Amabebe, E. orcid.org/0000-0002-3924-5270, Reynolds, S. orcid.org/0000-0002-6463-8471 and Anumba, D.O.C. orcid.org/0000-0003-2502-3033 (2021) Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance. Reproduction and Fertility, 2 (4). L4-L6. ISSN 2633-8386
Abstract
Health-promoting bacteria (lactobacilli) exist in harmony with the vaginal environment. They are the predominant vaginal bacterial species during pregnancy. However, the possibility of infection and inappropriate immune response are linked with unprompted preterm delivery (PTD). Other invasive lactobacilli can alter the chemical environment of the vagina as they seek to promote their growth. This study measured the change in concentration of biochemical compounds and predominant bacterial species in vaginal fluid that are linked to PTD. The study recruited 300 healthy pregnant women who provided vaginal fluid samples during the second trimester. The women who harboured more of Lactobacillus jensenii over Lactobacillus crispatus (both reported as health-promoting bacteria) in their vaginal fluid had less lactate and glutamate and experienced more PTD. This suggests that lactate and glutamate levels in vaginal fluid may have clinical application in identifying which Lactobacillus species is most active. These chemical biomarkers could provide quick and accurate prediction of PTD risk in clinical settings.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © The authors 2021. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | preterm delivery; vaginal microbiota; microbiota community state type; lactobacilli; 1H-NMR; metabolomics |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Mar 2022 14:52 |
Last Modified: | 23 Mar 2022 14:52 |
Status: | Published |
Publisher: | Bioscientifica |
Refereed: | Yes |
Identification Number: | 10.1530/raf-21-0065 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184939 |