Satoh Jun-ichi, Nakanishi Megumi, Koike Fumiko, Onoue Hiroyuki, Aranami Toshimasa, Yamamoto Toshiyuki, Kawai Mitsuru, Kikuchi Seiji, Nomura Kyouichi, Yokoyama Kazumasa, Ota Kohei, Saito Toshiro, Ohta Masayuki, Miyake Sachiko, Kanda Takashi, Fukazawa Toshiyuki, Yamamura Takashi
Department of Immunology, National Institute of Neuroscience, NCNP, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8502, Japan.
J Neuroimmunol. 2006 May;174(1-2):108-18. doi: 10.1016/j.jneuroim.2006.02.004. Epub 2006 Mar 27.
To clarify the molecular background underlying the heterogeneity of multiple sclerosis (MS), we characterized the gene expression profile of peripheral blood CD3+ T cells isolated from MS and healthy control (CN) subjects by using a cDNA microarray. Among 1258 cDNAs on the array, 286 genes were expressed differentially between 72 untreated Japanese MS patients and 22 age- and sex-matched CN subjects. When this set was used as a discriminator for hierarchical clustering analysis, it identified four distinct subgroups of MS patients and five gene clusters differentially expressed among the subgroups. One of these gene clusters was overexpressed in MS versus CN, and particularly enhanced in the clinically most active subgroup of MS. After 46 of the MS patients were treated with interferon-beta (IFNbeta-1b) for two years, IFNbeta responders were clustered in two of the four MS subgroups. Furthermore, the IFNbeta responders differed from nonresponders in the kinetics of IFN-responsive genes at 3 and 6 months after starting IFNbeta treatment. These results suggest that T-cell gene expression profiling is valuable to identify distinct subgroups of MS associated with differential disease activity and therapeutic response to IFNbeta.
为了阐明多发性硬化症(MS)异质性背后的分子背景,我们通过使用cDNA微阵列对从MS患者和健康对照(CN)受试者中分离出的外周血CD3 + T细胞的基因表达谱进行了表征。在阵列上的1258个cDNA中,72名未经治疗的日本MS患者与22名年龄和性别匹配的CN受试者之间有286个基因表达存在差异。当将这组基因用作层次聚类分析的判别指标时,它识别出了MS患者的四个不同亚组以及在这些亚组之间差异表达的五个基因簇。其中一个基因簇在MS患者中相对于CN受试者过度表达,并且在临床上最活跃的MS亚组中尤其增强。46名MS患者接受β-干扰素(IFNβ-1b)治疗两年后,IFNβ反应者聚集在四个MS亚组中的两个中。此外,在开始IFNβ治疗后3个月和6个月时,IFNβ反应者与无反应者在IFN反应基因的动力学方面存在差异。这些结果表明,T细胞基因表达谱分析对于识别与不同疾病活动度和对IFNβ治疗反应相关的MS不同亚组具有重要价值。