View clinical trials related to Breast Milk Collection.
Filter by:The study aims to recruit eligible participants and conduct interviews, collect human milk samples, and conduct laboratory analysis of persistent organic pollutants' levels in human milk samples.
The biochemical differences in the composition of breast milk and formula have not been profoundly established in all compound groups. Increased understanding of breast milk composition, the normal variation of various bioactive compounds and their levels is required to be able to develop formulas better corresponding the breast milk, and ensure the optimal development of also the formula-fed babies.
Collect breast milk samples in various administrative regions of China to measure the nutrients in breast milk; analyze the composition of nutrients; and establish the database of breast milk in China.
This study will quantify lipid peroxidation products (malondialdehyde, 4 hydroxy-2-nonenal, hexanal, and 8-iso-PGF2α), fatty acid content, and antioxidant capacity in donor human milk sampled from two neonatal units in the UK. Comparison will be made to preterm transitional/mature milk and term mature milk.
It is well-known that breastfeeding protects infants from illness, especially in the poorest regions of the world. The full nature of this protective effect, however, is less well understood. A major barrier to understanding is the fact that almost nothing is known about the factors that influence the considerable variation in milk composition around the globe, or about the effects of this variation on infant health. This INSPIRE project represents the first comprehensive investigation of the global differences in human milk composition along with the various microbial, evolutionary, environmental, and sociocultural factors that might influence both milk composition and infant health. An international, interdisciplinary collaboration of physiologists, nutritional scientists, anthropologists, microbiologists, and mathematicians will collect biological data from breastfeeding women and their infants, in concert with extensive anthropologic and ecological data, in both developed (US, Spain, Sweden) and developing countries (Central African Republic, Gambia, Ghana, Peru, and Kenya). To test the possibility of a correlation between milk oligosaccharide composition, milk microbiota, and the gastrointestinal microbiome of infants, milk samples and infant fecal samples will be analyzed using state-of-the-art biochemical and genomic techniques. This study will allow important cross-cultural comparisons of milk composition and infant feeding practices; it also will utilize sophisticated computational methods to integrate the extensive, diverse body of combined biological and anthropological data to elucidate the relationships among sociocultural factors, evolutionary history, environmental exposures, microbial constituents and milk composition. The researchers predict that what is considered "normal" milk composition in one population may not support optimal health in another. This information is crucial to the humanitarian quest to understand how infant nutrition and overall health can be improved around the world. In addition, this project will provide extensive research training opportunities for undergraduate, graduate and postdoctoral scientists.
The study will collect human milk from 100 mother of term infants 2-3m after delivery and from 50 mothers of preterm infants 14 and 30 days after delivery. Sample content will be analysed and statistical analysis will look at correlation between demographics, dietary habits and milk composition.
The purpose of this study is to explore the effect maternal obesity and breastfeeding play on infant body composition. The investigators hypothesize in the first 6 months of life breast fed offspring from overweight / obese mothers will be fatter with greater trunk fat mass and accumulate fat at a greater rate than breast fed infants from normal weight mothers. Furthermore, the investigators postulate that circulating maternal milk adipocytokines will positively correlate to total fat mass at six months of age.