MolBV reveals immune landscape of bacterial vaginosis and predicts human papillomavirus infection natural history.

ABSTRACT: Bacterial vaginosis (BV) is a highly prevalent condition that is associated with adverse health outcomes. It has been proposed that BV's role as a pathogenic condition is mediated via bacteria-induced inflammation. However, the complex interplay between vaginal microbes and host immune factors has yet to be clearly elucidated. Here, we develop molBV, a 16 S rRNA gene amplicon-based classification pipeline that generates a molecular score and diagnoses BV with the same accuracy as the current gold standard method (i.e., Nugent score). Using 3 confirmatory cohorts we show that molBV is independent of the 16 S rRNA region and generalizable across populations. We use the score in a cohort without clinical BV states, but with measures of HPV infection history and immune markers, to reveal that

SUBMITTER: Usyk M 

PROVIDER: S-EPMC8752746 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature