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Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
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Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
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Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies

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Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies
Journal Article

Consistency and Variability of the Human Milk Oligosaccharide Profile in Repeat Pregnancies

2024
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Overview
Human milk oligosaccharides (HMOs) are a set of complex carbohydrates and the third largest solid component of human milk, after lactose and lipids. To date, over 150 HMOs have been identified and the diversity of structures produced by lactating women is influenced by maternal genetics as well as other maternal, infant, and environmental factors. While the concentrations of individual HMOs have been shown to vary between individuals and throughout the course of lactation, the variability of HMO concentration profiles following different pregnancies occurring in the same woman is presently unknown. As such, the objective of this study was to compare HMO concentrations in human milk samples provided by the same women (n = 34) following repeat pregnancies. We leveraged existing human milk samples and metadata from the UC San Diego Human Milk Research Biorepository (HMB) and measured the concentrations of the 19 most abundant HMOs using high-performance liquid chromatography with fluorescence detection (HPLC-FL). By assessing dissimilarities in HMO concentration profiles, as well as concentration trends in individual structures between pregnancies of each participant, we discovered that HMO profiles largely follow a highly personalized and predictable trajectory following different pregnancies irrespective of non-genetic influences. In conclusion, this is the first study to assess the interactions between parity and time following delivery on variations in HMO compositions.