CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Profiles of human milk oligosaccharides and their relations to the milk microbiota of breastfeeding mothers in Dubai
Authors
Maryam Lootah
Carole Ayoub Moubareck
Muna Tahlak
Koen Venema
Publication date
1 June 2020
Publisher
ZU Scholars
Abstract
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The composition of human breast milk is affected by several factors, including genetics, geographic location and maternal nutrition. This study investigated the human milk oligosaccharides (HMOs) of breastfeeding mothers living in Dubai and their relations with the milk microbiota. A total of 30 breast milk samples were collected from healthy Emirati and UAE-expatriates at Latifa Hospital. HMO profiling was performed using UHPLC-MS. Microbiota profiles were determined by sequencing amplicons of the V3-V4 region of the 16S rRNA gene. HMO concentrations were significantly higher in Emirati, and dropped with the lactation period in both groups of mothers. The Le (a− b+)-secretor (Le+ Se+) type was the most abundant in Dubai mothers (60%), followed by the Le(a− b−)-secretor (Le− Se+) type (23%). Bifidobacterium and Lactobacillus were considerably lower in Dubai-based mothers, while Pseudomonas and Delftia (Hydrogenophaga) were detected at a higher abundance compared to mothers from other countries. Atopobium was correlated with sialyl-lacto-N-tetraose c, Leptotrichia and Veillonella were correlated with 6’-sialyl-lactose, and Porphyromonas was correlated with lacto-N-hexaose. The study highlights the HMO profiles of breastfeeding mothers in Dubai and reveals few correlations with milk microbial composition. Targeted genomic analyses may help in determining whether these differences are due to genetic variations or to sociocultural and environmental factors
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
ZU Scholars (Zayed University)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:zuscholars.zu.ac.ae:works-...
Last time updated on 03/12/2021