Abstract

This study explores the role of the vaginal microbiota (VM) in the pathophysiology of asymptomatic bacteriuria (ASB) in a cohort of 1,553 pregnant women. Worldwide, E. coli remains the most common etiological agent of bacteriuria during pregnancy and also a major causative agent of newborn infections. A healthy VM is typically characterized by low diversity and is dominated by lactic acid-producing species, notably those from the Lactobacillus genus. Our results point to decreases in Lactobacillus spp associated with an increase of gut-microbiota-associated species from the Enterobacterales order. Escherichia coli exhibited the most pronounced increase in abundance within the VM during bacteriuria and was notably associated with ASB. Molecular typing and antimicrobial resistance characterization of 72 metagenome assembled E. coli genomes (MAGs) from these pregnant women revealed a genomic signature of extraintestinal pathogenic E. coli (“ExPEC”) strains, which are involved in various extraintestinal infections such as urinary tract infections, newborn infections and bacteremia. Microbial diversity within the vaginal samples from which an E. coli MAG was obtained showed a substantial variation, primarily marked by a decrease in abundance of Lactobacillus species. Overall, our study shows how disruption in key bacterial group within the VM can disrupt its stability, potentially leading to the colonization by opportunistic pathogens.

Details

Title
Urogenital colonization and pathogenicity of E. Coli in the vaginal microbiota during pregnancy
Author
Boutouchent, Nassim 1 ; Vu, Thi Ngoc Anh 2 ; Landraud, Luce 3 ; Kennedy, Sean P. 4 

 Université Paris Cité, Department of Computational Biology, Institut Pasteur, Paris, France (GRID:grid.508487.6) (ISNI:0000 0004 7885 7602); CHU de Rouen, Département de Microbiologie, Rouen, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231) 
 Vietnam National University, VNU-Institute of Microbiology and Biotechnology, Hanoi, Vietnam (GRID:grid.267852.c) (ISNI:0000 0004 0637 2083) 
 Université Paris Cité and Université Sorbonne Paris Nord, INSERM, IAME, Paris, France (GRID:grid.7429.8) (ISNI:0000 0001 2186 6389) 
 Université Paris Cité, Department of Computational Biology, Institut Pasteur, Paris, France (GRID:grid.508487.6) (ISNI:0000 0004 7885 7602) 
Pages
25523
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3121050662
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.