Endometriosis Impact on Oocyte Quality (EndOvo)

Characterization of Normal and Pathological Oocyte Cohort After Controlled Ovarian Stimulation: Example of Endometriosis

The aim of this study is to evaluate the impact of endometriosis on folliculogenesis and oocyte quality. To do so, a metabolomic approach will be conducted in order to analyze the follicular fluid. This evaluation will be completed by a transcriptomic analysis from the cumulus cells of the oocyte.

The normal and pathological oocyte cohort after controlled ovarian stimulation will be also characterized by identifying the oocyte leading to live birth.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Endometriosis pathophysiology remains under controversy. Among the various issues raised, that of his involvement in an implantation failure related to an alteration of the endometrium is advanced by some authors. For others, infertility would be linked to an alteration of the oocyte quality responsible for embryonic development impairment leading to a lack of implantation. Several research groups have also mentioned the association of the two mechanisms.

The oocyte quality evaluation is also subject to controversy. Indeed, its morphological approach remains the most commonly used in routine at the IVF laboratory. However, this tool remains limited and to date, no correlation between oocyte morphology and ART outcomes have been established. In this context, there is a real need to use functional approaches such as genomics, transcriptomics, proteomics and metabolomics. However, the clinical validation and application of these functional tools have to be evaluated from a human pathology model such as endometriosis.

Study Type

Observational

Enrollment (Anticipated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Paris, France, 75014
        • Recruiting
        • Hôpital Cochin-Port Royal
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

patients enrolled in a ART (assisted reproductive technology) attempt in the IVF unit of the center.

Description

Inclusion Criteria:

Group 1: case

a. Womens with endometriosis i. Deep endometriosis without ovarian localisation ii. Deep endometriosis associated with ovarian localisation iii. Isolated ovarian localisation b. Male partner with normal sperm parameters Group 2 : control

  1. Womens with isolated tubal factor
  2. Male partner with normal sperm parameters

Exclusion Criteria:

  • Other pathologies responsible for female infertility
  • Altered sperm parameters
  • Male or female viral risk
  • Oocyte or sperm donation

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Case : endometriosis
Infertile patients with endometriosis that is the only cause of their infertility
Control : tubal factor
infertile patients with tubal factor that is the only cause of their infertility

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolic profile
Time Frame: 2 years
Identification of a possible particular metabolomic profile from the follicular fluid in endometriosis
2 years
Transcriptomic profile
Time Frame: 2 years
Identification of a possible particular transcriptomic profile from the cumulus cells in endometriosis
2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Oocyte characterization
Time Frame: 2 years
Identification of a possible transcriptomic profile from the cumulus cells of the oocyte which could be predictive of live birth. Search of correlations between these profiles and (i) oocyte and embryo morphology and (ii) clinical and neonatal outcomes after embryo transfer.
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Khaled POCATE-CHERIET, MD, PhD, Assistance Publique - Hôpitaux de Paris

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 26, 2018

Primary Completion (Anticipated)

November 12, 2021

Study Completion (Anticipated)

November 12, 2021

Study Registration Dates

First Submitted

August 2, 2017

First Submitted That Met QC Criteria

August 2, 2017

First Posted (Actual)

August 7, 2017

Study Record Updates

Last Update Posted (Actual)

July 14, 2021

Last Update Submitted That Met QC Criteria

July 12, 2021

Last Verified

July 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2017-A01163-50

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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