ArticleOpen forum infectious diseases2025
Investigating Bacterial Vaginosis Pathogenesis Using Peptide Nucleic Acid-Fluorescence
Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Predicting bacterial vaginosis incidence using artificial neural networks.PLoS computational biology · 2026Article
- Spatial organization ofInfection and immunity · 2026Article
- Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Background: Bacterial vaginosis (BV) is a vaginal dysbiosis characterized by polymicrobial communities of BV-associated bacteria (BVAB) adhered to the vaginal epithelium. Despite decades of research, its etiology remains unknown. We aimed to investigate BV biofilm formation over time among women who developed incident BV (iBV) using peptide nucleic acid-fluorescence Methods: Heterosexual, nonpregnant women ages 18-45 with optimal vaginal microbiota were enrolled to self-collect twice-daily vaginal specimens for 60 days. iBV was defined as a Nugent score of 7-10 on ≥4 consecutive specimens. For women who developed iBV (cases), Results: Among 135 women enrolled, 18 developed iBV and were matched to 18 controls. Pooled median Conclusions: These data suggest that
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