Characteristics of Vaginal Microbiome in Women with Pelvic Inflammatory Disease in Korea

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Kim S, Seo H, Rahim MA, Tajdozian H, Kim YS, Song HY
Journal
Polish journal of microbiology
Year
2021
Keywords:
16S rRNA amplicon sequencing, Korean, pelvic inflammatory disease, premenopausal, vaginal microflora
Human vaginal microorganisms play an important role in maintaining good health throughout the human life cycle. An imbalance in the vaginal microbiota is associated with an increased risk of pelvic inflammatory disease (PID). This study aimed to characterize and compare vaginal microbial profiles of premenopausal Korean women with and without PID. 74 Korean premenopausal female vaginal samples were obtained; 33 were from healthy women (a control group) and 41 from PID patients. Vaginal fluid samples were collected from the vaginal wall and posterior cervix and then analyzed by 16S ribosomal ribonucleic acid (rRNA) gene-based amplicon sequencing. Results showed a significant difference between the vaginal microbial communities of the two groups (Jensen-Shannon, p = 0.014; Bray-Curtis, p = 0.009; Generalized UniFrac, p = 0.007; UniFrac, p = 0.008). Lactobacillus accounted for the highest percentage (61.0%) of the control group but was significantly decreased (34.9%) in PID patients; this was the most significant difference among all bacterial communities (p = 0.028, LDA effect size = 5.129). In addition, in the PID patient group, species diversity significantly increased (Simpson, p = 0.07) as the proportion of various pathogens increased evenly, resulting in a polymicrobial infection. Similarly, lactate, which constituted the highest percentage of the organic acids in the control group, was significantly decreased in the PID patient group (p = 0.04). The present study's findings will help understand PID from the microbiome perspective and are expected to contribute to the development of more efficient PID diagnosis and treatment modalities.

Experiment 1


Needs review

Curated date: 2025/06/24

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Subjects

Location of subjects
South Korea
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
Vagina Distal oviductal region,Distal portion of oviduct,Vaginae,Vagina,vagina
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Pelvic Inflammatory Disease disease (PID), pelvic inflammatory,inflammatory disease (PID), pelvic,pelvic infection,pelvic inflammatory disease,pelvic inflammatory disease, (PID),PID,PID, pelvic inflammatory disease,Pelvic Inflammatory Disease,pelvic Inflammatory Disease
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Control group
Group 1 name Corresponds to the case (exposed) group for case-control studies
Pelvic Inflammatory Disease (PID) group
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Vaginal samples from premenopausal women with Pelvic Inflammatory Disease (PID).
Group 0 sample size Number of subjects in the control (unexposed) group
33
Group 1 sample size Number of subjects in the case (exposed) group
41

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2.5

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased
Richness Number of species
unchanged
Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
unchanged

Signature 1

Needs review

Curated date: 2025/06/24

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Table 4

Description: The Kruskal-Wallis H tests and LEfSe analysis of the associations between normal control women and PID patients.

Abundance in Group 1: increased abundance in Pelvic Inflammatory Disease (PID) group

NCBI Quality ControlLinks
Pseudomonadaceae
Yersiniaceae
Gardnerella
Pseudomonas
Parvimonas
unclassified Enterobacteriaceae
Megasphaera
Yersinia

Revision editor(s): Aleru Divine

Signature 2

Needs review

Curated date: 2025/06/24

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Table 4

Description: The Kruskal-Wallis H tests and LEfSe analysis of the associations between normal control women and PID patients.

Abundance in Group 1: decreased abundance in Pelvic Inflammatory Disease (PID) group

NCBI Quality ControlLinks
Bacillota
Candidatus Saccharimonadota
Bacilli
Candidatus Saccharimonadia
Candidatus Saccharimonadales
Candidatus Saccharimonadaceae
Propionibacteriales
Lactobacillaceae
Moraxellaceae
Propionibacteriaceae
Lactobacillus
unclassified Lactobacillaceae
AF125206AF125206
Cutibacterium
Actinotignum
Lactobacillales

Revision editor(s): Aleru Divine