Unknown

Dataset Information

Inflammation in Preeclampsia: Genetic Biomarkers, Mechanisms, and Therapeutic Strategies.


ABSTRACT:

Objective

Preeclampsia is a common and serious complication of pregnancy, posing a threat to maternal and fetal safety due to the lack of effective biomarkers and treatment strategies. This study aimed to identify potential biomarkers that can be used to predict preeclampsia and identify the molecular mechanisms of preeclampsia pathogenesis and drug prediction at the transcriptome level.

Methods

We analyzed differential expression genes (DEGs) in preeclampsia and non-preeclampsia groups in the GSE75010 dataset, cross-linking with extracted inflammatory response-related genes to obtain differentially expressed inflammation-related genes (DINRGs). Enrichment analysis and protein-protein interaction (PPI) networks were constructed to understand the functions and enrichment path

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9307876 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature