Loading…

Vaginal Microbiome Components as Correlates of Cervical Human Papillomavirus Infection

Abstract Background Interplay between vaginal microbiome and human papillomavirus (HPV) remains unclear, partly due to heterogeneity of microbiota. Methods We used data from 546 women enrolled in a cross-sectional study in 5 Brazil. We genotyped vaginal samples for HPV and sequenced V3–V4 region of...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of infectious diseases 2022-09, Vol.226 (6), p.1084-1097
Main Authors: Andrade Pessoa Morales, Julia, Marconi, Camila, El-Zein, Mariam, Ravel, Jacques, da Silva Pinto, Gabriel Victor, Silveira, Rosana, Lima, Moises Diogode, de Carvalho, Newton Sergio, Alves, Rosane Ribeiro Figueiredo, de Lima Parada, Cristina Maria Garcia, Leite, Sandra Helena Morais, Villa, Luisa L, Franco, Eduardo L, da Silva, Marcia Guimarães
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Background Interplay between vaginal microbiome and human papillomavirus (HPV) remains unclear, partly due to heterogeneity of microbiota. Methods We used data from 546 women enrolled in a cross-sectional study in 5 Brazil. We genotyped vaginal samples for HPV and sequenced V3–V4 region of 16S rRNA gene for vaginal microbiome analysis. We used stepwise logistic regression to construct 2 linear scores to predict high-risk HPV (hrHPV) positivity: one based exclusively on presence of individual bacterial taxa (microbiome-based [MB] score) and the other exclusively on participants’ sociodemographic, behavioral, and clinical (SBC) characteristics. MB score combined coefficients of 30 (of 116) species. SBC score retained 6 of 25 candidate variables. We constructed receiver operating characteristic curves for scores as hrHPV correlates and compared areas under the curve (AUC) and 95% confidence intervals (CI). Results Overall, prevalence of hrHPV was 15.8%, and 26.2% had a Lactobacillus-depleted microbiome. AUCs were 0.8022 (95% CI, .7517–.8527) for MB score and 0.7027 (95% CI, .6419–.7636) for SBC score (P = .0163). Conclusions The proposed MB score is strongly correlated with hrHPV positivity—exceeding the predictive value of behavioral variables—suggesting its potential as an indicator of infection and possible value for clinical risk stratification. This cross-sectional study demonstrated a strong correlation between vaginal microbiome components and cervical high-risk HPV positivity.
ISSN:0022-1899
1537-6613
DOI:10.1093/infdis/jiab547