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An Integrated Multi-tissue Approach For Endometriosis Candidate Biomarkers: A Systematic Review.

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An Integrated Multi-tissue Approach For Endometriosis Candidate Biomarkers: A Systematic Review.

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An integrated multi-tissue approach for endometriosis candidate biomarkers: a systematic review.

Axelle Brulport¹, Mathilde Bourdon^2,3, Daniel Vaiman²

¹Institut Pasteur, Université Paris Cité, CNRS UMR 3525, INSERM UA12, Comparative Functional Genomics Group, Paris, 75015, France. axelle.brulport@inserm.fr.

Reproductive Biology and Endocrinology : RB&E

|February 10, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Identifying reliable endometriosis biomarkers remains challenging. This review comprehensively analyzes 1107 biomarkers across 9 compartments, highlighting the need for integrative approaches to improve diagnosis and patient care for endometriosis.

Keywords:

Biological compartments Candidate biomarkers Endometriosis Endometriosis phenotypes

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Area of Science:

Reproductive Medicine and Biology
Gynecology
Biomarker Discovery

Background:

Endometriosis pathophysiology requires better understanding through biomarker identification for improved non-invasive diagnostics and prognostics.
Current research lacks an integrative, cross-tissue approach to endometriosis biomarker analysis, hindering clinical validation.

Approach:

A comprehensive review of 447 articles published between 2005 and 2022, focusing on endometriosis biomarkers across various biological compartments.
Systematic search of PubMed and Embase databases using specific keywords and inclusion criteria for human studies with control groups.
Analysis and summarization of identified biomarkers (1107 total) by biological compartment, considering endometriosis phenotypes, menstrual cycle, symptoms, and treatments.

Key Points:

Peripheral blood, eutopic endometrium, and peritoneal fluid are the most frequently studied compartments for endometriosis biomarkers.
Only 4 biomarkers (TNF-a, MMP-9, TIMP-1, miR-451) were consistently detected across at least 3 tissues by independent research teams.
Limited adjustment for disease phenotypes (70%), cycle phases (29%), symptoms (6%), and treatments (3%) in reviewed studies complicates biomarker interpretation.

Conclusions:

An integrative analysis of biomarkers across tissues is crucial for overcoming challenges in clinical validation and understanding endometriosis pathophysiology.
The identified biomarkers and the comprehensive overview provide a foundation for future research and the development of diagnostic and prognostic tools for endometriosis.