Changes in the vaginal microbiota associated with primary ovarian failure

Study information

Reviewed Marked as Reviewed by Svetlana up on 2024-6-17

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

32727366

DOI Digital object identifier for electronic documents.

https://doi.org/10.1186/s12866-020-01918-0

URI

Authors

Wang J, Xu J, Han Q, Chu W, Lu G, Chan WY, Qin Y, Du Y

Journal

BMC microbiology

Year

2020

Keywords:

16S rRNA, Female reproductive tract, Pathogenesis, Primary ovarian failure, Vaginal microbiota

BACKGROUND: Primary ovarian failure (POF) is defined as follicular failure in women of reproductive age. Although many factors are speculated to contribute to the occurrence of POF, the exact aetiology remains unclear. Moreover, alterations in the microbiome of patients with POF are poorly studied. RESULTS: This study investigated the vaginal microbiota of 22 patients with POF and 29 healthy individuals. High-throughput Illumina MiSeq sequencing targeting the V3-V4 region of the 16S ribosomal RNA (rRNA) gene was used to evaluate the relationships between the vaginal flora and clinical characteristics of POF. Different from results of previous studies, we found that the diversity and richness of the vaginal flora of patients with POF was significantly different from those of healthy controls. Comparison of the vaginal flora of patients with POF with that of menopausal women revealed that the relative abundance of Lactobacillus was significantly reduced in the latter. A reduced abundance of Lactobacillus was furthermore associated with a lower pregnancy success rate. Of particular interest is that L. gallinarum especially appeared to be beneficially associated with reproductive-related indicators (FSH, E2, AMH, PRL) whilst L. iners appeared to have a detrimental effect. The result of the present study may enable the identification of microbiota associated with POF, however, further investigations of differences in the microbiota in the context of POF will enable a deeper understanding of the disease pathogenesis that involves modification of the vaginal microbiota. CONCLUSIONS: The present study identified the microbiota associated with POF. Further investigations on the differences in the microbiota in the context of POF will improve our understanding of the pathogenesis of the disease which involves modification of the vaginal microbiota.

Experiment 1

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Reviewed Marked as Reviewed by Svetlana up on 2024-6-17

Curated date: 2024/03/25

Curator: Ndruscilla

Revision editor(s): Ndruscilla, Scholastica

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: Vaginal fluid Vaginal discharge,Vaginal secretion,Vaginal fluid,vaginal fluid

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Acquired primary ovarian failure acquired premature ovarian failure,acquired primary ovarian failure,Acquired primary ovarian failure

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Healthy controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: Primary ovarian failure (POF)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Women of reproductive age with follicular failure

Group 0 sample size Number of subjects in the control (unexposed) group: 29

Group 1 sample size Number of subjects in the case (exposed) group: 22

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 3 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

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

Alpha Diversity

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

Richness Number of species: increased

Signature 1

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Your review change was submitted

Reviewed Marked as Reviewed by Svetlana up on 2024-6-17

Curated date: 2024/03/25

Curator: Ndruscilla

Revision editor(s): Ndruscilla, Scholastica

Source: Figure 2a

Description: Differential genera in vaginal microbiota in patients with primary ovarian failure (POF) compared to control group

Abundance in Group 1: increased abundance in Primary ovarian failure (POF)

NCBI	Quality Control	Links
Prevotella
Gardnerella
Bifidobacterium
Sneathia
Porphyromonas
Escherichia/Shigella sp.
Bacteroides
Dialister
Veillonella
Campylobacter
Peptoniphilus
Anaerococcus
Streptococcus
Helcococcus
Providencia
Corynebacterium
Parasutterella
Clostridium
Serratia
Clostridium XIVaClostridium XIVa
Arcobacter
Oceanobacillus
Chryseobacterium
Actinomyces
Finegoldia
Clostridium XIClostridium XI
Howardella
Blautia
Luteimonas
Caryophanon
Ruminococcus2Ruminococcus2
Marinobacter
Succinivibrio
Murdochiella
Halomonas
Acidaminococcus
Gemella
Negativicoccus
Gemmiger
Rothia
Oligella
Enterococcus
Arcanobacterium
Alloprevotella