tailieunhanh - Báo cáo y học: "Tipping the balance in autoimmune disease"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Tipping the balance in autoimmune disease. | Meeting report Tipping the balance in autoimmune disease Mary Collins Address Wyeth Research Cambridge Park Drive Cambridge MA 02140 USA. Published 2 November 2007 Genome Biology 2007 8 317 doi gb-2007-8-l0-3l7 The electronic version of this article is the complete one and can be found online at http 2007 8 l0 3l7 2007 BioMed Central Ltd A report on the FASEB Summer Research Conference on Autoimmunity Saxtons River USA 14-29 July 2007. We have long known that there are both genetic and non-genetic components in autoimmune disease. Although underlying genetic contributions can increase the likelihood of developing autoimmune disease they do not ensure it implying that environmental components also affect the outcome. The major themes for this year s FASEB conference on autoimmunity were the emerging data on genetic polymorphisms linked with human autoimmune disease and recent developments in our current understanding of immune mechanisms implicated in autoimmune disease. This report focuses on how we can begin to integrate the new genetic data into our current understanding of normal and pathological immune processes. Genome-wide linkage analysis As pointed out by Joan Goverman University of Washington Seattle USA we now know that human autoimmune diseases are truly diseases of immune dysfunction. The proof of this lies in the genes that have recently been associated with the development of multiple sclerosis MS type 1 diabetes systemic lupus erythematosis SLE Crohn s disease CD and rheumatoid arthritis RA . Interestingly some of the predisposing genes are shared between different diseases suggesting common mechanisms underlying the pathology of these diseases. There are also unique genetic components however indicating that distinct pathways are contributing to the etiology of each disease. Large groups of researchers have now come together to share populations of patients and identify genetic linkages using large-scale analysis of .