Oral, Vaginal, and Stool Microbial Signatures in Patients With Endometriosis as Potential Diagnostic Non‐Invasive Biomarkers: A Prospective Cohort Study
ABSTRACT Objective To identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker. Design Prospective cohort pilot study. Setting Nepean Hospital and UNSW Microbiome Research Centre, Australia. Population Sixty‐four age‐ and sex‐matched subjects (n = 19 healthy co...
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Published in | BJOG : an international journal of obstetrics and gynaecology Vol. 132; no. 3; pp. 326 - 336 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.02.2025
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1470-0328 1471-0528 1471-0528 |
DOI | 10.1111/1471-0528.17979 |
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Abstract | ABSTRACT
Objective
To identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker.
Design
Prospective cohort pilot study.
Setting
Nepean Hospital and UNSW Microbiome Research Centre, Australia.
Population
Sixty‐four age‐ and sex‐matched subjects (n = 19 healthy control (HC); n = 24 non‐endometriosis (N‐ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions.
Methods
Oral, stool and, vaginal samples were self‐collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis.
Main Outcome Measures
Compositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis.
Results
The composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis.
Conclusions
Taxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial‐based treatments and the design of a diagnostic swab. |
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AbstractList | To identify a microbial signature for endometriosis for use as a diagnostic non-invasive biomarker.
Prospective cohort pilot study.
Nepean Hospital and UNSW Microbiome Research Centre, Australia.
Sixty-four age- and sex-matched subjects (n = 19 healthy control (HC); n = 24 non-endometriosis (N-ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions.
Oral, stool and, vaginal samples were self-collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis.
Compositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis.
The composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis.
Taxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial-based treatments and the design of a diagnostic swab. To identify a microbial signature for endometriosis for use as a diagnostic non-invasive biomarker.OBJECTIVETo identify a microbial signature for endometriosis for use as a diagnostic non-invasive biomarker.Prospective cohort pilot study.DESIGNProspective cohort pilot study.Nepean Hospital and UNSW Microbiome Research Centre, Australia.SETTINGNepean Hospital and UNSW Microbiome Research Centre, Australia.Sixty-four age- and sex-matched subjects (n = 19 healthy control (HC); n = 24 non-endometriosis (N-ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions.POPULATIONSixty-four age- and sex-matched subjects (n = 19 healthy control (HC); n = 24 non-endometriosis (N-ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions.Oral, stool and, vaginal samples were self-collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis.METHODSOral, stool and, vaginal samples were self-collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis.Compositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis.MAIN OUTCOME MEASURESCompositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis.The composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis.RESULTSThe composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis.Taxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial-based treatments and the design of a diagnostic swab.CONCLUSIONSTaxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial-based treatments and the design of a diagnostic swab. ObjectiveTo identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker.DesignProspective cohort pilot study.SettingNepean Hospital and UNSW Microbiome Research Centre, Australia.PopulationSixty‐four age‐ and sex‐matched subjects (n = 19 healthy control (HC); n = 24 non‐endometriosis (N‐ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions.MethodsOral, stool and, vaginal samples were self‐collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis.Main Outcome MeasuresCompositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis.ResultsThe composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis.ConclusionsTaxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial‐based treatments and the design of a diagnostic swab. ABSTRACT Objective To identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker. Design Prospective cohort pilot study. Setting Nepean Hospital and UNSW Microbiome Research Centre, Australia. Population Sixty‐four age‐ and sex‐matched subjects (n = 19 healthy control (HC); n = 24 non‐endometriosis (N‐ENDO) and n = 21 confirmed endometriosis (ENDO)). All study participants, besides healthy controls, underwent laparoscopic surgical assessment for endometriosis, and histology was performed on excised lesions. Methods Oral, stool and, vaginal samples were self‐collected at a single time point for healthy controls, and preoperatively for patients undergoing laparoscopy. Samples underwent 16S rRNA amplicon sequencing, followed by bioinformatics analysis. Main Outcome Measures Compositional differences between cohorts as identified by diversity analyses, and differentially abundant microbial taxa, as identified by LEfSE analysis. Results The composition of the oral (adjusted p = 0.003), and stool (adjusted p = 0.042) microbiota is different between the three cohorts. Differentially abundant taxa are present within each cohort as identified by LEfSE analysis. Particularly, Fusobacterium was enriched in the oral samples of patients with moderate/severe endometriosis. Conclusions Taxonomic and compositional differences were found between the microbiota in the mouth, gut and, vagina of patients with and without endometriosis and healthy controls. Fusobacterium was enriched in patients with moderate/severe endometriosis. Fusobacterium is noted as a key pathogen in periodontal disease, a common comorbidity in endometriosis. These findings suggest a role for the oral, stool and, vaginal microbiome in endometriosis, and present potential for microbial‐based treatments and the design of a diagnostic swab. |
Author | Leonardi, Mathew Hicks, Chloe Chua, Xin‐Yi Espada, Mercedes El‐Omar, Emad M. Mari‐Breedt, Lisa Condous, George El‐Assaad, Fatima |
AuthorAffiliation | 1 Microbiome Research Centre, School of Clinical Medicine, UNSW Medicine & Health, St George & Sutherland Clinical Campuses UNSW Sydney Sydney New South Wales Australia 2 Endometriosis Ultrasound and Advanced Endosurgery Unit, Sydney Medical School Nepean Nepean Hospital, University of Sydney Sydney New South Wales Australia |
AuthorAffiliation_xml | – name: 2 Endometriosis Ultrasound and Advanced Endosurgery Unit, Sydney Medical School Nepean Nepean Hospital, University of Sydney Sydney New South Wales Australia – name: 1 Microbiome Research Centre, School of Clinical Medicine, UNSW Medicine & Health, St George & Sutherland Clinical Campuses UNSW Sydney Sydney New South Wales Australia |
Author_xml | – sequence: 1 givenname: Chloe orcidid: 0000-0003-0422-432X surname: Hicks fullname: Hicks, Chloe organization: UNSW Sydney – sequence: 2 givenname: Mathew orcidid: 0000-0001-5538-6906 surname: Leonardi fullname: Leonardi, Mathew organization: Nepean Hospital, University of Sydney – sequence: 3 givenname: Xin‐Yi surname: Chua fullname: Chua, Xin‐Yi organization: UNSW Sydney – sequence: 4 givenname: Lisa surname: Mari‐Breedt fullname: Mari‐Breedt, Lisa organization: UNSW Sydney – sequence: 5 givenname: Mercedes surname: Espada fullname: Espada, Mercedes organization: Nepean Hospital, University of Sydney – sequence: 6 givenname: Emad M. surname: El‐Omar fullname: El‐Omar, Emad M. organization: UNSW Sydney – sequence: 7 givenname: George surname: Condous fullname: Condous, George email: george.condous@sydney.edu.au organization: Nepean Hospital, University of Sydney – sequence: 8 givenname: Fatima surname: El‐Assaad fullname: El‐Assaad, Fatima email: f.el‐assaad@unsw.edu.au organization: UNSW Sydney |
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Copyright | 2024 The Author(s). published by John Wiley & Sons Ltd. 2024 The Author(s). BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd. 2024. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | microbiota bacteria inflammation endometriosis oral diagnostic biomarker microbiome dysbiosis |
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Notes | Correction added on 30 October 2024, after first online publication: Mercedes Espada’s surname has been corrected in this version. This work was supported by the Australian Government and the University of New South Wales. Grant from the Australian Federal Government through the St George & Sutherland Medical Research Foundation 2018 to EEO and FEA. UNSW Career Advancement Fund to FEA 2021. The funders played no part in conducting the research or writing the paper. Funding Chloe Hicks and Mathew Leonardi equal first authors. George Condous and Fatima El‐Assaad equal last and corresponding authors. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding: This work was supported by the Australian Government and the University of New South Wales. Grant from the Australian Federal Government through the St George & Sutherland Medical Research Foundation 2018 to EEO and FEA. UNSW Career Advancement Fund to FEA 2021. The funders played no part in conducting the research or writing the paper. |
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Objective
To identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker.
Design
Prospective cohort pilot study.... To identify a microbial signature for endometriosis for use as a diagnostic non-invasive biomarker. Prospective cohort pilot study. Nepean Hospital and UNSW... ObjectiveTo identify a microbial signature for endometriosis for use as a diagnostic non‐invasive biomarker.DesignProspective cohort pilot study.SettingNepean... To identify a microbial signature for endometriosis for use as a diagnostic non-invasive biomarker.OBJECTIVETo identify a microbial signature for endometriosis... |
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SubjectTerms | Adult bacteria Bioinformatics biomarker Biomarkers Biomarkers - analysis Case-Control Studies Comorbidity diagnostic dysbiosis Endometriosis Endometriosis - diagnosis Endometriosis - microbiology Feces - microbiology Female Fusobacterium Humans inflammation Laparoscopy Medical diagnosis microbiome Microbiomes Microbiota Microorganisms Mouth - microbiology oral Periodontal diseases Pilot Projects Population studies Prospective Studies RNA, Ribosomal, 16S - analysis rRNA 16S Vagina Vagina - microbiology |
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Title | Oral, Vaginal, and Stool Microbial Signatures in Patients With Endometriosis as Potential Diagnostic Non‐Invasive Biomarkers: A Prospective Cohort Study |
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