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<p>Bacterial vaginosis (BV) is associated with HIV transmission and pre-term birth, yet the etiology of BV remains unknown. Our analysis addressed that knowledge gap by comparing diagnostic techniques and using Bayesian inference to find species-specific associations with clinical indicators. We also assessed the effect of sequencing methodology on the results of molecular BV profiling. We observed significant differences in microbial diversity within BV-associated CSTs based on clinical diagnosis. CST assignments were substantially influenced by sequencing methodology, with concordance between methods as low as 59% for metatranscriptomic and metataxonomic-based CST assignment. We also found that <i>Gardnerella</i> has a strain-dependent association with individual Amsel’s criteria, and that <i>Dialister micraerophilus</i> and <i>Parvimonas micra</i> are positively associated with Amsel’s criteria while <i>Lactobacillus</i> is negatively associated. These results highlight the challenge of characterizing a condition without a single etiological agent, reinforcing the need for more granular diagnoses and treatments that are sensitive to BV variability.</p>

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Common cervicovaginal sequencing methods result in discordant molecular diagnoses of bacterial vaginosis and reveal strain level effects of Gardnerella vaginalis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月5日

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  • Courtney A. Broedlow,
  • Erik Swanson,
  • Emily M. Cherenack,
  • Chris Basting,
  • Nicholas Fonseca Nogueira,
  • Michael France,
  • Pan Yue,
  • Ashma Chakrawarti,
  • Ana Salazar,
  • Lunnarie Acosta,
  • Patricia Raccamarich,
  • Michael Gale Jr.,
  • Jacques Ravel,
  • Lydia A. Fein,
  • Johanna Holm,
  • Maria L. Alcaide,
  • Nichole R. Klatt

摘要

Bacterial vaginosis (BV) is associated with HIV transmission and pre-term birth, yet the etiology of BV remains unknown. Our analysis addressed that knowledge gap by comparing diagnostic techniques and using Bayesian inference to find species-specific associations with clinical indicators. We also assessed the effect of sequencing methodology on the results of molecular BV profiling. We observed significant differences in microbial diversity within BV-associated CSTs based on clinical diagnosis. CST assignments were substantially influenced by sequencing methodology, with concordance between methods as low as 59% for metatranscriptomic and metataxonomic-based CST assignment. We also found that Gardnerella has a strain-dependent association with individual Amsel’s criteria, and that Dialister micraerophilus and Parvimonas micra are positively associated with Amsel’s criteria while Lactobacillus is negatively associated. These results highlight the challenge of characterizing a condition without a single etiological agent, reinforcing the need for more granular diagnoses and treatments that are sensitive to BV variability.