Project description:Dermatomyositis is a cutaneous and muscular auto-immune condition associated with specific autoantibodies. MDA5 antibody-associated DM has higher mortality. We demonstrate here for the first time using skin microarray analysis that MDA5+ DM is associated with a greater type I interferon skin signature than MDA5- DM, mainly involving the IFN- κ member produced by skin keratinocytes
Project description:The purpose of this study was to use global gene expression analysis to determine major functional pathways and genes dysregulated in the skin of active rashes of dermatomyositis patients. These data will be used to help assign a diagnosis to skin biopsies from patients with rashes that are not clearly dermatomyositis. In addition, we will correlate gene expression changes with specific histopathologic changes in skin biopsies that are taken adjacent to those analyzed for gene expression analysis. Finally, these data will be used to search for genes and pathways that are associated with clinical outcomes and autoantibody status in this cohort of patients. Gene expression profiling of healthy donor and dermatomyositis patient skin biopsy specimens.
Project description:This study aimed to investigate the expression of microRNAs (miRNAs) in the plasma from polymyositis (PM) and dermatomyositis (DM) patients, which fluctuated by treatment. More differentially expressed miRNAs were found in plasma of DM patients compared to PM patients before and after treatment, and their profiles were different.
Project description:The purpose of this study was to use global gene expression analysis to determine major functional pathways and genes dysregulated in the skin of active rashes of dermatomyositis patients. These data will be used to help assign a diagnosis to skin biopsies from patients with rashes that are not clearly dermatomyositis. In addition, we will correlate gene expression changes with specific histopathologic changes in skin biopsies that are taken adjacent to those analyzed for gene expression analysis. Finally, these data will be used to search for genes and pathways that are associated with clinical outcomes and autoantibody status in this cohort of patients.