Transcriptomic profile assessment for preeclampsia prediction and early diagnostics

• Main Authors: A. V. Melnik (Author), V. E. Solovyova (Author), Yu. O. Yatsenko (Author), A. E. Filippova (Author), E. G. Asryan (Author), T. Е. Seitumerov (Author), E. R. Myshak (Author), Yu. A. Chernysheva (Author), S. A. Ziyadinova (Author), V. O. Kononenko (Author), M. R. Kadyrova (Author), A. A. Denisenko (Author), K. T. Ismagilova (Author), D. V. Mushinsky (Author), L. E. Sorokina (Author)
• פורמט: ספר
• יצא לאור: IRBIS LLC, 2024-07-01T00:00:00Z.
• נושאים: article
• גישה מקוונת: Connect to this object online.

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 c...