Robert Morey, Lara Poling, Srimeenakshi Srinivasan, Carolina Martinez-King, Adanna Anyikam, Kathy Zhang-Rutledge, Cuong To, Abbas Hakim, Marina Mochizuki, Kajal Verma, Antoinette Mason, Vy Tran, Morgan Meads, Leah Lamale-Smith, Hilary Roeder, Mariko Horii, Gladys A Ramos, Peter DeHoff, Mana M Parast, Priyadarshini Pantham, Louise C Laurent
We report on the identification of extracellular miRNA (ex-miRNA) biomarkers for early diagnosis and prognosis of preeclampsia (PE). Small RNA sequencing of maternal serum prospectively collected from participants undergoing evaluation for suspected PE revealed distinct patterns of ex-miRNA expression among different categories of hypertensive disorders in pregnancy. Applying an iterative machine learning method identified three bivariate miRNA biomarkers ( miR-522-3p/miR-4732-5p , miR-516a-5p/miR-144-3p , and miR-27b-3p/let-7b-5p ) that, when applied serially, distinguished between PE cases of different severity and differentiated cases from controls with a sensitivity of 93%, specificity of 79%, positive predictive value (PPV) of 55%, and negative predictive value (NPV) of 89%...
December 22, 2023: Science Advances