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Preeclampsia (PE) is a serious complication of pregnancy. It is considered a complex condition influenced by maternal genes, environmental factors and a deregulated immune response of the mother, but the etiology is largely unknown. The aim of this study is to identify differentially expressed genes (DEGs) in PE, to help elucidate the identification of the disease etiological mechanisms.

The databases Pubmed and GEO were searched according to PRISMA guidelines for the existence of gene expression data on placental samples from case-control studies. After meta-analysis the identified DEGs were further analyzed with STRING and PANTHER to retrieve interaction networks and overrepresented biochemical pathways.

Only 10 gene expression datasets and articles fulfilled inclusion criteria, containing data on 195 patients and 231 controls, and were analyzed. Meta-analysis …