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http://dx.doi.org/10.5653/cerm.2020.03370

Association of GRIA1 polymorphisms with ovarian response to human menopausal gonadotropin in Iranian women  

Golestanpour, Hossein (Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences)
Javadi, Gholamreza (Department of Biology, Science and Research Branch, Islamic Azad University)
Sheikhha, Mohammad Hasan (Abortion Research Center, Yazd Reproductive Sciences Institute)
Publication Information
Clinical and Experimental Reproductive Medicine / v.47, no.3, 2020 , pp. 207-212 More about this Journal
Abstract
Objective: Glutamate ionotropic receptor AMPA type subunit 1 (GRIA1) is a subunit of a ligand-gated ion channel that regulates the secretion of follicle-stimulating hormone (FSH) and luteinizing hormone (LH) by controlling the release of gonadotropin-releasing hormone. Few studies have investigated the association between the GRIA1 gene and human infertility. This study evaluated the association of the GRIA1 rs548294 C > T and rs2195450 G > A polymorphisms with the ovarian response to human menopausal gonadotropin (HMG) in Iranian women. Methods: One hundred women with histories of at least 1 year of infertility were included. On the second day of menstruation, patients were injected with HMG; on the third day, blood samples were collected. After hormonal analysis, the GRIA1 rs548294 C > T and rs2195450 G > A genotypes of samples were identified via the restriction fragment length polymorphism method, and on day 9, the number of follicles was assessed via ultrasound. Results: For the GRIA1 rs548294 C > T and rs2195450 G > A single nucleotide polymorphisms, the subjects with CT and GG genotypes, respectively, displayed the highest mean FSH level, LH level, and number of follicles on day 9 of the menstrual cycle (p< 0.05). Significant positive correlations were observed between LH and FSH (p< 0.01), LH and follicle count (p< 0.01), FSH and age (p< 0.05), follicle count and age (p= 0.048), and FSH and follicle count (p< 0.01). Conclusion: This study showed a significant relationship between GRIA1 polymorphisms and ovarian response to the induction of ovulation. Therefore, determining patients' GRIA1 genotype may be useful for improving treatment and prescribing suitable doses of ovulation-stimulating drugs.
Keywords
GRIA1; Ovarian stimulation; Polymorphism; Restriction fragment length polymorphism;
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