Edwards Christopher J, Feldman Jeffrey L, Beech Jonathan, Shields Kathleen M, Stover Jennifer A, Trepicchio William L, Larsen Glenn, Foxwell Brian Mj, Brennan Fionula M, Feldmann Marc, Pittman Debra D
The Kennedy Institute of Rheumatology Division, Imperial College School of Medicine, London, UK.
Mol Med. 2007 Jan-Feb;13(1-2):40-58. doi: 10.2119/2006-000056.Edwards.
Rheumatoid arthritis (RA) is a chronic inflammatory arthritis. Currently, diagnosis of RA may take several weeks, and factors used to predict a poor prognosis are not always reliable. Gene expression in RA may consist of a unique signature. Gene expression analysis has been applied to synovial tissue to define molecularly distinct forms of RA; however, expression analysis of tissue taken from a synovial joint is invasive and clinically impractical. Recent studies have demonstrated that unique gene expression changes can be identified in peripheral blood mononuclear cells (PBMCs) from patients with cancer, multiple sclerosis, and lupus. To identify RA disease-related genes, we performed a global gene expression analysis. RNA from PBMCs of 9 RA patients and 13 normal volunteers was analyzed on an oligonucleotide array. Compared with normal PBMCs, 330 transcripts were differentially expressed in RA. The differentially regulated genes belong to diverse functional classes and include genes involved in calcium binding, chaperones, cytokines, transcription, translation, signal transduction, extracellular matrix, integral to plasma membrane, integral to intracellular membrane, mitochondrial, ribosomal, structural, enzymes, and proteases. A k-nearest neighbor analysis identified 29 transcripts that were preferentially expressed in RA. Ten genes with increased expression in RA PBMCs compared with controls mapped to a RA susceptibility locus, 6p21.3. These results suggest that analysis of RA PBMCs at the molecular level may provide a set of candidate genes that could yield an easily accessible gene signature to aid in early diagnosis and treatment.
类风湿性关节炎(RA)是一种慢性炎症性关节炎。目前,RA的诊断可能需要数周时间,而且用于预测不良预后的因素并不总是可靠的。RA中的基因表达可能包含独特的特征。基因表达分析已应用于滑膜组织以从分子层面定义不同形式的RA;然而,对取自滑膜关节的组织进行表达分析具有侵入性且在临床上不实用。最近的研究表明,在癌症、多发性硬化症和狼疮患者的外周血单个核细胞(PBMC)中可以识别出独特的基因表达变化。为了鉴定与RA疾病相关的基因,我们进行了全基因组表达分析。对9例RA患者和13名正常志愿者的PBMC中的RNA进行了寡核苷酸阵列分析。与正常PBMC相比,RA中有330个转录本差异表达。差异调节的基因属于不同的功能类别,包括参与钙结合、伴侣蛋白、细胞因子、转录、翻译、信号转导、细胞外基质、质膜整合蛋白、内膜整合蛋白、线粒体、核糖体、结构、酶和蛋白酶的基因。k近邻分析确定了29个在RA中优先表达的转录本。与对照组相比,RA患者PBMC中表达增加的10个基因定位于一个RA易感位点6p21.3。这些结果表明,在分子水平上对RA患者的PBMC进行分析可能会提供一组候选基因,这些基因可以产生一个易于获取的基因特征,以帮助早期诊断和治疗。