ArticleBMJ open2022
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.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05111990 (The Influence of Maternal Health on Human Breast Milk Composition With Potential Downstream Effects on Infant Metabolism and Gut Colonization), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Influence of Maternal Health on Human Breast Milk Composition With Potential Downstream Effects on Infant Metabolism and Gut Colonization
Who cites it
7 citing papers in PubMed.
- The human breast milk microbiome: a landscape review of its composition, origins, and impact on infant health.Archives of microbiology · 2026Review
- Global protein profiling of human milk using pre-enriched RNA-sequence libraries.Scientific reports · 2026Article
- Article
- Implementation of multiomic mass spectrometry approaches for the evaluation of human health following environmental exposure.Molecular omics · 2024Review
- Metabolic maturation in the infant urine during the first 3 months of life.Scientific reports · 2024Article
- Human milk oligosaccharide profiles remain unaffected by maternal pre-pregnancy body mass index in an observational study.Frontiers in nutrition · 2024Article
- Fingerprinting of Proteases, Protease Inhibitors and Indigenous Peptides in Human Milk.Nutrients · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHuman milk provides all macronutrients for growth, bioactive compounds, micro-organisms and immunological components, which potentially interacts with and primes infant growth and, development, immune responses and the gut microbiota of the new-born. Infants with an overweight mother are more likely to become overweight later in life and overweight has been related to the gut microbiome. Therefore, it is important to investigate the mother-milk-infant triad as a biological system and if the maternal weight status influences the human milk composition, infant metabolism and gut microbiome. METHODS AND ANALYSIS: This study aims to include 200 mother-infant dyads stratified into one of three body mass index (BMI) categories based on mother's prepregnancy BMI. Multiomics analyses include metabolomics, proteomics, glycomics and microbiomics methods, aiming to characterise human milk from the mothers and further relate the composition to infant gut microbiota and its metabolic impact in the infant. Infant gut microbiota is analysed using 16S sequencing of faeces samples. Nuclear magnetic resonance and mass spectrometry are used for the remaining omics analysis. We investigate whether maternal pre-pregnancy BMI results in a distinct human milk composition that potentially affects the initial priming of the infant's gut environment and metabolism early in life. ETHICS AND DISSEMINATION: The Central Denmark Region Committees on Health Research Ethics has approved the protocol (J-nr. 1-10-72-296-18). All participants have before inclusion signed informed consent and deputy informed consent in accordance with the Declaration of Helsinki II. Results will be disseminated to health professionals including paediatricians, research community, nutritional policymakers, industry and finally the public. The scientific community will be informed via peer-reviewed publications and presentations at scientific conferences, the industry will be invited for meetings, and the public will be informed via reports in science magazines and the general press. Data cleared for personal data, will be deposited at public data repositories. TRIAL REGISTRATION NUMBER: Danish regional committee of the Central Jutland Region, journal number: 1-10-72-296-18, version 6.Danish Data Protection Agency, journal number: 2016-051-000001, 1304. CLINICALTRIALS: gov, identifier: NCT05111990.
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