A multi-platform metabolomics approach identifies novel biomarkers associated with bacterial diversity in the human vagina
Amy McMillan, Stephen Rulisa, Mark Sumarah, Jean M. Macklaim, Justin, Renaud, Jordan Bisanz, Gregory B. Gloor, and Gregor Reid

TL;DR
This study uses untargeted metabolomics to identify novel vaginal biomarkers linked to bacterial diversity and BV, improving diagnostic accuracy and understanding of microbiota-metabolite relationships.
Contribution
It introduces a multi-platform metabolomics approach to discover new biomarkers for BV and links specific metabolites to bacterial diversity and Gardnerella vaginalis.
Findings
Metabolites like 2-hydroxyisovalerate and GHB are associated with high bacterial diversity and BV.
Lactate and amino acids characterize low diversity and lactobacilli dominance.
Predicted BV with 91% accuracy in a validation cohort.
Abstract
Bacterial vaginosis (BV) increases transmission of HIV, enhances the risk of preterm labour, and its associated malodour impacts the quality of life for many women. Clinical diagnosis primarily relies on microscopy to presumptively detect a loss of lactobacilli and acquisition of anaerobes. This diagnostic does not reflect the microbiota composition accurately as lactobacilli can assume different morphotypes, and assigning BV associated morphotypes to specific organisms is challenging. Using an untargeted metabolomics approach we identify novel biomarkers for BV in a cohort of 131 Rwandan women, and demonstrate that metabolic products in the vagina are strongly associated with bacterial diversity. Metabolites associated with high diversity and clinical BV include 2-hydroxyisovalerate and gamma-hydroxybutyrate (GHB), but not the anaerobic end-product succinate. Low diversity, and high…
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