ArticleAnnals of epidemiology2025
Vaginal microbiome structure in pregnancy and host factors predict preterm birth: Results from the ECHO Cohort.
Article in Annals of epidemiology, 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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Who cites it
3 citing papers in PubMed.
- Urogenital immune signatures are associated with birth outcomes after maternal urinary tract infection.Science translational medicine · 2026Article
- VaginalJournal of clinical medicine · 2026Article
- The Maternal Microbiome in Pregnancy: From Physiological Changes to Dysbiosis and Obstetrical Complications-Therapeutic Perspectives.Life (Basel, Switzerland) · 2026Review
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Authors and funding
13 authors.
Funding
Abstract
purposeThe vaginal microbiome is dynamic, typically shifting during pregnancy toward enrichment of Lactobacillus. However, proliferation of Lactobacillus may be absent among women with preterm births (PTBs). We sought to identify robust vaginal microbiota signatures along with host factors that predicted PTB across diverse U.S. cohorts.
methodsWe meta-analyzed 16S rRNA gene amplicon sequence data from the Environmental influences on Child Health Outcomes Cohort. We classified community state types (CSTs) and employed penalized logistic regression models to assess the association between vaginal CST and PTB. We generated supervised random forest models and validated them using a train-and-test approach to identify the most predictive vaginal taxa and host factors.
resultsOf 683 births, 12 % were preterm. Overall, 26 % had a non- L. iners Lactobacillus-dominant CST (I, II, V), 43 % had a L. iners-dominant CST (III), and 30 % had a diverse, non-Lactobacillus-dominant (IV-B, IV-C) CST. Vaginal CST was strongly associated with PTB (adjusted odds ratio [aOR], 3.86, 95 % confidence interval [CI], 1.57-11.3 for diverse, non-Lactobacillus-dominant communities and aOR, 3.03, 95 % CI, 1.25-8.78 for L. iners-dominant compared to L. crispatus-dominant communities). The model with the highest area under the curve (AUC=.77) included Gardnerella vaginalis, age, Prevotella timonensis, and L. crispatus.
conclusionsAlong with host factors, vaginal microbiota could be used for predictive risk scoring for PTB across different U.S. cohorts.
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