Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.
Journal:
BMC pregnancy and childbirth
PMID:
39934690
Abstract
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Previous studies have shown that the immune system is involved in the placental trophoblast function and the pathological process of uterine vascular remodeling in PE. However, its molecular mechanism is still unclear. This study aimed to identify critical genes and immune cells involved in the pathological process of PE.