Genomics and Microbiome Investigation in Cases of Recurrent Pregnancy Losses

September 17, 2024 updated by: Hospital de Clinicas de Porto Alegre

Evaluation of Predisposing Factors for Idiopathic Recurrent Pregnancy Losses: a Study Using a Genomic and Microbiota Approach

Recurrent pregnancy losses (RPL) are characterized by the occurrence of more than one spontaneous pregnancy loss. It is caused by different known factors, but about half of the cases remain without an explanation. Efforts are being done in the scientific community to solve this cases. In this study, the investigators aim to investigate genetic factors that might predispose to RPL, as well as the influence of the uterine microbiota (microorganisms that normally live in the uterus of women).

Study Overview

Detailed Description

Recurrent pregnancy losses (RPL) are adverse reproductive outcomes characterized by the occurrence of more than one spontaneous pregnancy loss. It is estimated that RPL occurs in 1 to 5% of couples in reproductive period and is caused by different known factors. Despite this, around half of the cases remain without a defined etiology. In this context, efforts are being done in the scientific community to elucidate idiopathic cases. Among them, robust genomic investigations, such as exome sequencing, stand out for maximizing the chances of identifying causative gene variants rather than a gene-specific approach. Another front of study to understand the factors that modulate complex etiology conditions such RPL is the characterization of the microbiota of different anatomical sites. Each human anatomical site presents a distinct microbiota selected through a long co-evolutionary process and its individual and pathological variability can lead to functional repercussions. Therefore, the aim of this study is to investigate factors predisposing to recurrent pregnancy loss through a genomic evaluation and characterization of the uterine microbiota of patients affected by RPL. To achieve this, two approaches will be conducted: a genomic approach, where the exome of women with RPL will be analyzed and compared with population genomic databases; and a etagenomic approach, where the characterization of the uterine microbiota of women with RPL will be performed and compared with that of fertile women. Using the data produced in this study, the investigators hope to be able to understand more broadly how the genome influences the predisposition to RPL and how changes in certain marker genes can lead to an increased risk for the occurrence of this reproductive condition. Furthermore, based on analyzes of the uterine microbiota, the investigators hope to be able to understand how the variability of microorganisms present in this organ acts during pregnancy, especially in cases of RPL. The results of the investigations proposed in this project will help to understand the predisposing factors to RPL and may lead to the development of new investigative approaches, such as the design of genetic panels and analyzes of the uterine microbiota, which may have an impact on the clinical management of the condition in the future.

Study Type

Observational

Enrollment (Estimated)

20

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

  • Name: Lucas Rosa Fraga, PhD, Professor
  • Phone Number: +555133597661
  • Email: lrfraga@hcpa.edu.br

Study Contact Backup

Study Locations

    • RS
      • Porto Alegre, RS, Brazil, 90410-000
        • Recruiting
        • Hospital de Clinicas de Porto Alegre (HCPA)
        • Contact:
        • Contact:
        • Contact:
          • Lucas Rosa Fraga, PhD, Professor

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Women who seek the Gynecology and Obstetrics Service of the Hospital de Clínicas de Porto Alegre (HCPA) for care and investigation of causes of infertility or for exams not related to this condition will be included in the study.

Description

Inclusion Criteria:

  • RPL group: history of at least two spontaneous pregnancy losses, regardless of whether they have living children, and whose etiology for the pregnancy losses was not determined by the care team's protocols;
  • Control group: at least two full-term pregnancies and no history of difficulty getting pregnant, pregnancy loss or other infertility factors.

Exclusion Criteria:

  • RPL group: less than two spontaneous pregnancy losses and those with a known cause for repeated pregnancy losses;
  • Control group: N/A

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
RPL group
The RPL group will include women with a history of at least two spontaneous pregnancy losses, regardless of whether they have living children, and whose etiology for the pregnancy losses was not determined by the care team's protocols.
An exome will be performed on the participants of RPL group.
A cervical microbiota analysis will be performed in the RPL and control groups.
Control group
Women with at least two full-term pregnancies and no history of difficulty getting pregnant, pregnancy loss or other infertility factors will be enrolled in the control group.
A cervical microbiota analysis will be performed in the RPL and control groups.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Microbiome
Time Frame: At the time of enrollment
The participants microbiome will be evaluated aiming to compare the species profile between cases and controls. The bacteria present in the microbiome will be described at the genus and species level.
At the time of enrollment
Exome
Time Frame: At the time of enrollment
The participants exomes will be evaluated to look for variants in specific genes, aiming to identify rare variants that will be compared with frequencies from population genomic databases. The impact of the identified variants on proteins will be assessed through in silico functional predictors.
At the time of enrollment

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Lucas Rosa Fraga, PhD, Professor, Hospital de Clinicas de Porto Alegre

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)

April 14, 2023

Primary Completion (Actual)

July 5, 2024

Study Completion (Estimated)

December 1, 2025

Study Registration Dates

First Submitted

September 9, 2024

First Submitted That Met QC Criteria

September 17, 2024

First Posted (Estimated)

September 19, 2024

Study Record Updates

Last Update Posted (Estimated)

September 19, 2024

Last Update Submitted That Met QC Criteria

September 17, 2024

Last Verified

September 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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