. Ahead of Print: TJOD-06626

Long noncoding RNA maternally expressed gene 3 (MEG3) rs4081134 gene polymorphism and preeclampsia risk

shaghayegh saljoughi1, Hasan Dana1, Mahtab Norouzi1, Hossein Shahraki Ghadimi1, Marzieh Ghasemi2, Mansooreh Zargar2, Mohsen Saravani1
1Department of Clinical Biochemistry, Genetics of Non-communicable Disease Research Center, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
2Department of Obstetrics and Gynecology, Pregnancy Health Research Center, Zahedan University of Medical Sciences, Zahedan, Iran

Objective: Preeclampsia (PE), a significant challenge for the health system, is a hypertensive disorder in pregnancy. Several studies have demonstrated the crucial role of long non-coding RNAs (lncRNAs) in the pathogenesis of preeclampsia (PE) by modulating maternal vascular smooth muscle cells and trophoblasts biological behaviors. This study was designed to assess the effect of MEG3 rs4081134 gene polymorphism on susceptibility to PE.
Materials and methods: We conducted a case-control study comprising 130 pregnant women with preeclampsia (PE) and 140 healthy pregnant women with normal pregnancies. The type of genotype was assigned using the PCR-RFLP method.
Results: There was a significant association between PE risk and AA genotype and the recessive model, suggesting that they may act as a protective factor in PE development. Other genotypes, genetic models, and Allelic distribution were not significantly related to the PE risk. Moreover, in pregnant women affected by preeclampsia, significant relationship was found between the newborn’s Birth weight and the MEG3 rs4081134 gene polymorphism.
Conclusion: We found a significant association between AA genotype, in addition to recessive model of MEG3 rs4081134 gene polymorphism and PE deployment. Furthermore, pertaining to women diagnosed with preeclampsia, there was a significant association between MEG3 rs4081134 gene polymorphism and newborn’s Birth weight.

Keywords: Maternally expressed gene 3, Preeclampsia, Gene, Polymorphism




Corresponding Author: Mohsen Saravani, Iran


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