Modelling the temporal trajectories of human milk components

BMC Pregnancy Childbirth. 2024 Nov 11;24(1):739. doi: 10.1186/s12884-024-06896-z.

Abstract

Background: This paper demonstrates how available data can be explored and utilized to conclude generic patterns in the temporal changes in Human Milk (HM) composition.

Methods: The temporal trajectories of selected human milk components (HMC-s) were described, in the first four months postpartum, by a primary model consisting of two phases: a short linear phase in the colostrum, triggered by the parturition; and a longer second phase, where the concentration of the component converges to a steady state. The model was fitted to data available in a recently published database of temporal HMC trajectories both at the levels of individual molecules (such as specific fatty acid, oligosaccharide, and mineral molecules) and molecule-groups (such as total protein, total fat).

Results: The properties of the trajectories suggest that experimental designs should follow non-equidistant sampling times, with increasingly longer time intervals after the first week postpartum. A selected parameter, the final stationary level, of the primary model was then studied as a function of geographical location (secondary modelling).

Conclusions: We found that the total variation of the concentration of specific HMC-s is dominantly due to the inherent biological differences between individual mothers and to less extent to the geographical location.

Keywords: Error estimation; Food composition; Human Milk; Longitudinal data; Predictive modelling; Saturation model.

MeSH terms

  • Colostrum* / chemistry
  • Fatty Acids / analysis
  • Female
  • Humans
  • Lactation
  • Milk Proteins / analysis
  • Milk, Human* / chemistry
  • Models, Biological
  • Oligosaccharides / analysis
  • Postpartum Period*
  • Time Factors

Substances

  • Fatty Acids
  • Oligosaccharides
  • Milk Proteins