The Vaginal Microbiome as a Tool to Predict rASRM Stage of Disease in Endometriosis: a Pilot Study

Study information

Reviewed Marked as Reviewed by Atrayees on 2023-7-13

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

32046455

DOI Digital object identifier for electronic documents.

10.1007/s43032-019-00113-5

URI

Authors

Perrotta AR, Borrelli GM, Martins CO, Kallas EG, Sanabani SS, Griffith LG, Alm EJ, Abrao MS

Journal

Reproductive sciences (Thousand Oaks, Calif.)

Year

2020

Keywords:

Diagnosis, Endometriosis, Microbiome, Pathogenesis, Vaginal microbiome

Endometriosis remains a challenge to understand and to diagnose. This is an observational cross-sectional pilot study to characterize the gut and vaginal microbiome profiles among endometriosis patients and control subjects without the disease and to explore their potential use as a less-invasive diagnostic tool for endometriosis. Overall, 59 women were included, n = 35 with endometriosis and n = 24 controls. Rectal and vaginal samples were collected in two different periods of the menstrual cycle from all subjects. Gut and vaginal microbiomes from patients with different rASRM (revised American Society for Reproductive Medicine) endometriosis stages and controls were analyzed. Illumina sequencing libraries were constructed using a two-step 16S rRNA gene PCR amplicon approach. Correlations of 16S rRNA gene amplicon data with clinical metadata were conducted using a random forest-based machine-learning classification analysis. Distribution of vaginal CSTs (community state types) significantly differed between follicular and menstrual phases of the menstrual cycle (p = 0.021, Fisher's exact test). Vaginal and rectal microbiome profiles and their association to severity of endometriosis (according to rASRM stages) were evaluated. Classification models built with machine-learning methods on the microbiota composition during follicular and menstrual phases of the cycle were built, and it was possible to accurately predict rASRM stages 1-2 verses rASRM stages 3-4 endometriosis. The feature contributing the most to this prediction was an OTU (operational taxonomic unit) from the genus Anaerococcus. Gut and vaginal microbiomes of women with endometriosis have been investigated. Our findings suggest for the first time that vaginal microbiome may predict stage of disease when endometriosis is present.

Experiment 2

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-22

Curated date: 2023/07/13

Curator: Atrayees

Revision editor(s): Atrayees, ChiomaBlessing

Differences from previous experiment shown

Subjects

Location of subjects: Brazil

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 Vagina,vagina,Distal oviductal region,Distal portion of oviduct,Vaginae

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Endometriosis endometriosis,Endometriosis (clinical),endometriosis (disease),Endometriosis (disorder),Endometriosis (morphologic abnormality),ENDOMETRIOSIS NEC,Endometriosis NOS,Endometriosis NOS (disorder),Endometriosis of other specified sites,Endometriosis, site unspecified,Endometriosis

Group 0 name Corresponds to the control (unexposed) group for case-control studies: patients with rASRM stages 1 - 2

Group 1 name Corresponds to the case (exposed) group for case-control studies: patients with rASRM stages 3 - 4

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Patients with vaginal and rectal microbiome profiles and their association to severity of endometriosis (rASRM) stages 3 - 4

Group 0 sample size Number of subjects in the control (unexposed) group: 12

Group 1 sample size Number of subjects in the case (exposed) group: 8

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): Participants were excluded if they had taken antibiotics within the past 3 months

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: T-Test

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

Signature 1

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-22

Curated date: 2023/07/13

Curator: Atrayees

Revision editor(s): Atrayees, ChiomaBlessing

Source: Fig 3B

Description: Correlations of OTU abundance with stage of disease, showing abundance in stages 3 - 4 compared to stages 1 - 2

Abundance in Group 1: decreased abundance in patients with rASRM stages 3 - 4

NCBI	Quality Control	Links
Haemophilus
Neisseria
Porphyromonas
Streptococcus

Revision editor(s): Atrayees, ChiomaBlessing

Signature 2

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Reviewed Marked as Reviewed by ChiomaBlessing on 2024-2-22

Curated date: 2023/07/13

Curator: Atrayees

Revision editor(s): Atrayees, ChiomaBlessing

Source: Fig 3B

Description: Correlations of OTU abundance with stage of disease, showing abundance in stages 3 - 4 compared to stages 1 - 2

Abundance in Group 1: increased abundance in patients with rASRM stages 3 - 4

NCBI	Quality Control	Links
Acidovorax
Anaerococcus
Dialister
Escherichia/Shigella sp.
Howardella
Lactobacillus
Peptoniphilus
Phyllobacterium
Prevotella
Propionibacterium
Sphingomonas
Streptococcus
Tissierellia
Varibaculum

Revision editor(s): Atrayees, ChiomaBlessing