VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria.

ABSTRACT: This study aimed to develop a robust classification scheme for stratifying patients based on vaginal microbiome. By employing consensus clustering analysis, we identified four distinct clusters using a cohort that includes individuals diagnosed with Bacterial Vaginosis (BV) as well as control participants, each characterized by unique patterns of microbiome species abundances. Notably, the consistent distribution of these clusters was observed across multiple external cohorts, such as SRA022855, SRA051298, PRJNA208535, PRJNA797778, and PRJNA302078 obtained from public repositories, demonstrating the generalizability of our findings. We further trained an elastic net model to predict these clusters, and its performance was evaluated in various external cohorts. Moreover, we developed VIBES,

SUBMITTER: Fernandez-Edreira D 

PROVIDER: S-EPMC10749217 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature