Evidence map›Paper›PMID 32046455›Full record

Observational studyReproductive sciences (Thousand Oaks, Calif.)2020

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

Allison R Perrotta, Giuliano M Borrelli, Carlo O Martins, Esper G Kallas, Sabri S Sanabani, Linda G Griffith, Eric J Alm, Mauricio S Abrao

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Reproductive sciences (Thousand Oaks, Calif.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 5 pooled it
7.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

54 citing papers in PubMed, 5 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  5. Pooled it
  6. Review
  7. Article
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  10. Article
  11. Review
  12. Review
  13. The Role of the Microbiome in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. Gut-X axis.iMeta · 2025
    Review
  18. Article
  19. Article
  20. Reproductive tract microbiome dysbiosis associated with gynecological diseases.Frontiers in cellular and infection microbiology · 2025
    Review
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

8 authors at 3 institutions in 2 countries.

Allison R PerrottaDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Giuliano M BorrelliEndometriosis Section, Gynecologic Division. Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, São Paulo, Brazil.
Carlo O MartinsEndometriosis Section, Gynecologic Division. Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, São Paulo, Brazil.
Esper G KallasDivision of Clinical Immunology and Allergy. Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, São Paulo, Brazil.
Sabri S SanabaniLaboratory of Dermatology and Immunodeficiency, Department of Dermatology, Tropical Medicine Institute of São Paulo, University of São Paulo, São Paulo, Brazil.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eric J AlmDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mauricio S AbraoEndometriosis Section, Gynecologic Division. Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, São Paulo, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRMassachusetts Institute of Technology · USUniversidade de São Paulo · BR

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
GuMI: New In Vitro Platforms to Parse the Human Gut Epithelial-Microbiome-Immune AxisR01EB021908 · NIBIB · NORTHEASTERN UNIVERSITY · PI CARRIER, REBECCA L, GRIFFITH, LINDA G · 2016 to 2020
$5.2M
NIBIB NIH HHS R01 EB021908NIEHS NIH HHS P30 ES002109
6 · The paper itself

Abstract

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.

Indexed as

MicrobiotaAdultCross-Sectional StudiesDisease ProgressionEndometriosisFemaleHumansMenstrual CycleMiddle AgedPilot ProjectsRectumROC CurveVaginaYoung AdultDiagnosisEndometriosisMicrobiomePathogenesisVaginal microbiome

Identifiers

PMID32046455
PMCPMC7539818
OpenAlexW2998976548

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.