Transcriptomic profile assessment for preeclampsia prediction and early diagnostics

Aim : to develop a model for predicting preeclampsia (PE) based on the clinically most significant differentially expressed plasma microRNAs. Materials and Methods . A prospective observational comparative study was conducted with 62 women, divided into two parallel groups: 32 patients with PE and 30 clinically healthy women with uncomplicated pregnancy. Transcriptomic analysis was performed to identify differentially expressed blood plasma microRNAs using next generation sequencing (NGS). Results . Calculation of risk ratios for PE development allowed to identify 14 plasma microRNAs that influence the development of PE pathology. PE-associated microRNAs hsa-miR-103a-3p, hsa-miR-451a and hsa-miR-516a-5p have a high diagnostic value when combined to assess their blood plasma expression level in early pregnancy stages. Conclusion . The developed prognostic model can be applied to pregnant women at risk for PE development, which may further reduce obstetric complications and improve perinatal outcomes.