AIMC Topic: Pre-Eclampsia

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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Journal of clinical hypertension (Greenwich, Conn.) Jan 1, 2025
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of var...
Humans Machine Learning Pregnancy Female Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Computational Biology Databases, Genetic Pre-Eclampsia Gene Ontology
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Mechanism of liver X receptor α and ATP binding cassette transporter A1 involved in preeclampsia using an optimized deep learning model.

European review for medical and pharmacological sciences Jul 1, 2023
OBJECTIVE: Preeclampsia (PE) is a complex disease-causing multisystem damage. Many genes, environmental factors, and their interactions are involved in the development and progression of PE. The pathogenesis of PE is not fully understood, limiting th...
Humans Female Deep Learning RNA, Messenger Pre-Eclampsia Cholesterol, HDL ATP-Binding Cassette Transporters ATP Binding Cassette Transporter 1 Liver X Receptors Orphan Nuclear Receptors
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Clinical Assessment of Soluble FMS-Like Tyrosine Kinase-1/Placental Growth Factor Ratio for the Diagnostic and the Prognosis of Preeclampsia in the Second Trimester.

Clinical laboratory Oct 1, 2016
BACKGROUND: Preeclampsia is one of the most common and serious complications of pregnancy. Various reports have demonstrated that disturbances in angiogenic and antiangiogenic factors are implicated in its pathogenesis and have possible relevance in ...
Humans Prognosis Pregnancy Female Young Adult Adult Case-Control Studies Adolescent Pre-Eclampsia Pregnancy Trimester, Second Vascular Endothelial Growth Factor Receptor-1 Placenta Growth Factor
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