Oligosaccharides and Microbiota in Human Milk Are Interrelated at 3 Months Postpartum in a Cohort of Women with a High Prevalence of Gestational Impaired Glucose Tolerance

Author:

LeMay-Nedjelski Lauren12,Yonemitsu Chloe3,Asbury Michelle R12,Butcher James4,Ley Sylvia H5,Hanley Anthony J1,Kiss Alex6,Unger Sharon12789,Copeland Julia K10,Wang Pauline W10,Stintzi Alain4,Bode Lars3ORCID,O'Connor Deborah L12ORCID

Affiliation:

1. Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada

2. Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada

3. Department of Pediatrics and Mother-Milk-Infant Center of Research Excellence (MOMI CORE), University of California, San Diego, La Jolla, CA, USA

4. Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Ontario, Canada

5. Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA

6. Department of Research Design and Biostatistics, Sunnybrook Research Institute, Toronto, Ontario, Canada

7. Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada

8. Department of Pediatrics, Sinai Health, Toronto, Ontario, Canada

9. Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada

10. Centre for the Analysis of Genome Evolution and Function, University of Toronto, Ontario, Canada

Abstract

ABSTRACT Background Human milk is a rich source of human milk oligosaccharides (HMOs) and bacteria. It is unclear how these components interact within the breast microenvironment. Objectives The objectives were first, to investigate the association between maternal characteristics and HMOs, and second, to assess the association between HMOs and microbial community composition and predicted function in milk from women with high rates of gestational glucose intolerance. Methods This was an exploratory analysis of a previously completed prospective cohort study (NCT01405547) where milk samples (n = 107) were collected at 3 mo postpartum. Milk microbiota composition was analyzed by V4-16S ribosomal RNA gene sequencing and HMOs by rapid high-throughput HPLC. Data were stratified and analyzed by maternal secretor status phenotype and associations between HMOs and microbiota were determined using linear regression models (ɑ-diversity), Adonis (B-diversity), Poisson regression models (differential abundance), and general linear models (predicted microbial function). Results Prepregnancy BMI, race, and frequency of direct breastfeeding, but not gestational glucose intolerance, were found to be significantly associated with a number of HMOs among secretors and non-secretors. Fucosyllacto-N-hexaose was negatively associated with microbial richness (Chao1) among secretors [B-estimate (SE): −9.3 × 102 (3.4 × 102); P = 0.0082] and difucosyllacto-N-hexaose was negatively associated with microbiota diversity (Shannon index) [−1.7 (0.78); P = 0.029] among secretors. Lacto-N-neotetraose (LNnT) was associated with both microbial B-diversity (weighted UniFrac R2 = 0.040, P = 0.036) and KEGG ortholog B-diversity (Bray-Curtis R2 = 0.039, P = 0.043) in secretors. Additionally, difucosyllactose in secretors and disialyllacto-N-hexaose and LNnT in non-secretors were associated with enrichment of predicted microbial genes encoding for metabolism- and infection-related pathways (P-false discovery rate < 0.1). Conclusions HMOs are associated with the microbial composition and predicted microbial functions in human milk at 3 mo postpartum. Further research is needed to investigate the role these relations play in maternal and infant health.

Funder

Canadian Institutes of Health Research

Canadian Diabetes Association

National Institute of General Medical Sciences

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

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