GMJ Medicine
eISSN : 2626-3041
Embase
Biosis Previews
description
Volume 3, Issue 3 (2024)
GMJM 2024, 3(3): 97-101 |
Back to browse issues page
Article Type:
Subject:
History
Received: 2024/07/5 | Accepted: 2024/09/2 | Published: 2024/09/17
Received: 2024/07/5 | Accepted: 2024/09/2 | Published: 2024/09/17
How to cite this article
Haghipanah M, Safarbalou A, Saadat M, Rostami Mehr S. Relationship between SREBF-1 Polymorphism and Insulin Resistance in Polycystic Ovary Syndrome Women. GMJM 2024; 3 (3) :97-101
URL: http://gmedicine.de/article-2-372-en.html
URL: http://gmedicine.de/article-2-372-en.html
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rights and permissions
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
1- International Center for Neuroscience Research, Institute for Intelligent Research, Tbilisi, Georgia
2- Department of Anatomical Sciences, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
3- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Department of Anatomical Sciences, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
3- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
Abstract (647 Views)
Aims: It was reported that there was a significant relationship between 54G/C SREBF1 and diabetes. There may be a relation between SREBF-1 polymorphism and insulin resistance in women with PCOS, but this relation is unknown. This study investigated the relationship between SREBF-1 polymorphism and insulin resistance in polycystic ovary syndrome women.
Materials & Methods: Two hundred subjects were studied; 100 polycystic ovary syndrome subjects (case group) and 100 healthy subjects (control group). Blood samples were taken, demographic characteristics were requested, and genomic DNA was extracted. The RFLP-PCR method was used to determine the mutations of 54G/C SREBF1. Following laboratory investigation, the data were investigated using SPSS 23 software. The mutant alleles rate was determined by analysis of variance.
Findings: The genotypic frequency of GG and CC was significantly higher in patients than in the control group. In contrast, the frequency of heterozygosity was significantly higher in the control group than in the PCOS group. Allelic frequency was 78.00 for the G allele and 22.00 for the C allele in the patient group. In the healthy group, it was 75% for the G allele and 25% for the C allele. The results showed that homozygote genotypes had higher glucose and insulin resistance sensitivity.
Conclusion: The 54G/C polymorphism of SREBF-1 plays a significant role in polycystic ovary syndrome and is closely related to glucose and insulin resistance. Thus, G/C genotype frequency could be considered a biomarker for the detection of PCOS.
Materials & Methods: Two hundred subjects were studied; 100 polycystic ovary syndrome subjects (case group) and 100 healthy subjects (control group). Blood samples were taken, demographic characteristics were requested, and genomic DNA was extracted. The RFLP-PCR method was used to determine the mutations of 54G/C SREBF1. Following laboratory investigation, the data were investigated using SPSS 23 software. The mutant alleles rate was determined by analysis of variance.
Findings: The genotypic frequency of GG and CC was significantly higher in patients than in the control group. In contrast, the frequency of heterozygosity was significantly higher in the control group than in the PCOS group. Allelic frequency was 78.00 for the G allele and 22.00 for the C allele in the patient group. In the healthy group, it was 75% for the G allele and 25% for the C allele. The results showed that homozygote genotypes had higher glucose and insulin resistance sensitivity.
Conclusion: The 54G/C polymorphism of SREBF-1 plays a significant role in polycystic ovary syndrome and is closely related to glucose and insulin resistance. Thus, G/C genotype frequency could be considered a biomarker for the detection of PCOS.
Keywords: