Composition and Variation of the Human Milk Microbiota Are Influenced by Maternal and Early-Life Factors

Shirin Moossavi, Shadi Sepehri, Bianca Robertson, Lars Bode, Sue Goruk, Catherine J Field, Lisa M Lix, Russell J de Souza, Allan B Becker, Piushkumar J Mandhane, Stuart E Turvey, Padmaja Subbarao, Theo J Moraes, Diana L Lefebvre, Malcolm R Sears, Ehsan Khafipour, Meghan B Azad, Shirin Moossavi, Shadi Sepehri, Bianca Robertson, Lars Bode, Sue Goruk, Catherine J Field, Lisa M Lix, Russell J de Souza, Allan B Becker, Piushkumar J Mandhane, Stuart E Turvey, Padmaja Subbarao, Theo J Moraes, Diana L Lefebvre, Malcolm R Sears, Ehsan Khafipour, Meghan B Azad

Abstract

Breastmilk contains a complex community of bacteria that may help seed the infant gut microbiota. The composition and determinants of milk microbiota are poorly understood. Among 393 mother-infant dyads from the CHILD cohort, we found that milk microbiota at 3-4 months postpartum was dominated by inversely correlated Proteobacteria and Firmicutes, and exhibited discrete compositional patterns. Milk microbiota composition and diversity were associated with maternal factors (BMI, parity, and mode of delivery), breastfeeding practices, and other milk components in a sex-specific manner. Causal modeling identified mode of breastfeeding as a key determinant of milk microbiota composition. Specifically, providing pumped breastmilk was consistently associated with multiple microbiota parameters including enrichment of potential pathogens and depletion of bifidobacteria. Further, these data support the retrograde inoculation hypothesis, whereby the infant oral cavity impacts the milk microbiota. Collectively, these results identify features and determinants of human milk microbiota composition, with potential implications for infant health and development.

Keywords: CHILD Study; breastfeeding; breastmilk; human milk; infant; microbiome; microbiota; mode of breastfeeding; nutrition.

Copyright © 2019 Elsevier Inc. All rights reserved.

References

429 Too Many Requests

Your access to the NCBI website at pubmed.ncbi.nlm.nih.gov has been temporarily blocked due to possible misuse.

This is not an indication of a security issue such as a virus or attack.

If you are executing automated queries or otherwise scripting against the PubMed website, please review how to use E-utilities,

The Entrez Programming Utilities (E-utilities) are a set of nine server-side programs that provide a stable interface into the Entrez query and database system at the National Center for Biotechnology Information (NCBI)

If you have further questions, please contact info@ncbi.nlm.nih.gov.

Source: PubMed

Подписаться