Previse preterm birth in early pregnancy through vaginal microbiome signatures using metagenomics and dipstick assaysOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
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Annually, in India, 13% of all newborns are preterm, accounting for 23.4% of preterm birth (PTB) globally. The composition and diversity of the vaginal microbiome have a notable degree of ethnic inequality. For understanding differences in vaginal microbiome composition and functions between adverse and normal pregnancy, we have collected, processed and sequenced 600 high vaginal swab (HVS) samples across the three trimesters of pregnancy from 140 women who delivered at term and 60 women who delivered PTB, adopting a targeted metagenomics approach. The microbial signatures in HVS samples showed Lactobacillus genera to be highly abundant in term birth (TB), while in early pregnancy the abundances of Gardnerella, Atopobium, and Sneathia were found to be high in PTB. We further extended our analysis, identified specific microbial genomic signatures, and developed a dipstick assay for rapid identification of PTB-associated microbiota in HVS samples in low-resource settings.