Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis

Abstract Background The composition of the vaginal microbiota is closely linked to adverse sexual and reproductive health outcomes, due in part to effects on genital immunology. Compositional approaches such as metagenomic sequencing provide a snapshot of all bacteria in a sample and have become the...

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Main Authors: Eric Armstrong, Rachel Liu, James Pollock, Sanja Huibner, Suji Udayakumar, Erastus Irungu, Pauline Ngurukiri, Peter Muthoga, Wendy Adhiambo, Sergey Yegorov, Joshua Kimani, Tara Beattie, Bryan Coburn, Rupert Kaul
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Microbiome
Online Access:https://doi.org/10.1186/s40168-025-02039-4
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author Eric Armstrong
Rachel Liu
James Pollock
Sanja Huibner
Suji Udayakumar
Erastus Irungu
Pauline Ngurukiri
Peter Muthoga
Wendy Adhiambo
Sergey Yegorov
Joshua Kimani
Tara Beattie
Bryan Coburn
Rupert Kaul
author_facet Eric Armstrong
Rachel Liu
James Pollock
Sanja Huibner
Suji Udayakumar
Erastus Irungu
Pauline Ngurukiri
Peter Muthoga
Wendy Adhiambo
Sergey Yegorov
Joshua Kimani
Tara Beattie
Bryan Coburn
Rupert Kaul
author_sort Eric Armstrong
collection DOAJ
description Abstract Background The composition of the vaginal microbiota is closely linked to adverse sexual and reproductive health outcomes, due in part to effects on genital immunology. Compositional approaches such as metagenomic sequencing provide a snapshot of all bacteria in a sample and have become the standard for characterizing the vaginal microbiota, but only provide microbial relative abundances. We hypothesized that the addition of absolute abundance data would provide a more complete picture of host-microbe interactions in the female genital tract. Results We analyzed cervicovaginal secretions from 196 female sex workers in Kenya and found that bacterial load was elevated among women with diverse, bacterial vaginosis (BV)-type microbiota and lower among women with Lactobacillus predominance. Bacterial load was also positively associated with proinflammatory cytokines, such as IL-1α, and negatively associated with chemokines, such as IP-10. The associations between bacterial load and immune factors differed across bacterial community states, but L. crispatus predominance was the only microbial community where higher bacterial load was not associated with higher proinflammatory cytokines. Total vaginal bacterial load was also a stronger predictor of the genital immune environment than BV by Nugent score, the current clinical standard, in the Kenya-based cohort and in a Uganda-based confirmatory cohort. Conclusions Our results suggest that total vaginal bacterial load is at least as strong a predictor of the genital immune milieu as current BV clinical diagnostic tools, supporting exploration of the vaginal bacterial load as a predictor of adverse reproductive and sexual health outcomes. Video Abstract
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publishDate 2025-02-01
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spelling doaj-art-4fe1f2e6e35243a4bb6718f0fd8378242025-02-09T12:46:48ZengBMCMicrobiome2049-26182025-02-0113111310.1186/s40168-025-02039-4Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axisEric Armstrong0Rachel Liu1James Pollock2Sanja Huibner3Suji Udayakumar4Erastus Irungu5Pauline Ngurukiri6Peter Muthoga7Wendy Adhiambo8Sergey Yegorov9Joshua Kimani10Tara Beattie11Bryan Coburn12Rupert Kaul13Toronto General Hospital Research Institute, University Health NetworkDepartment of Medicine, University of TorontoDepartment of Immunology, University of TorontoDepartment of Medicine, University of TorontoDepartment of Medicine, University of TorontoPartners for Health and Development in Africa (PHDA)Partners for Health and Development in Africa (PHDA)Partners for Health and Development in Africa (PHDA)Partners for Health and Development in Africa (PHDA)Department of Biochemistry and Biomedical Sciences, McMaster UniversityPartners for Health and Development in Africa (PHDA)Department of Global Health and Development, London School of Hygiene and Tropical MedicineToronto General Hospital Research Institute, University Health NetworkToronto General Hospital Research Institute, University Health NetworkAbstract Background The composition of the vaginal microbiota is closely linked to adverse sexual and reproductive health outcomes, due in part to effects on genital immunology. Compositional approaches such as metagenomic sequencing provide a snapshot of all bacteria in a sample and have become the standard for characterizing the vaginal microbiota, but only provide microbial relative abundances. We hypothesized that the addition of absolute abundance data would provide a more complete picture of host-microbe interactions in the female genital tract. Results We analyzed cervicovaginal secretions from 196 female sex workers in Kenya and found that bacterial load was elevated among women with diverse, bacterial vaginosis (BV)-type microbiota and lower among women with Lactobacillus predominance. Bacterial load was also positively associated with proinflammatory cytokines, such as IL-1α, and negatively associated with chemokines, such as IP-10. The associations between bacterial load and immune factors differed across bacterial community states, but L. crispatus predominance was the only microbial community where higher bacterial load was not associated with higher proinflammatory cytokines. Total vaginal bacterial load was also a stronger predictor of the genital immune environment than BV by Nugent score, the current clinical standard, in the Kenya-based cohort and in a Uganda-based confirmatory cohort. Conclusions Our results suggest that total vaginal bacterial load is at least as strong a predictor of the genital immune milieu as current BV clinical diagnostic tools, supporting exploration of the vaginal bacterial load as a predictor of adverse reproductive and sexual health outcomes. Video Abstracthttps://doi.org/10.1186/s40168-025-02039-4
spellingShingle Eric Armstrong
Rachel Liu
James Pollock
Sanja Huibner
Suji Udayakumar
Erastus Irungu
Pauline Ngurukiri
Peter Muthoga
Wendy Adhiambo
Sergey Yegorov
Joshua Kimani
Tara Beattie
Bryan Coburn
Rupert Kaul
Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
Microbiome
title Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
title_full Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
title_fullStr Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
title_full_unstemmed Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
title_short Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis
title_sort quantitative profiling of the vaginal microbiota improves resolution of the microbiota immune axis
url https://doi.org/10.1186/s40168-025-02039-4
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