Study published in AJOG shows the Mirvie RNA Platform predicts 76% of early preterm birth cases and identifies distinct pathways driving the condition’s development
Study analyzed tens of thousands of RNA messages from 242 ethnically diverse pregnancies
AJOG Original Research Graph
Camunas-Soler, et al. Predictive RNA profiles for early and very early spontaneous preterm birth. AJOG. 2022.
  • RNA messages can predict spontaneous preterm birth months before symptoms occur and identify distinct pathways driving its development
  • RNA messages related to premature changes to the cervix predicted 3 out of 4 cases of early preterm birth (<35 weeks), two months in advance on average
  • Distinct RNA messages involved with amino acid metabolism and insulin-like growth factor pathways predicted cases of extremely premature birth (less than 25 weeks)
“Preterm birth remains exceptionally challenging to predict and treat because we lack a comprehensive understanding of the underlying causes that drive it. It is vital for us to understand the biology leading to preterm birth so we can better address this complex condition and reduce its devastating burden on moms and babies. This is an encouraging study because it sheds new light on this often-catastrophic outcome for moms, babies and families.”
Cynthia Gyamfi-Bannerman, M.D., M.S.
Maternal-Fetal Medicine Specialist, Professor and Chair of the Department of Obstetrics, Gynecology, and Reproductive Sciences at UC San Diego Health and a Principal Investigator of ongoing studies evaluating the Mirvie RNA Platform
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