Alterations in the vaginal microbiota of patients with preterm premature rupture of membranes

Study information

Reviewed Marked as Reviewed by Folakunmi on 2024-2-11

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

36004326

DOI Digital object identifier for electronic documents.

10.3389/fcimb.2022.858732

URI

Authors

Yan C, Hong F, Xin G, Duan S, Deng X, Xu Y

Journal

Frontiers in cellular and infection microbiology

Year

2022

Keywords:

PPROM, PROM, PTB, preterm birth, vaginal microbiota

BACKGROUND: Preterm premature rupture of membranes (PPROM) is a common pregnancy complication. Yet, the main cause of PPROM remains poorly understood. In this study, we used 16S rRNA gene sequencing technology to identify the differences in vaginal microbiota between pregnant women with PPROM and those who delivered at term. METHODS: Vaginal samples were collected from 48 patients with PPROM and 54 age- and gestational age-matched pregnant women who delivered at term (controls). The vaginal microbiota of the two groups was compared using 16S rRNA gene sequencing of the V3-V4 regions. RESULTS: The vaginal microbial composition of the PPROM group was significantly different from that of the control group. Our results showed that the diversity of vaginal microbiota in patients with PPROM increased compared with controls. The relative abundance of Lactobacillus iners, Gardnerella vaginalis, Prevotella bivia, Ochrobactrum sp., Prevotella timonensis, and Ureaplasma parvum were more abundant in patients with PPROM, while Lactobacillus crispatus and Lactobacillus gasseri were more abundant in controls. Ochrobactrum sp., Prevotella timonensis, and Gardnerella vaginalis, could serve as biomarkers for PPROM. Finally, we proposed several metabolic pathways, including PWY-6339, PWY-6992, and PWY-7295. CONCLUSION: PPROM is characterized by vaginal microbial dysbiosis. The dysbiotic vaginal microbiota signatures in patients with PPROM include a higher bacterial diversity, decreased autochthonous bacteria, and increased pathogenic bacteria. These results may be beneficial for developing biomarkers for screening and early diagnosis of PPROM and may provide effective preventative treatments.

Experiment 1

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Reviewed Marked as Reviewed by Folakunmi on 2024-2-11

Curated date: 2023/10/21

Curator: Chinelsy

Revision editor(s): Chinelsy

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Anterior fornix of vagina , Lateral fornix of vagina , Uterine cervix Anterior fornix,Anterior part of fornix of vagina,Pars anterior fornicis vaginae,Anterior fornix of vagina,anterior fornix of vagina,Lateral part of fornix of vagina,Pars lateralis fornicis vaginae,Lateral fornix of vagina,lateral fornix of vagina,Canalis cervicis uteri,Caudal segment of uterus,Cervical canal,Cervical canal of uterus,Cervix,Cervix of uterus,Cervix uteri,Neck of uterus,Uterine cervix,uterine cervix

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Preterm premature rupture of the membranes PPROM,preterm premature rupture of the membranes,Preterm premature rupture of the membranes

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Control(term delivery)

Group 1 name Corresponds to the case (exposed) group for case-control studies: Preterm premature rupture of membranes (PPROM)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: PPROM is characterized by vaginal microbial dysbiosis.

Group 0 sample size Number of subjects in the control (unexposed) group: 54

Group 1 sample size Number of subjects in the case (exposed) group: 48

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 2 months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 3.5

Matched on Factors on which subjects have been matched on in a case-control study: age, gestational age

Alpha Diversity

Pielou Quantifies how equal the community is numerically: increased

Shannon Estimator of species richness and species evenness: more weight on species richness: increased

Chao1 Abundance-based estimator of species richness: increased

Simpson Estimator of species richness and species evenness: more weight on species evenness: increased

Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample: increased

Signature 1

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Reviewed Marked as Reviewed by Folakunmi on 2024-2-11

Curated date: 2023/10/21

Curator: Chinelsy

Revision editor(s): Chinelsy

Source: Fig.2C

Description: Differences in bacterial abundance in patients with PPROM versus controls.

Abundance in Group 1: increased abundance in Preterm premature rupture of membranes (PPROM)

NCBI	Quality Control	Links
Gardnerella vaginalis
Hoylesella timonensis
Lactobacillus iners
Ochrobactrum sp.
Prevotella bivia
Ureaplasma parvum

Revision editor(s): Chinelsy

Signature 2

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Reviewed Marked as Reviewed by Folakunmi on 2024-2-11

Curated date: 2024/02/11

Curator: Folakunmi

Revision editor(s): Folakunmi

Source: Fig.2C

Description: Differences in bacterial abundance in patients with PPROM versus controls.

Abundance in Group 1: decreased abundance in Preterm premature rupture of membranes (PPROM)

NCBI	Quality Control	Links
Lactobacillus crispatus
Lactobacillus gasseri

Revision editor(s): Folakunmi