van der Pouw Kraan Tineke C T M, van Gaalen Floris A, Kasperkovitz Pia V, Verbeet Nicolette L, Smeets Tom J M, Kraan Maarten C, Fero Mike, Tak Paul-Peter, Huizinga Tom W J, Pieterman Elsbet, Breedveld Ferdinand C, Alizadeh Ash A, Verweij Cornelis L
Department of Molecular Cell Biology, VU Medical Center, van der Boechorst straat 7, 1081 BT Amsterdam, The Netherlands.
Arthritis Rheum. 2003 Aug;48(8):2132-45. doi: 10.1002/art.11096.
To generate a molecular description of synovial tissue from rheumatoid arthritis (RA) patients that would allow us to unravel novel aspects of pathogenesis and to identify different forms of disease.
We applied complementary DNA microarray analysis to profile gene expression, with a focus on immune-related genes, in affected joint tissues from RA patients and in tissues from osteoarthritis (OA) patients as a control. To validate microarray data, real-time polymerase chain reaction was performed on genes of interest.
The gene expression signatures of synovial tissues from RA patients showed considerable variability, resulting in the identification of at least two molecularly distinct forms of RA tissues. One class of tissues revealed abundant expression of clusters of genes indicative of an involvement of the adaptive immune response. Detailed analysis of the expression profile provided evidence for a prominent role of an activated signal transducer and activator of transcription 1 pathway in these tissues. The expression profiles of another group of RA tissues revealed an increased tissue remodeling activity and a low inflammatory gene expression signature. The gene expression pattern in the latter tissues was reminiscent of that observed in the majority of OA tissues.
The differences in the gene expression profiles provide a unique perspective for distinguishing different pathogenetic RA subsets based on molecular criteria. These data reflect important aspects of molecular variation that are relevant for understanding the biologic dysregulation underlying these subsets of RA. This approach may also help to define homogeneous groups for clinical studies and evaluation of targeted therapies.
生成类风湿关节炎(RA)患者滑膜组织的分子描述,以便我们揭示发病机制的新方面并识别不同形式的疾病。
我们应用互补DNA微阵列分析来描绘基因表达,重点关注免疫相关基因,分析对象为RA患者受累关节组织以及作为对照的骨关节炎(OA)患者组织。为验证微阵列数据,对感兴趣的基因进行了实时聚合酶链反应。
RA患者滑膜组织的基因表达特征显示出相当大的变异性,从而鉴定出至少两种分子上不同的RA组织形式。一类组织显示出大量基因簇的表达,表明适应性免疫反应参与其中。对表达谱的详细分析为激活的信号转导和转录激活因子1通路在这些组织中的突出作用提供了证据。另一组RA组织的表达谱显示组织重塑活性增加且炎症基因表达特征较低。后一组组织中的基因表达模式让人联想到在大多数OA组织中观察到的模式。
基因表达谱的差异为基于分子标准区分不同致病型RA亚组提供了独特视角。这些数据反映了分子变异的重要方面,这些方面与理解这些RA亚组潜在的生物失调相关。这种方法也可能有助于为临床研究和靶向治疗评估定义同质组。