Development of gut microbiota and metabolic changes in preterm babies
File(s)
Author(s)
Przysiezna, Natalia
Type
Thesis
Abstract
Gut microbiota are an important component of the human organism, contributing to metabolism and
believed to play a role in the maintenance of health. Preterm babies are exposed to different early life
interventions than full-term ones. They are exposed to prolonged courses of antibiotics and often fed
parenterally, with delayed or limited enteral nutrition intake.
The aim of this research was to assess how early life interventions (type of parenteral nutrition, type
of milk, mode of delivery) and other factors (gestational age at birth, postnatal age, sex of the baby)
affect the development of gut microbiota and the consequent metabolic impact in preterm babies.
Two thousand stool and urine samples were collected from 160 babies. Gut microbiota were identified
by 16S rRNA gene sequencing, while the activity of bacteria was assessed by metabolic profiling
using 1H NMR. A new DNA and faecal water extraction method was developed and validated.
Metabolic differences in stool and urine in relation to early life interventions were observed. Higher
postnatal age was associated with vit. B5 and vit. B1, while lower was associated with increased bile
acids and sugars. Increasing GA was correlated with higher concentration of GABA and glutamate.
Breast-fed babies had higher concentration of lactose than formula-fed ones. There was no metabolic
difference in relation to mode of delivery or sex of the baby. Microbial profiles were mostly affected
by route of nutrition (oral – more Staphylococcaceae, intravenous – more Enterobacteriaceae), type
of milk (breast milk – more Enterobacteraceae) and mode of delivery (Caesarean section – more
Staphylococcus and Clostridium). The most abundant phylum was Proteobacteria. Average
abundance of Bifidobacteria was 10%.
Those results contribute to current understanding of the establishment of gut microbiota in preterm
babies. Future work should focus on repeating the analysis on a larger sample set from a trial designed
for this purpose.
believed to play a role in the maintenance of health. Preterm babies are exposed to different early life
interventions than full-term ones. They are exposed to prolonged courses of antibiotics and often fed
parenterally, with delayed or limited enteral nutrition intake.
The aim of this research was to assess how early life interventions (type of parenteral nutrition, type
of milk, mode of delivery) and other factors (gestational age at birth, postnatal age, sex of the baby)
affect the development of gut microbiota and the consequent metabolic impact in preterm babies.
Two thousand stool and urine samples were collected from 160 babies. Gut microbiota were identified
by 16S rRNA gene sequencing, while the activity of bacteria was assessed by metabolic profiling
using 1H NMR. A new DNA and faecal water extraction method was developed and validated.
Metabolic differences in stool and urine in relation to early life interventions were observed. Higher
postnatal age was associated with vit. B5 and vit. B1, while lower was associated with increased bile
acids and sugars. Increasing GA was correlated with higher concentration of GABA and glutamate.
Breast-fed babies had higher concentration of lactose than formula-fed ones. There was no metabolic
difference in relation to mode of delivery or sex of the baby. Microbial profiles were mostly affected
by route of nutrition (oral – more Staphylococcaceae, intravenous – more Enterobacteriaceae), type
of milk (breast milk – more Enterobacteraceae) and mode of delivery (Caesarean section – more
Staphylococcus and Clostridium). The most abundant phylum was Proteobacteria. Average
abundance of Bifidobacteria was 10%.
Those results contribute to current understanding of the establishment of gut microbiota in preterm
babies. Future work should focus on repeating the analysis on a larger sample set from a trial designed
for this purpose.
Version
Open Access
Date Issued
2015-09
Date Awarded
2016-02
Copyright Statement
Attribution NoDerivatives 4.0 International Licence (CC BY-ND)
Advisor
Modi, Neena
Marchesi, Julian
Sponsor
Imperial College Healthcare NHS Trust
Publisher Department
Department of Medicine
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)