BACKGROUND:Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic synovitis that progresses to destruction of cartilage and bone. AIM:The purpose of this study was to employ microarray analysis combined with bioinformatics techniques to evaluate differential gene expression in BM-derived mononuclear cells obtained from patients with rheumatoid arthritis (RA) or osteoarthritis (OA) to study the pathogenesis of this disease. MATERIALS AND METHODS:Gene expression profiles in BM-derived mononuclear cells from 9 RA and 10 OA patients were obtained from GEO. RESULTS:The bone marrow (BM) mononuclear cells showed 2581 up-regulated and 649 down-regulated genes in RA patients relative to the OA group: Our analysis indicated that several differentially expressed genes might play crucial roles in RA development, including SP1, RARA, ETS1, ETS2, FOS and ESR1. CONCLUSIONS:Further analysis predicted these genes might be involved in RA through cancer related pathways and immunity related pathways. Furthermore, these genes may serve as novel therapeutic targets for the treatment of RA.

译文

背景:类风湿关节炎(RA)是一种全身性自身免疫性疾病,其特征在于慢性滑膜炎,其发展为软骨和骨骼的破坏。
目的:本研究的目的是将微阵列分析与生物信息学技术结合使用,以评估类风湿关节炎(RA)或骨关节炎(OA)患者获得的BM来源的单核细胞中的差异基因表达,以研究该疾病的发病机理。
材料与方法:从GEO获得了9名RA和10名OA患者的BM来源的单核细胞的基因表达谱。
结果:相对于OA组,RA患者的骨髓(BM)单核细胞显示2581个上调基因和649个下调基因:我们的分析表明,几个差异表达基因可能在RA发育中起关键作用,包括SP1,RARA ,ETS1,ETS2,FOS和ESR1。
结论:进一步的分析预测这些基因可能通过癌症相关途径和免疫相关途径参与RA。此外,这些基因可以作为RA的新治疗靶标。

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