MIRACLE of LIFE Study (MoL)
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
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Locations
-
-
California
-
San Diego, California, United States, 92121
- University of California San Diego
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Florida
-
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
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / 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
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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)
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What is the study measuring?
Primary Outcome Measures
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
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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
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Secondary Outcome Measures
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
|
December 2026
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Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
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
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Endocrine System Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Wounds and Injuries
- Pathologic Processes
- Female Urogenital Diseases and Pregnancy Complications
- Metabolic Diseases
- Obstetric Labor Complications
- Pregnancy Complications
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Fetal Diseases
- Growth Disorders
- Hypertension
- Premature Birth
- Diabetes, Gestational
- Pre-Eclampsia
- Fetal Membranes, Premature Rupture
- Fetal Growth Retardation
- Hypertension, Pregnancy-Induced
- Rupture
- Obstetric Labor, Premature
- Pregnancy in Diabetics
Other Study ID Numbers
Other Study ID Numbers
- MV-001
- Pro00050765 (Other Identifier: Advarra IRB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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