ABSTRACT
BACKGROUND: Decreased expression of the T cell receptor (TCR) ζ-chain has been reported in autoimmune diseases. Recent evidence suggests that this deficiency may be due to polymorphisms in the CD3Z (CD247) gene and/or due to promoter hypermethylation. METHODS: Altogether 131 subjects - 36 with dermatomyositis (DM) and 95 healthy controls were genotyped for rs1052230 G > C and rs1052231 T > A polymorphisms using TaqMan assay. The rs840015 G > A polymorphism was analyzed by direct sequencing. The promoter methylation status was analyzed by Sanger sequencing of bisulfite converted DNA. RESULTS: The rs1052230GC genotype and C allele and the rs1052231TA genotype and T allele were found to correlate with photosensitivity as well as the rs1052230C/rs1052231T haplotype. The rs1052231TA genotype was found to be associated with cutaneous disease. The rs840015GG genotype was found increased among patients with DM, leading to increased OR 2.4. On the contrary, the rs840015GA genotype appeared to be protective for the development of DM. From the 11 cytosine-phosphate-guanine (CpG) islands analyzed, only the 8th island showed a difference in its methylation due to the polymorphism rs840015 G > A within this island, as our results suggest. In this way the presence of AA genotype led to no methylation and the presence of the GG genotype was associated with hemimethylation. CONCLUSION: The CD247 rs1052230 G > C and rs1052231 T > A polymorphisms appeared to have a disease-modifying role. The rs840015GA genotype being associated with reduced methylation has a protective role for the development of dermatomyositis and our results suggest that CpG related single nucleotide polymorphisms may play an important role in autoimmunity.
Subject(s)
CD3 Complex , Dermatomyositis , Polymorphism, Single Nucleotide , CD3 Complex/genetics , Cytosine , DNA Methylation , Dermatomyositis/genetics , Genotype , Guanine , Humans , PhosphatesABSTRACT
Aim & Methods: A total of 169 Bulgarian patients were genotyped for CYP2C9*2,*3, VKORC1-1639G>A and VKORC11173C>T. The effect of genetic and nongenetic factors on acenocoumarol dose variability was tested in a derivation cohort of patients and the obtained algorithm was validated in a test cohort. RESULTS & DISCUSSION: It was found that VKORC-1639G>A (25.5%), CYP2C9*2 (7.8%), CYP2C9*3 (6.1%), age (13.6%) and diagnosis (6.0%) significantly affected acenocoumarol dose variability in the derivation cohort. These factors with additional factors, such as sex (0.1%, p = 0.76), weight (2.6%, p = 0.14) and amiodarone use (3.0%, p = 0.059) accounted for 46.5% and 23.0% of the dose variability for genetic and clinical models, respectively. CONCLUSION: Based on the results of this investigation, validated clinical and pharmacogenetic algorithms for the prediction of a stable anticoagulant dose were developed, specifically designed for the Bulgarian population.