A multi-omic systems-based approach reveals metabolic markers of bacterial vaginosis and insight into the disease.

ABSTRACT:

Background

Bacterial vaginosis (BV) is the most common vaginal disorder of reproductive-age women. Yet the cause of BV has not been established. To uncover key determinants of BV, we employed a multi-omic, systems-biology approach, including both deep 16S rRNA gene-based sequencing and metabolomics of lavage samples from 36 women. These women varied demographically, behaviorally, and in terms of health status and symptoms.

Principal findings

16S rRNA gene-based community composition profiles reflected Nugent scores, but not Amsel criteria. In contrast, metabolomic profiles were markedly more concordant with Amsel criteria. Metabolomic profiles revealed two distinct symptomatic BV types (SBVI and SBVII) with similar characteristics that indicated disruption of epithelial inte

SUBMITTER: Yeoman CJ 

PROVIDER: S-EPMC3566083 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature