Evidence map›Paper›PMID 42327783›Full record

ArticleFrontiers in immunology2026

Vaginal dysbiosis and inflammatory signatures in preterm labor: an integrated model for predicting preterm birth.

Subeen Hong, Gi Soo Um, Byung Soo Kang, Oyoung Kim, Seon Ui Lee, Hyun Sun Ko, Sangho Nam, Seungok Lee, In Yang Park, Sun Shin

Abstract read
In one paragraph

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.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Subeen HongDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Gi Soo UmDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Byung Soo KangDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Oyoung KimDepartment of Obstetrics and Gynecology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seon Ui LeeDepartment of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyun Sun KoDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sangho NamDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seungok LeeDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
In Yang Park *Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sun Shin *Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

DysbiosisObstetric Labor, PrematurePremature BirthVaginaAdultBiomarkersCytokinesFemaleHumansMicrobiotaPregnancyProspective StudiesRNA, Ribosomal, 16SBiomarkersCytokinesRNA, Ribosomal, 16Sbiomarkersdysbiosismatrix metalloproteinasemicrobiotapregnancypremature birth

Identifiers

PMID42327783
PMCPMC13278985

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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.