ISSN: 0970-938X (Print) | 0976-1683 (Electronic)

Biomedical Research

An International Journal of Medical Sciences


Nuclear factor E2-related factor expression and its relationship with oxidative stress in the placenta of pregnant diabetic rats

Objective: The aim of this study is to investigate Nrf2 expression in placenta of gestational diabetes mellitus rat (GDM) and the relationship between oxidative stress.

Methods: Thirty pregnancy SD rats were chosen in our study, and randomly divided into 3 groups: normal control group, GDM group and GDM+Oltipraz (5 mg/kg, via intragastric administration 1 hour before STZ treatment) group. GDM and GDM group were treatment with Streptozotocin (STZ) via intraperitoneal injection once a week, the control group was treatment with the same amount of citric acid buffer. On day 20 of pregnant period, anesthesia and dissect rats, placenta tissue and blood were prepared for experiment. The expression of Nrf2 in placenta was determined by western blotting. Insulin expression and Total antioxidative capability and MDA were detection by ELISA Kit.

Results: Blood glucose has been increased significantly when the GDM group and control group were compared with the difference was statistically significant. With the GDM group, the intervention group was compared so that the placental insulin levels were significantly increased and the difference was statistically significant. GDM group Nrf2 protein expression levels were significantly increased and the difference was statistically significant (P<0.05) when it is compared with normal group.

Conclusion: GDM is a problem of great clinical importance core for the development of numerous adverse maternal and perinatal outcomes. Through the placenta tissue of rat insulin levels, total antioxidant capacity (total antioxidant capacity, TAC), lipid peroxidation levels and protein expression of Nrf2, this study recognized a gestational diabetic rat model to explore the possible pathogenesis of gestational diabetes, and provided a theoretical basis for clinical treatment.

Author(s): Hongping Zhang, Jianqiong Zheng, Yehui Zhang, Yeping Wang, Jianxin Li, Xiaomin Xu, Min Lin, Xiaoqin Li
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