactions between maternal and infant characteristics and pathophysiological factors. Future work should expand on these findings and further explore the link between hormonal profiles in human milk and infant outcomes. MDPI 2020-01-06 /pmc/articles/PMC7019968/ /pubmed/31935821 http://dx.doi.org/10.3390/nu12010152 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Galante, Laura
Lagström, Hanna
Vickers, Mark H.
Reynolds, Clare M.
Rautava, Samuli
Milan, Amber M.
Cameron-Smith, David
Pundir, Shikha
Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title_full Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title_fullStr Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title_full_unstemmed Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title_short Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations
title_sort sexually dimorphic associations between maternal factors and human milk hormonal concentrations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019968/
https://www.ncbi.nlm.nih.gov/pubmed/31935821
http://dx.doi.org/10.3390/nu12010152
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