The Effect of Green Tea Extract on Reproductive Improvement in Estradiol Valerate-Induced Polycystic Ovary Polycystic Ovarian Syndrome in Rat

Document Type : Research article

Authors

1 1.3. Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.

2 Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.

Abstract

Polycystic ovary syndrome (PCOS) is a reproductive and metabolic disorder in which the
level of oxidative elements in blood rises. Green tea is a potent antioxidant since it contains
catechins. In this study, the effect of hydro-alcoholic green tea extract on PCOS rats was examined.
For PCOS induction, 96 mature Wistar rats were given estradiol valerate. After 60 days, the
rats were divided into four groups including PCOS group and three experimental groups, which
were given 50, 100 and 200 mg/Kg BW green tea extract 10 days, intraperitoneally. The serum
concentration level of FSH, LH, testosterone and insulin were measured using ELISA method,
while the serum concentration level of glucose was measured using glucose oxidase methods.
Insulin resistance was calculated using HOMA-IR formulation. The data were analyzed using
the one-Way ANOVA method considering P<005/ level of significance.
There were a significant reduction in LH serum level, body and ovarian weight between the
green tea extract treated-groups compare to PCOS. Moreover, a significant reduction in insulin
resistance index was seen in the treatment groups related to PCOS. Histomorphometric studies
also showed the significant changes in the number of follicles and theca layer thickness.
These changes demonstrated a marked improvement in the symptoms of PCOS which may
be due to green tea effects on oxidative stress pathways. Green tea can be considered as a
potentially effective drug for treatment of PCOS, Insulin resistance and Type II diabetes.

Keywords

Main Subjects

Iranian Journal of Pharmaceutical Research
Volume 14, Issue 4 - Serial Number 4
Autumn 2015
Pages 1215-1223

Files

Share

How to cite

Statistics