Background: Hypertension in preeclampsia (PE) is one of the most important complications in these patients, which increases the risk of cardiovascular disease (CVD). Bioinformatics analysis can identify the signaling pathways, genes and microRNAs involved in the development of CVD due to hypertension; it can also reduce the risk of developing PE by providing appropriate target therapies.Method: In this study, after collecting data and determining the gene list, changes in gene expression in patients with severe and non-severe forms of PE were compared. Protein-Protein interaction (PPI) and pathway enrichment analysis were also used to evaluate the common genes and pathways between the two cited forms of PE. Result: FGF, TNF, Adherent junction, metabolic signaling pathway, GATA3-mediated activation pathways of Th2, EGF / EGFR signaling pathway and Rab GTPase among the most important signaling pathways are effective in CVD development. HLTF, SUMO1, KDR, SNRPD3, DERL2, VCP, EIF4B, NOTCH1, SOCS3, CBL, ICAM-1, ITGB2, STRN, MEF2A and PTPRC are the most important genes and miR-3135-3P, miR-505, miR-6088, miR-451, miR-4637-3P, miR-1281-3P, miR-4304-3P, miR-323-3P, miR-3150-3p.1, miR-4718, miR-151-5p, miR-3117-5p.2, miR-3613, miR-1278- 3P, miR-4467, miR-4730 , miR-190b-3p , miR-610-5p, miR-3648-3p , miR-4796-3p, miR-2277-3P, miR-325, miR- 6807-3p , miR-551a-3p, and miR-3131-3P have been also effective in the development of CVD by hypertension in PE patients. Conclusion: Finally, it was concluded that identification of common signaling pathways, genes and microRNAs between severe and non-severe forms of PE can be effective to design preventive and treatment strategies for CVD caused by hypertension.