Related Experiment Video
Updated: Jul 7, 2026

08:07
Establishment of an Experimental Mouse Model of Endometrioma to Study its Related Infertility
Published on: April 5, 2024
Predictive markers of endometriosis: a future perspective.
Alexandre Vallée1, Jean-Marc Ayoubi2,3
1Department of Epidemiology and Public Health, Foch Hospital, 40 Rue Worth, Suresnes, France. al.vallee@hopital-foch.com.
Archives of Gynecology and Obstetrics
|July 6, 2026
Summary
Endometriosis, a gynecological disorder, is challenging to diagnose early. Research is exploring genetic, inflammatory, and lifestyle factors as potential biomarkers for earlier risk stratification and intervention.
Area of Science:
- Gynecology
- Reproductive Health
- Chronic Disease Research
Background:
- Endometriosis affects up to 10% of women of reproductive age, causing pain and infertility.
- It is characterized by endometrial-like tissue outside the uterus and is difficult to diagnose early.
- Endometriosis shares genetic and molecular pathways with chronic pain and inflammatory conditions.
Purpose of the Study:
- To review emerging predictive markers for endometriosis risk stratification.
- To highlight the multifactorial nature of the disorder.
- To emphasize the need for improved diagnostic and preventive strategies.
Main Methods:
- This narrative review synthesizes current evidence on predictive markers for endometriosis.
- It examines genetic, epigenetic, clinical, and psychosocial factors.
- The review focuses on associations with disease initiation, development, and symptom severity.
Main Results:
- Candidate markers include genetic/epigenetic alterations, dysmenorrhea, migraine, autoimmune disorders, and stress.
- These factors are linked to disease onset, lesion progression, and symptom severity.
- Interactions between these factors may enable multimodal risk stratification.
Conclusions:
- Endometriosis is a complex disorder with multifactorial origins.
- Emerging biomarkers show promise for improved risk assessment.
- Further large-scale prospective studies are crucial for validation and targeted interventions.