Tham khảo luận văn - đề án 'báo cáo y học: " interactions among type i and type ii interferon, tumor necrosis factor, and -estradiol in the regulation of immune response-related gene expressions in systemic lupus erythematosus"', luận văn - báo cáo phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Available online http content 11 1 R1 Research article Interactions among type I and type II interferon tumor necrosis factor and p-estradiol in the regulation of immune response-related gene expressions in systemic lupus erythematosus Hooi-Ming Lee1 Toru Mima1 Hidehiko Sugino1 Chieko Aoki1 Yasuo Adachi1 Naoko Yoshio-Hoshino1 Kenichi Matsubara2 and Norihiro Nishimoto1 Open Access Laboratory of Immune Regulation Graduate School of Frontier Biosciences Osaka University 1-3 Yamada-Oka Suita City Osaka 565-0871 Japan 2DNA Chip Research Incorporated 1-1-43 Suehirocho Tsurumi-ku Yokohama Kanagawa 230-0045 Japan Corresponding author Norihiro Nishimoto norihiro@ Received 28 Aug 2008 Revisions requested 2 Oct 2008 Revisions received 14 Nov 2008 Accepted 3 Jan 2009 Published 3 Jan 2009 Arthritis Research Therapy 2009 11 R1 doi 1 ar2584 This article is online at http content 11 1 R1 2009 Lee et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Introduction Systemic lupus erythematosus SLE is a prototypical autoimmune disease characterized by various clinical manifestations. Several cytokines interact and play pathological roles in SLE although the etiopathology is still obscure. In the present study we investigated the network of immune response-related molecules expressed in the peripheral blood of SLE patients and the effects of cytokine interactions on the regulation of these molecules. Methods Gene expression profiles of peripheral blood from SLE patients and from healthy women were analyzed using DNA microarray analysis. Differentially expressed genes classified into the immune response category were selected and analyzed using bioinformatics tools.
