Maternal weight status and the composition of the human milk microbiome: A scoping review.
Katherine DaiyVictoria HarriesKate NyhanUrszula M MarcinkowskaPublished in: PloS one (2022)
The human milk microbiome is thought to partly contribute to the assembly of the infant gut microbiome, a microbial community with important implications for infant health and development. While obesity has well-established links with the adult gut microbiome, less is known about how it affects the human milk microbiome. In this scoping review, we synthesize the current literature on the microbial composition of human milk by maternal weight status, defined broadly as BMI (prepregnancy and postpartum) and gestational weight gain (GWG). This study followed the a priori protocol published in Prospero (registration #: CRD42020165633). We searched the following databases for studies reporting maternal weight status and a characterization of milk microbiota through culture-dependent and culture-independent methods: MEDLINE, Embase, Web of Science, CINAHL, and Scopus. After screening 6,365 studies, we found 20 longitudinal and cross-sectional studies investigating associations between maternal weight status and the composition of the milk microbiome. While some studies reported no associations, many others reported that women with a pre-pregnancy or postpartum BMI characterized as overweight or obese, or with excessive GWG, had higher abundances of the genus Staphylococcus, lower Bifidobacterium abundance, and lower alpha diversity (within-sample diversity). This review suggests that maternal weight status is minorly associated with the composition of the milk microbiome in various ways. We offer potential explanations for these findings, as well as suggestions for future research.
Keyphrases
- weight gain
- human milk
- birth weight
- body mass index
- low birth weight
- microbial community
- weight loss
- cross sectional
- pregnancy outcomes
- preterm birth
- preterm infants
- case control
- public health
- bariatric surgery
- healthcare
- antibiotic resistance genes
- type diabetes
- systematic review
- metabolic syndrome
- mental health
- physical activity
- escherichia coli
- pregnant women
- social media
- health information
- machine learning
- human health
- gestational age
- current status