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Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance
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 lacto...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788584/ https://www.ncbi.nlm.nih.gov/pubmed/35118412 http://dx.doi.org/10.1530/RAF-21-0065 |
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author | Amabebe, Emmanuel Reynolds, Steven Anumba, Dilly O C |
author_facet | Amabebe, Emmanuel Reynolds, Steven Anumba, Dilly O C |
author_sort | Amabebe, Emmanuel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8788584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-87885842022-02-02 Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance Amabebe, Emmanuel Reynolds, Steven Anumba, Dilly O C Reprod Fertil Research Letter 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. Bioscientifica Ltd 2021-11-04 /pmc/articles/PMC8788584/ /pubmed/35118412 http://dx.doi.org/10.1530/RAF-21-0065 Text en © The authors https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Letter Amabebe, Emmanuel Reynolds, Steven Anumba, Dilly O C Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title | Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title_full | Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title_fullStr | Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title_full_unstemmed | Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title_short | Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance |
title_sort | spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and lactobacillus species dominance |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788584/ https://www.ncbi.nlm.nih.gov/pubmed/35118412 http://dx.doi.org/10.1530/RAF-21-0065 |
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