Observational Study of Epigenomic Dysregulation in Preeclampsia-Associated Chronic Hypertension

Women comprise 51% of the total heart disease deaths in the United States (NC with an estimated economic cost expected to climb to more than $258 billion. Hypertension, a prevalent manifestation of early cardiovascular disease, is a silent condition that contributes to significant adverse health consequences. Preeclampsia (PE), a form of pregnancy-induced hypertension diagnosed in the second half of pregnancy, is now established as a non-modifiable risk factor for future development of hypertension. As PE carries a familial risk for future development of PE in female offspring, the implications of increased risk for PE-associated future development of chronic hypertension further compounds the significance of this unique cardiovascular risk. This raises an important health concern, though little is known about the mechanisms underlying risk of PE-associated future chronic hypertension. As epigenetic patterns of DNA methylation are associated with transfer across generations and are known to be dysregulated in PE, we propose to test the central hypothesis that differential DNA methylation patterns in key cardiovascular genes identified in women with PE serve as a biomarker and predictor for therapeutic responsiveness for the remote diagnosis and prognosis of chronic hypertension, respectively. Therefore, the purpose of this study is to identify distinct epigenetic patterns of DNA methylation associated with preeclampsia (PE) that underlie the future development of hypertension and to determine the implication on responses to moderators and therapeutic interventions in the management of chronic hypertension.Univariate analysis of variance will be used to test associations between DNA methylation in genes and chronic hypertension among women with and without a history of preeclampsia. We will use multiple linear regression to examine differences in treatment responses to high blood pressure based on DNA methylation patterns in candidate cardiovascular genes.