Human milk oligosaccharide composition and associations with growth: results from an observational study in the US

Frontiers in Nutrition

Nutrition

Sean Deoni¹  Sean Austin²  Fabio Mainardi³  Nora Schneider³  Purva Rajhans³  Aristea Binia³ 

[1] Advanced Baby Imaging Lab, Rhode Island Hospital, Warren Alpert Medical School at Brown University, Providence, RI, United States;Department of Radiology, Warren Alpert Medical School at Brown University, Providence, RI, United States;Bill & Melinda Gates Foundation, Seattle, WA, United States;Nestlé Institute of Food Safety and Analytical Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland;Nestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland;

关键词: human milk oligosaccharides;    child development;    longitudinal modeling;    cluster analyses;    statistical methodologies;    infant nutrition (including breastfeeding);   

DOI  :  10.3389/fnut.2023.1239349

 received in 2023-06-14, accepted in 2023-09-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundBreast milk is the recommended source of nutrients for newborns and infants. Human milk oligosaccharides (HMO) are the third most abundant solid component in human milk and their composition varies during lactation.ObjectivesOur objective was to investigate longitudinal and cross-sectional changes in HMO composition and whether these changes were associated with infant growth up to 24 months of age. Associations with maternal characteristics were also investigated.Methods24 HMOs were quantified in samples taken at 2 weeks (n = 107), 6 weeks (n = 97) and 3 months (n = 76), using high performance liquid chromatography. Body length, weight, and head circumference were measured at 8 timepoints, until 24 months. Clusters of breast milk samples, reflecting different HMO profiles, were found through a data-driven approach. Longitudinal associations were investigated using functional principal component analysis (FPCA) and used to characterize patterns in the growth trajectories.ResultsFour clusters of samples with similar HMO composition were derived. Two patterns of growth were identified for length, body weight and head circumference via the FPCA approach, explaining more than 90% of the variance. The first pattern measured general growth while the second corresponded to an initial reduced velocity followed by an increased velocity (“higher velocity”). Higher velocity for weight and height was significantly associated with negative Lewis status. Concentrations of 3’GL, 3FL, 6’GL, DSNLT, LNFP-II, LNFP-III, LNT, LSTb were negatively associated with higher velocity for length.ConclusionWe introduced novel statistical approaches to establish longitudinal associations between HMOs evolution and growth. Based on our approach we propose that HMOs may act synergistically on children growth. A possible causal relationship should be further tested in pre-clinical and clinical setting.

【 授权许可】

Unknown   
Copyright © 2023 Mainardi, Binia, Rajhans, Austin, Deoni and Schneider.

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