Rabbit Anti-Human STAT4 monoclonal antibody, clone KK19-96

Recent studies have highlighted a role for the alarmin interleukin (IL)-33 in CD4(+) and CD8(+) T cell activation and function, and have also revealed important distinctions. The IL-33 receptor ST2 is constitutively and abundantly expressed on T-helper-2 (Th2) and GATA-3(+) regulatory T cells in a GATA-3- and STAT5-dependent manner. Upon activation, Th1 and cytotoxic T cells express ST2 transiently, driven by T-bet and/or STAT4. We review these findings here, and critically examine evidence indicating that IL-33 enhances the differentiation and functionality of various T cell subsets through positive feedback loops involving lineage-specifying transcription factors. In this context, we discuss how quantitative and qualitative differences in ST2 expression between effector and GATA-3(+) regulatory T cells may contribute to immune homeostasis, and outline important areas of future inquiry.

Introduction: Many studies have shown that some SNPs might be a risk factor for systemic lupus erythematosus (SLE), but little is known about potential susceptibility loci of the skin types of the disease. Discoid lupus erythematosus (DLE) is the most common form of the cutaneous lupus erythematosus. Nevertheless, a genetic contribution to DLE is not fully recognized. Aim: We aimed to analyze three SNPs located in the STAT4 (rs7574865), ITGAM (rs1143679) and TNXB (rs1150754) genes in both DLE and SLE patients from Poland. Material and methods: SNPs were genotyped using real-time polymerase chain reaction (PCR). Statistical significance of the differences between patient and control groups in both allele and genotype frequencies were calculated using two tailed Fisher's exact test. The correction for multiple testing by the Bonferroni adjustment and odds ratio were also calculated. Results: For the first time, we have shown that the polymorphisms located in the STAT4 (rs7574865), but not in the ITGAM (rs1143679) nor the TNXB (rs1150754) genes, might be associated with the development of DLE within the Polish population. The variation of the three investigated SNPs was found to be associated with SLE in our dataset. Conclusions: The results of our study suggest differences in the molecular background between DLE and SLE within the Polish population.