Rabbit Anti-Human NCF1 (Phospho-Ser328) polyclonal antibody

Aims: In this study, we investigate the role of reactive oxygen species (ROS) and reactive nitrogen species (RNS) in autoimmune diseases. We focus on oxidative regulation at the interaction between antigen-presenting cells (APCs) and T cells, and consequent effect of ROS and RNS on type II collagen (CII)-induced arthritis (CIA) model in mice. Results: Mice deficient in ROS and peroxide, due to a mutation in Ncf1 gene, develop an exaggerated CIA and a stronger T cell response to CII. In contrast, nitric oxide synthase inhibitor NG-nitro-L-arginine methyl ester (L-NAME) was found to protect against CIA. The most pronounced protective effect was observed when L-NAME treatment started immediately after CII immunization. Ten days after immunization, the CII-reactive T cell-proliferative response was greater in Ncf1-mutant mice that were treated with L-NAME. T cells from L-NAME-treated mice, primed with CII, showed lower interleukin-2 secretion in response to CII in vitro. Moreover, inhibition of RNS production resulted in dysregulation of NOS1 (neuronal) expression in CII-reactive T cells. Innovation and Conclusion: The results support that deficiency of a paracrine factor as ROS and peroxide released by APC leads to pronounced activation of T cells and enhanced arthritis. An intrinsic factor might be RNS produced by NOS1, which likely enhanced T cell activation in an autocrine manner.

Rat models have been used to investigate physiological and pathophysiological mechanisms for decades. With the availability of the rat genome and other online resources, tools to identify rat models that mimic human disease are an important step in translational research. Despite the large number of papers published each year using rat models, integrating this information remains a problem. Resources for the rat genome are continuing to grow rapidly, while resources providing access to rat phenotype data are just emerging. An overview of rat models of disease, tools to characterize strain by phenotype and genotype, and steps being taken to integrate rat physiological data is presented in this article. Integrating functional and physiological data with the rat genome will build a solid research platform to facilitate innovative studies to unravel the mechanisms resulting in disease.