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| Name | Class |
|---|---|
| University of Copenhagen | OTHER |
| Arla Foods | INDUSTRY |
| Aarhus University Hospital | OTHER |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Maternal pre-gestational BMI 18.5<25 | |||
| Maternal pre-gestational BMI 25<30 | |||
| Maternal pre-gestational BMI >30 |
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| Measure | Description | Time Frame |
|---|---|---|
| Metabolite profile of human milk | 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. | Birth to 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Metabolite profile of human milk by Liquid Chromatography-Mass Spectrometry (LC-MS) analysis | 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. |
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Inclusion Criteria related to mother:
Exclusion Criteria related to mother:
Inclusion Criteria related to infant:
Exclusion Criteria related to infant:
• Inborn errors of metabolism
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Residence in Aarhus area is necessary and Aarhus University Hospital has to be the place of giving birth. This is due to samples being collected by midwifes during labor and when study personnel collect samples in study participants' homes.
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| Name | Affiliation | Role |
|---|---|---|
| Ulrik K Sundekilde, PhD | University of Aarhus | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Aarhus University | Aarhus | 8200 | Denmark |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36323479 | Background | Overgaard Poulsen K, Astono J, Jakobsen RR, Uldbjerg N, Fuglsang J, Nielsen DS, Sundekilde UK. Influence of maternal body mass index on human milk composition and associations to infant metabolism and gut colonisation: MAINHEALTH - a study protocol for an observational birth cohort. BMJ Open. 2022 Nov 2;12(11):e059552. doi: 10.1136/bmjopen-2021-059552. |
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| ID | Term |
|---|---|
| D061186 | Breast Milk Expression |
| ID | Term |
|---|---|
| D001942 | Breast Feeding |
| D005247 | Feeding Behavior |
| D001519 | Behavior |
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Blood sample (mother, Gestational age (GA) week 20-24) Vaginal swap (Copan Eswab; mother at birth) Rectum swap (Copan Eswab; mother at birth) Breast milk (3, 30, 60, 90 days postpartum) Urine (infant; 30, 60, 90 days postpartum) Feces (infant; 30, 60, 90 days and 1, 2, 3, 4, and 5 years postpartum) Saliva (Copan Eswab; infant 30 days postpartum) Breast skin (Copan Eswab; mother 30 days postpartum)
| Birth to 3 months |
| Milk proteome profile | Human milk proteome by LC-MS-based, bottom-up proteomics. Data will be analysed as relative abundances of milk proteins. | Birth to 3 months |
| Milk protein post-translational modification (PTM) profile | 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. | Birth to 3 months |
| Milk glycome profile | Human milk glycome by LC-MS-based glycomics. Data will be analysed as relative abundances of milk glycans. | Birth to 3 months |
| Microbial structure of human milk | Human milk microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels. | Birth to 3 months |
| Microbial structure of infant feces | Infant fecal microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels. | Birth to 5 years of age |
| Microbial structure of infant oral cavity | Oral cavity microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels. | 30 days postpartum |
| Microbial structure of mother's skin microbiome | Skin microbiome by nanopore sequencing. Data will be analysed as relative abundances of bacteria from phylum to genus levels. | 30 days postpartum |
| Metabolite profile of infant fecal material | Infant fecal metabolome by NMR-based metabolomics. Data will be analysed as absolute concentrations of fecal metabolites | Birth to 5 years of age |
| Infant metabolism investigated by infant urine metabolomics | Infant urine metabolome by NMR-based metabolomics. Data will be analysed as absolute concentrations of urine metabolites | Birth to 3 months of age |
| Microbial structure of maternal vagina and rectum to investigate vertical transmission of bacteria to infant 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. | During birth |
| Mother's 24-h dietary recall (myfood24) | Aggregated nutrient intake data (e.g. proteins, vitamins, fibers, omega-3-fatty acids) | 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). |