ArticleFrontiers in immunology2026
Vaginal dysbiosis and inflammatory signatures in preterm labor: an integrated model for predicting preterm birth.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Preterm birth (PTB) is a major cause of neonatal morbidity and mortality, with vaginal microbiome dysbiosis and local immune responses implicated in its pathogenesis. However, the role of vaginal immune and extracellular matrix (ECM) remodeling factors in the progression from preterm labor (PTL) to PTB remains unclear. This study examines the associations between microbiome composition and immune and ECM-related protein composition in PTL patients to identify key factors and predictive models associated with the risk of PTB. Methods: This prospective study included 136 pregnant women classified into three groups: Control (Term Birth, TB), PTL-TB (Preterm Labor with Term Birth), and PTL-PTB (Preterm Labor with Preterm Birth). Vaginal microbiome composition was analyzed using 16S rRNA sequencing and categorized by dysbiosis status and community state types (CST). Cytokines (IL-1β, IFN-γ, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70) and ECM remodeling enzymes (MMP-1, MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-12, MMP-13, IGFBP-1) were quantified in vaginal secretions using the Luminex Results: Dysbiosis and CST IV were more prevalent in the PTL-PTB group. IL-1β was highest in CST III, while MMP-9 and other MMPs were elevated in CST IV. CVF MMP-9 was consistently increased across PTL-PTB cases, dysbiosis, and CST IV. However, IGFBP-1, MMP-8, and MMP-13 were significantly different by clinical outcome but not correlated with microbiome composition. A logistic regression model incorporating non-Lactobacillus fraction, IGFBP-1, MMP-9, MMP-13, and TNF-α demonstrated excellent predictive performance (AUC = 0.910) for PTB. Conclusions: Distinct microbial and immune profiles are associated with the progression from PTL to PTB. MMP-9 may serve as a key effector linking dysbiosis to extracellular matrix remodeling and PTB. Integrative biomarker models may support early risk stratification in women with PTL.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.