Vaginal Microbiome Components as Correlates of Cervical Human Papillomavirus Infection

• Autor(a) principal: Morales, Julia Andrade Pessoa [UNESP]
• Data de Publicação: 2022
• Outros Autores: Marconi, Camila [UNESP], El-Zein, Mariam, Ravel, Jacques, Pinto, Gabriel Victor da Silva [UNESP], Silveira, Rosana [UNESP], Lima, Moises Diogo de, Carvalho, Newton Sergio de, Alves, Rosane Ribeiro Figueiredo, Parada, Cristina Maria Garcia de Lima [UNESP], Morais Leite, Sandra Helena, Villa, Luisa L. [UNESP], Franco, Eduardo L., Silva, Marcia Guimaraes da [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1093/infdis/jiab547; http://hdl.handle.net/11449/237724
• topic: Vaginal microbiome; HPV infection; high-risk HPV; 16S RNA sequencing

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.