Barnes M G, Aronow B J, Luyrink L K, Moroldo M B, Pavlidis P, Passo M H, Grom A A, Hirsch R, Giannini E H, Colbert R A, Glass D N, Thompson S D
William S. Rowe Division of Rheumatology, Cincinnati Children's Hospital Medical Center, OH 45229, USA.
Rheumatology (Oxford). 2004 Aug;43(8):973-9. doi: 10.1093/rheumatology/keh224. Epub 2004 May 18.
To evaluate the ability of microarray-based methods to identify genes with disease-specific expression patterns in peripheral blood mononuclear cells (PBMC) and synovial fluid mononuclear cells (SFMC) of juvenile arthritis patients and healthy controls.
Microarray data (Affymetrix U95Av2) from 26 PBMC and 20 SFMC samples collected from patients with active disease (classified by course according to ACR criteria) were analysed for expression patterns that correlated with disease characteristics. For comparison, PBMC gene expression profiles were obtained from 15 healthy controls. Real-time PCR was used for confirmation of gene expression differences.
Statistical analysis of gene expression patterns in PBMC identified 378 probe sets corresponding to 342 unique genes with differing expression levels between polyarticular course patients and controls (t test, P<0.0001). The genes represented by these probe sets were enriched for functions related to regulation of immune cell functions, receptor signalling as well as protein metabolism and degradation. Included in these probe sets were a group of CXCL chemokines with functions related to angiogenesis. Further analysis showed that, whereas angiogenic CXCL (ELR+) gene expression was elevated in polyarticular PBMC, expression of angiostatic CXCL (ELR-) chemokines was lower in polyarticular SFMC compared with corresponding pauciarticular samples (t test, P<0.05).
This pilot study demonstrates that juvenile arthritis patients exhibit complex patterns of gene expression in PBMC and SFMC. The presence of disease-correlated biologically relevant gene expression patterns suggests that the power of this approach will allow better understanding of disease mechanisms, identify distinct clinical phenotypes in disease subtypes, and suggest new therapeutic approaches.
评估基于微阵列的方法在幼年关节炎患者和健康对照者的外周血单核细胞(PBMC)及滑液单核细胞(SFMC)中识别具有疾病特异性表达模式基因的能力。
分析从活动性疾病患者(根据美国风湿病学会标准分类病程)采集的26份PBMC样本和20份SFMC样本的微阵列数据(Affymetrix U95Av2),以寻找与疾病特征相关的表达模式。作为对照,从15名健康对照者获取PBMC基因表达谱。采用实时聚合酶链反应确认基因表达差异。
对PBMC中基因表达模式的统计分析确定了378个探针集,对应342个独特基因,多关节型病程患者与对照者之间表达水平不同(t检验,P<0.0001)。这些探针集所代表的基因在与免疫细胞功能调节、受体信号传导以及蛋白质代谢和降解相关的功能方面富集。这些探针集中包括一组与血管生成相关的CXCL趋化因子。进一步分析表明,虽然血管生成性CXCL(ELR+)基因在多关节型PBMC中表达升高,但与相应少关节型样本相比,血管抑制性CXCL(ELR-)趋化因子在多关节型SFMC中的表达较低(t检验,P<0.05)。
这项初步研究表明,幼年关节炎患者在PBMC和SFMC中表现出复杂的基因表达模式。存在与疾病相关的生物学相关基因表达模式表明,这种方法的作用将有助于更好地理解疾病机制,识别疾病亚型中的不同临床表型,并提出新的治疗方法。