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Showing 2 results for Davarnia
Behzad Davarnia, Parvin Mehdipour , Morteza Arei, Seiyed Saeid Hosseini-Asl ,
Volume 12, Issue 2 (summer 2012)
Abstract
Background & Objectives : Breast cancer is among the most frequent disorders among the world. BRCA1 gene was known as a tumor suppressor gene which its loss could be resulted in various destructions in genome. Therefore, changes occurred in its expression level could lead to increasing the effects of oncogene activity on breast cells. Methods : RT-PCR and Q-RT-PCR were used for detecting BRCA1 expression status among 27 primary affected breast cancer patients. The association between its expression status and histopathologic data had been evaluated by statistical assays. Results: Eighty-five percent of patients showed BRCA1 expression and this expression as well as its quantity had significant associations with tumor grade. It was found that tumors with low levels of BRCA1 expression tend to have higher grades. Conclusion : BRCA1 has an important role in suppressing breast tumorogenesis. Corresponding to some of the previous reports, our findings revealed the role of decreasing in BRCA1 expression level as one of the factors which allows tumors to progress.
Elahe Mamashli, Farnaz Seifi Skishahr, Marefat Siahkouhian, Manouchehr Iranparvar, Asadollah Asadi, Behzad Davarnia,
Volume 21, Issue 2 (summer 2021)
Abstract
Background & objectives: Sex impacts the manner in which a person responds to such disease as susceptibility and progression. The aim of this study was to investigate the sex differences in the genotype distribution and allele frequency of some of the adiponectin gene polymorphisms and the comparison of the interaction of the studied polymorphisms and type 2 diabetes-related environment risk factors between males and females.
Methods: This study included 103 males and 79 females with type 2 diabetes and 94 healthy males and 61 healthy females for control. Genotyping was performed using amplification refractory mutation system-PCR (T-ARMS-PCR). Statistical analysis was done using SPSS-26.0. The interaction between SNP-SNP and SNPs-environmental factors was analyzed using MDR (version 3.0.2) software.
Results: Sex-genotype interaction effect was significantly associated only for triglycerides with SNP-11391G/A (p= 0.027). For SNP+45T/G, the difference genotypes were distinctly associated with hemoglobin A1c (p=0.024), body mass index (p=0.033) and body fat percentage (p=0.018). For +276G/T fasting insulin level detected a potential difference in genotypes (p=0.016). Regarding to the results of MDR analysis, the combination of fasting blood glucose, rs17300539 and sex was the best three-factor model. In this model, the distribution of patients according to sex is demonstrated that most men with GA and AA genotypes of -11391G/A had Hemoglobin A1C more than 8.5 while in women there was no relation to genotype found.
Conclusion: Sexual difference impact the interaction between adiponectin gene polymorphisms and environmental risk factors. According to the findings of this study, the effect of environmental risk factors on the progression of type 2 diabetes related to Adiponectin gene polymorphisms are demonstrated within the males more than females.
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