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Updated: Jul 15, 2026
09:09
A Method for Targeted 16S Sequencing of Human Milk Samples
Published on: March 23, 2018
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Modelling the temporal trajectories of human milk components
József Baranyi1, Tünde Pacza2, Mayara L Martins2
1Institute of Nutrition Science, Faculty of Agriculture, Food Sciences and Environmental Management, University of Debrecen, 138 Böszörményi Str, Debrecen, Hungary. baranyi.jozsef@med.unideb.hu.
BMC Pregnancy and Childbirth
|November 11, 2024
Summary
Human milk composition changes over time, with individual mother
Area of Science:
- Human Milk Composition Analysis
- Postpartum Nutritional Science
- Infant Nutrition Research
Background:
- Available data can reveal patterns in human milk (HM) composition over time.
- Understanding temporal changes in HM is crucial for infant health and nutrition.
Purpose of the Study:
- To model and analyze the temporal trajectories of selected human milk components (HMC-s) in the first four months postpartum.
- To investigate the influence of geographical location on HMC-s stationary levels.
Main Methods:
- Developed a two-phase primary model to describe HMC-s temporal changes from colostrum to steady state.
- Fitted the model to a database of individual HMC trajectories (molecules and molecule-groups).
- Conducted secondary modeling to assess the impact of geographical location on HMC stationary levels.
Main Results:
- Identified optimal non-equidistant sampling times for experimental designs, with longer intervals post-first week postpartum.
- The final stationary level of HMC-s was analyzed in relation to geographical location.
Conclusions:
- Individual biological differences between mothers are the primary driver of HMC-s concentration variation.
- Geographical location has a lesser impact on HMC-s concentration compared to individual maternal factors.
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