Frontiers in Nutrition (Oct 2023)

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

  • Fabio Mainardi,
  • Aristea Binia,
  • Purva Rajhans,
  • Sean Austin,
  • Sean Deoni,
  • Sean Deoni,
  • Sean Deoni,
  • Nora Schneider

DOI
https://doi.org/10.3389/fnut.2023.1239349
Journal volume & issue
Vol. 10

Abstract

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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.

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