Showing 2 results for Niknam
Mohammad Hossein Niknam, Ali Rafinejad, Ali Akbar Amirzargar, Farideh Khosravi, Bagher Larijani,
Volume 3, Issue 2 (16 2004)
Abstract
Background: Type 1A Diabetes Mellitus (T1DM) is a chronic and progressive auto- immune disorder resulting from immune mediated destruction of Langerhans islet beta cells. The etiology of T1DM like the other autoimmune diseases is unknown and many factors are involved, Both humoral and cell-mediated immunity have a critical role in T1DM pathogenesis. The cytokines, the immunomodulatory peptides, are responsible for the immune cell recruitment and producing auto-antibodies by the immune effector cells. To evaluate the role of cytokines in sensitivity or resistance to T1DM, we have employed IFN gamma to determine their gene polymorphisms and their association with T1DM.
Methods: 30 patient suffering from T1DM and 40 normal control were studied simultaneously .PCR technique was used to characterize the polymorphisms of cytokine. Salting out method was performed for DNA isolation .The polymorphosime of IFN gamma gene was determined on position UTR+5664`5.The PCR products were evaluated by Gel Electerophoresis Technique.
Results: There was a significant difference between patient and control group in TT allele IFN gamma gene: p<0.05, RR: 0.39(0.22
Negar Sarhangi, Mandana Hasanzad, Fatemeh Rouhollah, Shekoufeh Nikfar, Farshad Sharifi, Negar Niknam,
Volume 25, Issue 2 (7-2025)
Abstract
Background: Pharmacogenomics (PGx), as a growing field of personalized medicine, aims to optimize the efficacy and safety of medications by studying the association between germline genetic variations and drug responses. The present cross-sectional study aims to evaluate the allele frequency of the NUDT15 genetic variant in the Iranian population to provide insights into personalized treatment decisions in the Iranian population.
Methods: A representative sample set of 1142 unrelated healthy Iranian individuals aged 18 and older genotyped using the Infinium Global Screening Array-24 BeadChip.
Results: We identified a pharmacogenetic variant with minor allele frequency (MAF) ≥1% among the present studied population which may explain the substantial variability in drug response phenotypes among different populations
Conclusion: The results of our study revealed significant genetic variation among Iranian populations that could significantly influence clinical decision-making. This study shows the frequency pattern of the effective variant of NUDT15 in determining the phenotype in Iranian population.
