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首页> 外文期刊>Arthritis & Rheumatism >Biologic similarities based on age at onset in oligoarticular and polyarticular subtypes of juvenile idiopathic arthritis
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Biologic similarities based on age at onset in oligoarticular and polyarticular subtypes of juvenile idiopathic arthritis

机译：幼年特发性关节炎的寡关节和多关节亚型的发病年龄生物学相似性

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ObjectiveTo explore biologic correlates to age at onset in patients with juvenile idiopathic arthritis (JIA) using peripheral blood mononuclear cell (PBMC) gene expression analysis.MethodsPBMCs were isolated from 56 healthy controls and 104 patients with recent-onset JIA (39 with persistent oligoarticular JIA, 45 with rheumatoid factor–negative polyarticular JIA, and 20 with systemic JIA). RNA was amplified and labeled using NuGEN Ovation, and gene expression was assessed with Affymetrix HG-U133 Plus 2.0 GeneChips.ResultsA total of 832 probe sets revealed gene expression differences (false discovery rate 5%) in PBMCs from children with oligoarticular JIA whose disease began before age 6 years (early-onset disease) compared with those whose disease began at or after age 6 years (late-onset disease). In patients with early-onset disease, there was greater expression of genes related to B cells and less expression of genes related to cells of the myeloid lineage. Support vector machine analyses identified samples from patients with early- or late-onset oligoarticular JIA (with 97% accuracy) or from patients with early- or late-onset polyarticular JIA (with 89% accuracy), but not from patients with systemic JIA or healthy controls. Principal components analysis showed that age at onset was the major classifier of samples from patients with oligoarticular JIA and patients with polyarticular JIA.ConclusionPBMC gene expression analysis reveals biologic differences between patients with early-and late-onset JIA, independent of classification based on the number of joints involved. These data suggest that age at onset may be an important parameter to consider in JIA classification. Furthermore, pathologic mechanisms may vary with age at onset, and understanding these processes may lead to improved treatment of JIA.
机译：目的通过外周血单个核细胞（PBMC）基因表达分析探讨青少年特发性关节炎（JIA）发病与年龄的生物学相关性。方法从56例健康对照者和104例新近发生的JIA（39例持续性少关节型JIA）患者中分离PBMC。 ，风湿因子阴性多关节JIA为45，全身性JIA为20）。使用NuGEN Ovation对RNA进行扩增和标记，并使用Affymetrix HG-U133 Plus 2.0 GeneChips评估基因表达。结果共有832个探针集揭示了疾病初发的少关节JIA儿童的PBMC中的基因表达差异（错误发现率5％）。与在6岁或之后开始发病的人（晚发病）相比，在6岁之前（早发病）。在患有早发型疾病的患者中，与B细胞相关的基因表达较高，而与髓系谱系细胞相关的基因表达较少。支持向量机分析从早期或晚期发病的少关节型JIA患者（准确度为97％）或早期或晚期发作的多关节JIA患者（准确度为89％）中鉴定的样品，但不是系统性JIA或健康对照。主成分分析表明，发病年龄是少关节型JIA患者和多关节型JIA患者样本的主要分类法。结论PBMC基因表达分析揭示了早发型和晚发型JIA患者之间的生物学差异，独立于基于数量的分类涉及的关节。这些数据表明，发病年龄可能是JIA分类中要考虑的重要参数。此外，病理机制可能会随着年龄的增长而变化，了解这些过程可能会改善JIA的治疗。

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