Pre-eclampsia is a pregnancy condition affecting 5-10% of pregnancies, and it is the leading cause of death in pregnancy associated with increased risk of cardiovascular disease later in life. Despite research, the pathogenesis of pre-eclampsia is still poorly understood. In this paper, we investigate the overlapping pathogenic mechanisms between pre-eclampsia and adult hypertension using an integrative biomedical informatics strategy that combined text mining techniques to identify genes and proteins, with geneset analyses, generating knowledge on the pathways and mechanisms involved in these conditions. We identified several overlapping pathogenic pathways/systems including metabolic pathways, developmental biology pathways, immune system, haemostasis, tyrosine kinase pathways, extracellular matrix and oxidative stress pathways. This bioinformatics approach could be applied for investigating mechanistic pathways of other disorders.
Keywords: Computational Biology; Data Mining; Pre-Eclampsia.