Aarhus University
Aarhus, 8200, Denmark
NCT Number: NCT05111990
This protocol explains the MAINHEALTH cohort. The study examine the influence of maternal health parameters on human breast milk composition and integrates milk phenotype with infant metabolism and infant gut microbial content and metabolism.
This study is active but is not currently recruiting participants.
Notify MeFemale
Observational
Aarhus, 8200, Denmark
The birth of a living human being is the result of an approximately nine-month pregnancy in which the developing foetus has taken exactly the building blocks necessary to grow and develop from its mother. However, growth and development continues in multiple dimensions at an increasing pace after birth. The nutrition in the first 1,000 days from conception to the child's 2nd birthday plays a pivotal role in shaping the future health of the child. Yet, little is known of how breast milk components vary due to maternal factors or of the biological mechanisms behind the beneficial actions of many breast milk nutrients. The investigators propose to overcome these obstacles by combining specialties to give a more complete account of what breast milk is (major and minor milk constituents and microbiota), how it affects the infants directly or indirectly through breast milk-gut microbiome interactions and by which mechanisms. In this study longitudinal samples from 200 mother-infant dyads during the first year of life across three groups of pregestational maternal BMI; normal weight (BMI 18.5-24.99), overweight (BMI 25-30), and obese (BMI >30) are collected. The samples give a comprehensive record of what the infant has ingested (milk samples) and how the infant and infant gut microbiome responds to this (infant urine and feces). Maternal diet in pregnancy and at milk sample deliveries are recorded through a 24h online food recall and diary system. Maternal health attributes will, besides BMI, be analysed through clinical blood biochemistry parameters. Follow-up samples and infant dietary intake as the infant grows allow investigating how early life diet shaped infant growth and gut colonization more long term. The investigators have formed an experienced team of scientists within metabolomics, microbiology and medicine, holding leading positions within their respective fields in Denmark. The novelty in the study is the interdisciplinarity, unique study design and the emphasis to integrate a number of dynamic measurements thereby offering the ability to identify the factors in breast milk affecting infant metabolism and gut colonization. Knowing this enable the optimization of infant formula.
The research questions asked in this project are three-fold.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
related to mother:
Exclusion criteria
related to mother:
Inclusion criteria
related to infant:
Exclusion criteria
related to infant:
Time frame: Birth to 3 months
Human milk metabolites by Nuclear Magnetic Resonance (NMR) spectroscopy. Data will be analysed as absolute concentrations of milk metabolites; how milk metabolite profiles are related to mother's blood chemistry, milk microbial profiles, milk oligosaccharides, infant urine metabolome, and infant fecal microbiomes will be explored using multivariate analyses.
Time frame: Birth to 3 months
Human milk metabolites by LC-MS-based metabolomics. Data will be analysed as absolute concentrations of milk metabolites; how milk metabolite profiles are related to milk microbial profiles, milk oligosaccharides, infant urine metabolome, and infant fecal microbiomes will be explored using multivariate analyses.
Time frame: Birth to 3 months
Human milk proteome by LC-MS-based, bottom-up proteomics. Data will be analysed as relative abundances of milk proteins.
Time frame: Birth to 3 months
Post-translational modifications of human milk proteins is analysed by LC-MS-based and 2D- gel-based proteomics. Data will be analysed as relative abundances of milk protein PTMs.
Time frame: Birth to 3 months
Human milk glycome by LC-MS-based glycomics. Data will be analysed as relative abundances of milk glycans.
Time frame: Birth to 3 months
Human milk microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels.
Time frame: Birth to 5 years of age
Infant fecal microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels.
Time frame: 30 days postpartum
Oral cavity microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels.
Time frame: 30 days postpartum
Skin microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels.
Time frame: Birth to 5 years of age
Infant fecal metabolome by NMR-based metabolomics. Data will be analysed as absolute concentrations of fecal metabolites
Time frame: Birth to 3 months of age
Infant urine metabolome by NMR-based metabolomics. Data will be analysed as absolute concentrations of urine metabolites
Time frame: During birth
Vertical transmission of microbiome from mother to infant. Vaginal and rectal microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels.
Time frame: During pregnancy (Gestational age 30), 30, 60, and 90 days postpartum. In each case two times within a week (one weekday and one weekend day).
Aggregated nutrient intake data (e.g. proteins, vitamins, fibers, omega-3-fatty acids)
University of Aarhus
Other
The Influence of Maternal Health on Human Breast Milk Composition With Potential Downstream Effects on Infant Metabolism and Gut Colonization
Acronym: MAINHEALTH
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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