MoL: MIRACLE of LIFE Study
Study Details
Study Description
Brief Summary
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:
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Can cell-free RNA-based biomarkers predict which pregnant people are at greatest risk of developing adverse pregnancy outcomes (e.g., preterm birth, preeclampsia)?
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What is the performance of such biomarkers when predicting an adverse pregnancy outcome (e.g., sensitivity, specificity, PPV, NPV, TPR)?
Condition or Disease | Intervention/Treatment | Phase |
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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 Design
Arms and Interventions
Arm | Intervention/Treatment |
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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 |
Diagnostic Test: Mirvie Predictive Test for Adverse Pregnancy Outcomes
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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Outcome Measures
Primary Outcome Measures
- Clinical validation of cell-free RNA-based biomarkers of adverse pregnancy outcomes [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)
Secondary Outcome Measures
- Discovery of multi-omic biomarkers of adverse pregnancy outcomes [December 2026]
This study will enable the identification of other biomarkers (e.g., proteomic, metabolomic) of adverse pregnancy outcomes
Eligibility Criteria
Criteria
Inclusion Criteria:
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Subject is willing and able to provide written informed consent.
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Subject is willing and able to provide up to 40 mL of blood via venipuncture and comply with all other study procedures.
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Subject is a pregnant female before 22 weeks of gestation
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Subject is at least 18 years of age
Exclusion Criteria:
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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
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Subject is pregnant with multifetal gestation (e.g., twins)
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Subject is planning to deliver via home birth
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | University of California San Diego | San Diego | California | United States | 92121 |
2 | Women's Care Florida | Orlando | Florida | United States | 32803 |
3 | Ochsner Health System | New Orleans | Louisiana | United States | 70115 |
4 | Beth Israel Deaconess Medical Center | Boston | Massachusetts | United States | 02215 |
5 | Washington University School of Medicine | Saint Louis | Missouri | United States | 63108 |
6 | The Ohio State University | Columbus | Ohio | United States | 43210 |
7 | Thomas Jefferson University | Philadelphia | Pennsylvania | United States | 19107 |
8 | University of Pittsburgh Medical Center | Pittsburgh | Pennsylvania | United States | 15213 |
9 | University of Texas Medical Branch | Galveston | Texas | United States | 77555 |
10 | MultiCare | Tacoma | Washington | United States | 98405 |
Sponsors and Collaborators
- Mirvie
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- 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.
- 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.
- MV-001
- Pro00050765