Document Type : Original Article
Authors
1
PhD in Medical Genetics, Noorgene Genetic & Clinical Laboratory, Molecular Research Center, Ahvaz, Iran.
2
Assistant Professor, Department of Obstetrics and Gynecology, Faculty of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran.
3
M.Sc. of Medical-Surgical Nursing, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
4
Resident, Department of Obstetrics and Gynecology, Preventative Gynecology Diseases Research Center, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
5
Resident, Department of Obstetrics and Gynecology, Shahid Akbarabadi Clinical Research Development Unit, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
6
PhD in Applied Cell Sciences, Stem Cell and Developmental Biology Department, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, Tehran, Iran.
7
Instructor of Critical Care Nursing, School of Allied Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran.
10.22038/ijogi.2025.89527.6485
Abstract
Introduction: High blood pressure in preeclampsia is one of the most important complications in these patients, which increases the risk of cardiovascular disease. Given that genes play an important role in the occurrence of blood pressure through biological processes, the use of bioinformatics analysis, which is a new and innovative method, can be effective in identifying influential genes. The present study was conducted with aim to evaluate the role of genes and molecular pathways in the development of cardiovascular diseases in preeclampsia patients.
Methods: The GEO database was used to extract data. The extracted databases included GSE48424, GSE99007, and GSE91189. These data were related to patients with severe and non-severe forms of preeclampsia. The criteria selected for the data included |logFC| greater than one and p<0.05. Finally, data analysis was performed using the GEO2R tool.
Results: After clustering genes for the dataset, 235 highly expressed genes and 546 low expressed genes were obtained in non-severe and severe forms of preeclampsia. The results showed that the changes in gene expression between patients and healthy individuals were mainly involved in biological processes including inflammation, cell adhesion, and cell metabolism. The genes that had the most important roles and the most correlations with other genes were HLTF, SUMO1, KDR, SNRPD3, DERL2, VCP, EIF4B, NOTCH1, SOCS3, CBL, ICAM-1, ITGB2, STRN, MEF2A, and PTPRC. Also, the most important microRNAs were miR-3135-3P, miR-5085, and miR-6-5085.
Conclusion: Identifying the upstream and downstream pathways of genes can probably help in designing preventive and therapeutic strategies, which requires further studies.
Keywords
Main Subjects