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
| Autor: | Lauren LeMay-Nedjelski, James Butcher, Lars Bode, Sharon Unger, Michelle R Asbury, Julia K. Copeland, Deborah L O'Connor, Alain Stintzi, Alex Kiss, Pauline W. Wang, Sylvia H. Ley, Chloe Yonemitsu, Anthony J. Hanley |
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| Rok vydání: | 2021 |
| Předmět: |
Nutrition and Disease
human milk microbiota breastfeeding 030309 nutrition & dietetics Breastfeeding microbiome Oligosaccharides Medicine (miscellaneous) Physiology lactation Biology Cohort Studies Impaired glucose tolerance AcademicSubjects/MED00060 03 medical and health sciences fluids and secretions Lactation Glucose Intolerance Prevalence medicine Humans Prospective Studies Microbiome Prospective cohort study 030304 developmental biology 2. Zero hunger 0303 health sciences Nutrition and Dietetics Milk Human Microbiota Postpartum Period secretor status human milk maternal BMI medicine.disease gestational glucose intolerance Gestational diabetes Breast Feeding medicine.anatomical_structure Cohort AcademicSubjects/SCI00960 human milk oligosaccharides Female gestational diabetes Postpartum period |
| Zdroj: | The Journal of Nutrition |
| ISSN: | 0022-3166 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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