ArticleClinical and experimental reproductive medicine2020
Association of GRIA1 polymorphisms with ovarian response to human menopausal gonadotropin in Iranian women.
Article in Clinical and experimental reproductive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 12 citations in OpenAlex.
- Transcriptome sequencing identified the ceRNA network associated with recurrent spontaneous abortion.BMC medical genomics · 2021Article
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3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveGlutamate 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.
methodsOne 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.
resultsFor 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).
conclusionThis 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.
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