- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06074601
MIRACLE of LIFE Study (MoL)
October 3, 2023 updated by: Mirvie
Observational Study of Pregnant People to Validate Biomarkers of Pregnancy Complication Risk
The goal of this observational study is to develop and validate cell-free RNA-based biomarkers for predicting a variety of adverse pregnancy outcomes in a pregnant person population. The main question it aims to answer are:
- Can cell-free RNA-based biomarkers predict which pregnant people are at greatest risk of developing adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)?
- What is the performance of such biomarkers when predicting an adverse pregnancy outcome (e.g., sensitivity, specificity, PPV, NPV, TPR)?
Study Overview
Status
Active, not recruiting
Conditions
Intervention / Treatment
Detailed Description
This is a multi-center, prospective, observational cohort study, that involves the collection of blood samples from pregnant people during their second trimester of pregnancy.
Maternal plasma is isolated from blood samples and subjected to transcriptome and other multi-omic analyses.
In conjunction with blood sample collection, extensive clinical data are collected about the pregnancy including any pregnancy complications (e.g., preterm birth, preeclampsia) that may have arisen during pregnancy.
Biological markers and clinical data are combined to develop and validate Mirvie's investigational predictive test.
Study Type
Observational
Enrollment (Estimated)
10000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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California
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San Diego, California, United States, 92121
- University of California San Diego
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Florida
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Orlando, Florida, United States, 32803
- Women's Care Florida
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Louisiana
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New Orleans, Louisiana, United States, 70115
- Ochsner Health System
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Massachusetts
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Boston, Massachusetts, United States, 02215
- Beth Israel Deaconess Medical Center
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Missouri
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Saint Louis, Missouri, United States, 63108
- Washington University School of Medicine
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Ohio
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Columbus, Ohio, United States, 43210
- The Ohio State University
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19107
- Thomas Jefferson University
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Pittsburgh, Pennsylvania, United States, 15213
- University of Pittsburgh Medical Center
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Texas
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Galveston, Texas, United States, 77555
- University of Texas Medical Branch
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Washington
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Tacoma, Washington, United States, 98405
- MultiCare
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-
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
- Adult
- Older Adult
Accepts Healthy Volunteers
N/A
Sampling Method
Non-Probability Sample
Study Population
This study will enroll a diverse and representative population of pregnant people from across the United States who meet study inclusion and exclusion criteria
Description
Inclusion Criteria:
- Subject is willing and able to provide written informed consent.
- Subject is willing and able to provide up to 40 mL of blood via venipuncture and comply with all other study procedures.
- Subject is a pregnant female before 22 weeks of gestation
- Subject is at least 18 years of age
Exclusion Criteria:
- Estimated due date (EDD) via 1st or 2nd ultrasound, date of last menstrual period (LMP), or in-vitro fertilization (IVF) implantation date is not available
- Subject is pregnant with multifetal gestation (e.g., twins)
- Subject is planning to deliver via home birth
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 |
---|---|
Pregnant People
Enrolling any pregnant person over the age of 18 with a singleton pregnancy with their pregnancy having been effectively dated by first trimester ultrasound or last menstrual period
|
This is a proprietary biomarker and clinical factor-based algorithm for predicting which pregnancies are at greatest risk of developing a variety of adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Clinical validation of cell-free RNA-based biomarkers of adverse pregnancy outcomes
Time Frame: December 2024
|
This study will measure the test performance (e.g., ROC, sensitivity, specificity, negative and positive predictive value) of cell-free RNA-based biomarkers that are predictive of a variety of adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)
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December 2024
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Discovery of multi-omic biomarkers of adverse pregnancy outcomes
Time Frame: December 2026
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This study will enable the identification of other biomarkers (e.g., proteomic, metabolomic) of adverse pregnancy outcomes
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December 2026
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Rasmussen M, Reddy M, Nolan R, Camunas-Soler J, Khodursky A, Scheller NM, Cantonwine DE, Engelbrechtsen L, Mi JD, Dutta A, Brundage T, Siddiqui F, Thao M, Gee EPS, La J, Baruch-Gravett C, Santillan MK, Deb S, Ame SM, Ali SM, Adkins M, DePristo MA, Lee M, Namsaraev E, Gybel-Brask DJ, Skibsted L, Litch JA, Santillan DA, Sazawal S, Tribe RM, Roberts JM, Jain M, Hogdall E, Holzman C, Quake SR, Elovitz MA, McElrath TF. RNA profiles reveal signatures of future health and disease in pregnancy. Nature. 2022 Jan;601(7893):422-427. doi: 10.1038/s41586-021-04249-w. Epub 2022 Jan 5.
- Camunas-Soler J, Gee EPS, Reddy M, Mi JD, Thao M, Brundage T, Siddiqui F, Hezelgrave NL, Shennan AH, Namsaraev E, Haverty C, Jain M, Elovitz MA, Rasmussen M, Tribe RM. Predictive RNA profiles for early and very early spontaneous preterm birth. Am J Obstet Gynecol. 2022 Jul;227(1):72.e1-72.e16. doi: 10.1016/j.ajog.2022.04.002. Epub 2022 Apr 6.
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)
August 1, 2021
Primary Completion (Estimated)
June 30, 2024
Study Completion (Estimated)
December 31, 2025
Study Registration Dates
First Submitted
October 3, 2023
First Submitted That Met QC Criteria
October 3, 2023
First Posted (Actual)
October 10, 2023
Study Record Updates
Last Update Posted (Actual)
October 10, 2023
Last Update Submitted That Met QC Criteria
October 3, 2023
Last Verified
October 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Cardiovascular Diseases
- Vascular Diseases
- Glucose Metabolism Disorders
- Metabolic Diseases
- Wounds and Injuries
- Endocrine System Diseases
- Diabetes Mellitus
- Fetal Diseases
- Pregnancy Complications
- Obstetric Labor Complications
- Growth Disorders
- Hypertension
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Rupture
- Premature Birth
- Pre-Eclampsia
- Fetal Growth Retardation
- Obstetric Labor, Premature
- Diabetes, Gestational
- Pregnancy in Diabetics
- Hypertension, Pregnancy-Induced
- Fetal Membranes, Premature Rupture
Other Study ID Numbers
- MV-001
- Pro00050765 (Other Identifier: Advarra IRB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
IPD will not be made available to other researchers
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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